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Data & Analytics

Articles, blogs, guides and how-tos about business process automation.

  • Clockify Trigger

    Clockify Trigger

    Clockify Trigger is the event-based node for Clockify, a free time tracking tool used by teams to log hours against projects, tasks, and clients. The trigger node in n8n fires whenever a new time entry is created, updated, or completed in Clockify, allowing you to build real-time automations around your team’s tracked time. This is particularly useful for agencies and consultancies that bill by the hour. Instead of manually exporting timesheets and cross-referencing them with invoices, you can automate the entire chain. When a team member logs time, n8n can push that entry to your invoicing tool, update a project budget tracker, or alert a project manager when a task approaches its allocated hours. Common workflows include syncing completed time entries to Xero or QuickBooks for invoicing, posting daily time summaries to a Slack channel for team visibility, and flagging time entries that exceed budget thresholds so project managers can intervene before costs blow out. For Australian consulting firms and agencies, accurate time tracking directly affects profitability. We have seen businesses lose billable hours simply because time data sits in one tool and invoicing happens in another. Our business automation team at Osher builds these kinds of time-to-invoice pipelines regularly. If you are running a services business and want to close the gap between time tracking and billing, our AI consulting team can help you map out the right workflow. We also offer system integration services to connect Clockify with your accounting and project management tools.
    Clockify Trigger consultants
  • Xero

    Xero

    Xero is a cloud accounting platform widely used across Australia and New Zealand for invoicing, bank reconciliation, payroll, expense tracking, and financial reporting. It has become the default accounting tool for small and mid-sized Australian businesses, with most accountants and bookkeepers supporting it directly. While Xero handles core accounting well, most organisations use it in isolation. Invoices are created manually, bank transactions are reconciled one by one, and financial data is exported to spreadsheets for reporting. This manual handling creates bottlenecks, delays financial visibility, and introduces errors that are difficult to trace back through the system. Our business automation team at Osher connects Xero to the rest of your business operations. We build workflows that automatically generate invoices when projects are completed or orders are fulfilled, reconcile bank transactions against expected payments, sync customer and supplier data between Xero and your CRM, and push real-time financial metrics into dashboards your leadership team actually checks. For organisations running e-commerce, we connect Xero to platforms like Shopify so every online sale is automatically recorded with the correct revenue account, GST treatment, and customer details. No manual data entry, no end-of-month scramble to match transactions.
    Xero consultants
  • UptimeRobot

    UptimeRobot

    UptimeRobot is a website monitoring service that checks whether your sites, APIs, and servers are online at regular intervals, typically every five minutes. When something goes down, it sends alerts via email, SMS, Slack, or webhooks so your team can respond quickly. It is widely used by development teams, agencies, and businesses that rely on web services being available around the clock. On its own, UptimeRobot tells you when something breaks. Connected to the rest of your infrastructure, it becomes the starting point for automated incident response. Osher Digital builds workflows that turn UptimeRobot alerts into structured incident management processes. A downtime alert can automatically create a ticket in your helpdesk, notify the on-call engineer via SMS and Slack, log the incident in a shared tracker, and even trigger preliminary diagnostic scripts. Beyond incident response, UptimeRobot data feeds into broader operational reporting. We build dashboards that correlate uptime metrics with deployment history, traffic patterns, and business KPIs so you can identify reliability trends and make informed infrastructure decisions. If downtime alerts currently land in an inbox where they get lost, or your team scrambles to coordinate a response every time something goes offline, our business automation services can turn those alerts into reliable, repeatable incident workflows.
    UptimeRobot consultants
  • One Simple API

    One Simple API

    One Simple API is a utility API service that bundles dozens of common web tasks into a single platform. It handles things like generating PDFs, taking website screenshots, sending emails, converting file formats, validating data, and performing lookups, all through straightforward API calls. Developers and businesses use it to avoid building and maintaining these utilities from scratch. Where One Simple API becomes especially valuable is as a component inside larger automation workflows. Osher Digital uses it to fill gaps in automation pipelines where a specific utility function is needed but a full standalone tool would be overkill. For example, an automated client onboarding workflow might use One Simple API to generate a welcome PDF, validate the client’s email address, and take a screenshot of their website for internal records, all as steps in a single process. Other common use cases include converting uploaded documents between formats as part of a data processing pipeline, generating QR codes for marketing campaigns, performing domain or IP lookups for security checks, and sending transactional emails from automated workflows without needing a dedicated email service provider. If your team keeps running into small technical tasks that slow down automation projects, our custom development services can build workflows that use One Simple API alongside your other tools to handle these tasks automatically.
    One Simple API consultants
  • Yourls

    Yourls

    YOURLS (Your Own URL Shortener) is a self-hosted URL shortening tool that gives organisations full control over their branded short links. Instead of using third-party services like Bitly where your link data sits on someone else’s servers, YOURLS runs on your own infrastructure with your own domain, giving you complete ownership of click analytics and link management. Branded short links matter more than most organisations realise. They improve click-through rates in emails and social media, provide detailed analytics on who clicks what, and eliminate the risk of a third-party service changing their pricing or shutting down. For businesses running marketing campaigns, partner referral programs, or internal resource sharing, owning your URL shortener is a practical decision. Our automated data processing team at Osher integrates YOURLS into marketing and analytics workflows. We build systems that automatically generate branded short links when new campaigns launch, track click data alongside your other marketing metrics, and route link analytics into dashboards where your team can see which content and channels are driving engagement. We also set up YOURLS with custom rules for different use cases: vanity URLs for print materials, campaign-tagged links for attribution tracking, and internal short links that only resolve within your corporate network for secure document sharing.
    Yourls consultants
  • Dropcontact

    Dropcontact

    Dropcontact is a B2B data enrichment tool that finds and verifies professional email addresses, phone numbers, and company details without relying on shared databases. Unlike tools that recycle contact data from a common pool, Dropcontact generates and validates information in real time using publicly available sources and proprietary algorithms. Sales and marketing teams use Dropcontact to fill gaps in their CRM data, clean up duplicate records, and ensure outreach campaigns reach valid email addresses. Bad contact data wastes campaign spend, damages sender reputation, and clutters your CRM with records that will never convert. At Osher, we integrate Dropcontact into automated data enrichment pipelines. A typical workflow pulls new leads from your CRM or lead capture forms, sends them through Dropcontact for enrichment and verification, then routes the cleaned data back into your systems with updated fields. Our sales automation team builds these pipelines to run continuously, so every new contact entering your database is automatically verified and enriched without anyone on your team lifting a finger. We also use Dropcontact for bulk CRM cleanup projects, processing existing databases to merge duplicates, fix formatting inconsistencies, and flag invalid email addresses before they cause deliverability problems.
    Dropcontact consultants
  • Snowflake

    Snowflake

    Snowflake is a cloud-based data warehousing platform that allows organisations to store, query, and share large volumes of structured and semi-structured data. It runs on AWS, Azure, and Google Cloud, offering elastic compute resources that scale independently from storage. Businesses use Snowflake to centralise data from multiple sources for analytics, reporting, and machine learning. The challenge most organisations face with Snowflake is getting data into and out of the warehouse efficiently. Raw data sits in SaaS tools, operational databases, and file systems across the business. Without automated pipelines, data engineers spend their time writing and maintaining ETL scripts rather than building analytical models. Downstream consumers (dashboards, reports, ML models) go stale when data loading falls behind. At Osher, we build and maintain the data pipelines that feed your Snowflake warehouse and deliver its outputs to the rest of your business. We connect your SaaS tools, databases, APIs, and file sources to Snowflake using n8n and purpose-built ETL workflows. We also build reverse ETL pipelines that push Snowflake query results back into operational tools like CRMs, email platforms, and dashboards. Our automated data processing team handles schema design, incremental loading, data quality checks, and pipeline monitoring so your warehouse stays accurate and your data team can focus on analysis rather than plumbing.
    Snowflake consultants
  • Cortex

    Cortex

    Cortex is an open-source platform for deploying, managing, and scaling machine learning models in production. It handles the infrastructure complexity of serving ML models as APIs, so data teams can focus on building rather than wrestling with Kubernetes configs and autoscaling policies. Organisations use Cortex when they need reliable, low-latency predictions from trained models without dedicating engineering resources to infrastructure management. Common use cases include real-time recommendation engines, fraud detection pipelines, and natural language processing services that need to scale with demand. At Osher, we connect Cortex deployments into broader automation workflows. A typical integration might route incoming data through preprocessing steps, send it to a Cortex-hosted model for inference, then push predictions into downstream systems like CRMs, dashboards, or alerting tools. Our AI agent development team builds these end-to-end pipelines so your ML models actually deliver business value rather than sitting idle in a notebook. We handle the full setup: configuring model endpoints, setting up monitoring for prediction drift, and building the data plumbing that connects your models to the rest of your tech stack.
    Cortex consultants
  • AWS DynamoDB

    AWS DynamoDB

    AWS DynamoDB is a fully managed NoSQL database service from Amazon Web Services. It handles key-value and document data at any scale with single-digit millisecond response times. Businesses use DynamoDB for applications that require consistent performance under high throughput, including e-commerce catalogues, gaming leaderboards, IoT sensor data, and user session storage. The challenge most organisations face with DynamoDB is not the database itself but connecting it to the rest of their business systems. Data sitting in DynamoDB tables often needs to flow into reporting dashboards, CRM platforms, notification systems, or other databases. Without proper integration, teams end up writing custom Lambda functions or manual export scripts that become difficult to maintain. At Osher, we build automated pipelines that connect DynamoDB to your other tools and platforms. Using n8n and AWS-native services, we set up workflows that read from and write to DynamoDB tables, react to DynamoDB Streams events in real time, and sync data across your technology stack. Our automated data processing team designs these pipelines to handle error recovery, data transformation, and throughput management so your DynamoDB integrations run reliably without constant engineering attention.
    AWS DynamoDB consultants
  • Google Analytics

    Google Analytics

    Google Analytics is the most widely used web analytics platform, tracking how visitors find and interact with your website. It provides data on traffic sources, user behaviour, conversion rates, page performance, and audience demographics. Most businesses have Google Analytics installed but only scratch the surface of what the data can tell them. The real value of Google Analytics comes when its data flows into your other business systems. Marketing teams need analytics data in their reporting dashboards without manually exporting CSVs. Sales teams benefit from knowing which pages a lead visited before filling out a contact form. Operations teams can trigger alerts when traffic patterns suggest a problem, such as a sudden drop in conversions or a spike in bounce rates on a key landing page. At Osher, we connect Google Analytics to your business workflows so the data works for you automatically. We build integrations that pull GA4 data into your CRM, trigger Slack alerts based on traffic anomalies, populate custom dashboards, and feed analytics into lead scoring models. Our sales automation team specialises in connecting analytics data to your revenue pipeline so you can see which marketing activities actually drive qualified leads and closed deals, not just pageviews.
    Google Analytics consultants
  • Coda

    Coda

    Coda is a collaborative document platform that combines the functionality of documents, spreadsheets, and lightweight applications into a single tool. Teams use Coda to build project trackers, meeting notes systems, product roadmaps, and internal wikis that go beyond what Google Docs or Notion can do with their built-in formula language and automation features. Where Coda becomes particularly useful is when it serves as the central hub that multiple business tools feed into. Rather than checking Jira for engineering updates, Salesforce for deal progress, and Google Sheets for financial data, teams can pull all of that into a single Coda doc that updates automatically. The problem is that setting up these connections properly requires API knowledge and workflow design that most teams do not have in-house. At Osher, we build Coda integrations that turn your docs into live operational dashboards. We connect Coda to your CRM, project management tools, databases, and communication platforms so data flows in and out without manual copying. Whether you need a client-facing project tracker that updates from your internal systems or an executive dashboard that pulls KPIs from multiple sources, our n8n consulting team builds the automation layer that keeps your Coda docs accurate and current.
    Coda consultants
  • SeaTable

    SeaTable

    SeaTable is a self-hostable database platform that combines the simplicity of a spreadsheet with the structure of a relational database. The n8n SeaTable node lets you automate data operations — creating rows, updating records, querying data, and syncing SeaTable bases with other business systems — all without manually exporting and importing CSV files. Teams use SeaTable through n8n when they need a structured data backend that is more powerful than Google Sheets but lighter than a full SQL database. Project trackers, asset registries, CRM pipelines, content calendars, and inventory lists all work well in SeaTable. The n8n integration makes these bases reactive — when a new row is added, when a status field changes, or on a schedule, workflows fire to keep everything connected. Osher sets up automated data processing workflows that treat SeaTable as both a data source and a destination. A common pattern we build is a multi-step intake pipeline: form submissions land in SeaTable, an n8n workflow enriches the data (running validation, geocoding addresses, classifying enquiry types), and then routes the processed record to the appropriate team or system. Because SeaTable supports rich column types like files, images, links, and formulas, it serves well as a lightweight operational database. The n8n node supports creating, reading, updating, and deleting rows in any SeaTable table. It works with all column types and supports SeaTable’s SQL-like query language for fetching filtered datasets. The SeaTable Trigger node can start workflows when rows are created or modified, giving you event-driven automation without polling delays.
    SeaTable consultants
  • Phantombuster

    Phantombuster

    Phantombuster is a cloud-based data extraction and automation platform focused on social media and professional networks. It provides pre-built scrapers (called Phantoms) for LinkedIn, Instagram, Twitter, Google Maps, and other platforms, letting you extract profile data, company information, search results, and engagement metrics without building custom scrapers from scratch. Sales and marketing teams use Phantombuster through n8n to build prospecting and lead enrichment pipelines. A typical workflow scrapes LinkedIn Sales Navigator search results through Phantombuster, feeds the extracted contact data into n8n for cleaning and deduplication, enriches records with email addresses from a verification service, and loads qualified leads into a CRM with the right tags and assignments — all running on autopilot. Osher integrates Phantombuster into sales automation workflows for clients who need structured data from public web sources. We connect Phantombuster’s output to CRM systems, email outreach tools, and enrichment services through n8n, building complete prospecting pipelines that turn raw scraped data into actionable, qualified leads. The key is building in proper data validation and deduplication so your CRM stays clean. The n8n integration works through Phantombuster’s REST API. You can launch Phantoms (scrapers), retrieve results, check execution status, and manage your Phantombuster agents — all from within an n8n workflow. Combined with n8n’s scheduling and data transformation capabilities, this gives you fine-grained control over when and how data extraction runs, and what happens to the results.
    Phantombuster consultants
  • Redis Trigger

    Redis Trigger

    Redis Trigger is an event-driven mechanism that fires automation workflows whenever data changes in a Redis database. Redis is an in-memory data store used by engineering teams for caching, session management, message brokering, and real-time data processing. The trigger functionality allows external systems to react instantly when keys are set, updated, expired, or deleted in Redis. Businesses running Redis as part of their application infrastructure benefit from trigger-based automation because it removes the need for constant polling. Instead of checking Redis every few seconds for changes, a trigger-based approach pushes events to your workflow engine the moment something happens. This is critical for use cases like real-time inventory updates, session expiration handling, and cache invalidation across distributed systems. At Osher, we configure Redis Trigger nodes within n8n and custom integration pipelines to connect your Redis events to downstream business processes. Whether you need to update a dashboard when cached data changes, send an alert when a session expires, or sync Redis state with your primary database, we build the connections that make it work reliably. Our system integrations team handles the configuration, error handling, and monitoring so your engineering team can focus on building product features rather than maintaining glue code.
    Redis Trigger consultants
  • Customer Datastore (n8n training)

    Customer Datastore (n8n training)

    Customer Datastore is a built-in n8n training node that provides sample customer data for learning and prototyping workflows. It ships with every n8n installation and outputs a small dataset of fictional customer records — names, emails, and basic attributes — so you can practice building workflows without needing to connect a real database or API first. People new to n8n use this node as a starting point for learning how data flows between nodes. Instead of setting up a database connection or API credentials just to test a concept, you drop in the Customer Datastore node and immediately have structured data to work with. It is particularly useful for trying out data transformation nodes, conditional logic, loops, and output formatting before applying those patterns to production systems. At Osher, we use the Customer Datastore node during n8n consulting sessions and training workshops. When we are showing a client how to build a lead routing workflow or a customer notification system, we start with this node so the focus stays on the automation logic rather than credential setup. Once the workflow pattern is proven, we swap the Customer Datastore for real data sources like CRMs, databases, or API endpoints. The node requires no configuration or credentials. It simply outputs a predefined set of customer records that you can filter, transform, and route through your workflow. Think of it as sample data that is always available — useful for prototyping, demonstrating concepts, and testing node configurations before going live.
    Customer Datastore (n8n training) consultants
  • Shopify

    Shopify

    Shopify is an e-commerce platform that powers online stores for businesses of all sizes. As an automation node, it allows workflows to read and write store data including orders, customers, products, inventory levels, fulfilment records, and collections through Shopify’s Admin API, turning your store into a fully programmable part of your business operations. E-commerce managers, operations teams, and multi-channel retailers use the Shopify integration to automate store management tasks that consume hours of staff time each week. Instead of logging into the Shopify admin panel to update products, process orders, or reconcile inventory, these operations execute automatically as part of broader business workflows that keep all your systems in sync. Osher builds Shopify automation workflows that connect your store data to every other system in your business. Our system integrations team creates flows where product data syncs across all your sales channels, orders route directly to fulfilment and accounting systems, customer records update in your CRM as purchases occur, and inventory levels stay accurate across every platform without manual reconciliation or spreadsheet exports.
    Shopify consultants
  • NASA

    NASA

    NASA provides free public APIs that deliver space and earth science data including the Astronomy Picture of the Day, Mars rover photographs, near-Earth asteroid tracking, satellite imagery, and solar weather monitoring data. As an automation node, it allows workflows to pull structured scientific data from NASA’s open data sources directly into your pipeline without building custom API connections or writing code. Education platforms, science communicators, data journalists, research teams, and content creators use the NASA integration to automate the collection and distribution of space and earth science data. Instead of manually downloading images from NASA’s website or checking datasets by hand, the data flows automatically into content pipelines, dashboards, notification systems, and social media schedulers. Osher integrates NASA data feeds into automated content and alerting workflows using n8n. Our automated data processing team builds systems that pull daily astronomy imagery for social media scheduling, track near-Earth objects for monitoring dashboards, and combine satellite observation data with other sources for environmental reporting and analysis workflows.
    NASA consultants
  • Kafka

    Kafka

    Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and event-driven applications at scale. As an automation node, it allows workflows to produce messages to Kafka topics and consume messages from them, connecting your visual automation platform to high-throughput streaming data infrastructure without writing consumer or producer code from scratch. Engineering teams, data platform operators, and organisations with event-driven architectures use the Kafka integration to bridge their streaming data infrastructure with business automation workflows. Instead of building custom consumer applications for every downstream action that needs to respond to Kafka events, the events trigger automated processing through a visual workflow builder that non-developers can maintain. Osher integrates Kafka into enterprise automation architectures where high-volume, real-time data processing is a core requirement. Our n8n consulting team builds workflows that consume Kafka events for order processing, IoT sensor data routing, log analysis alerting, and real-time data synchronisation between systems that would otherwise require months of custom application development.
    Kafka consultants
  • AWS SNS Trigger

    AWS SNS Trigger

    AWS SNS Trigger is an n8n node that starts workflows automatically when messages arrive on an Amazon Simple Notification Service (SNS) topic. It acts as a webhook subscriber, letting your automations react to events published across AWS infrastructure — from CloudWatch alarms and S3 bucket changes to custom application alerts — without polling or manual checks. Teams running workloads on AWS use this trigger to wire real-time notifications into downstream systems. When a production server throws an error, a pipeline finishes processing, or a billing threshold is crossed, the SNS Trigger fires and your n8n workflow takes over: routing alerts to Slack, creating tickets in Jira, updating dashboards, or escalating to on-call staff based on severity. At Osher, we help organisations connect AWS event streams to their business tools through system integrations that actually hold up under load. A typical setup involves subscribing an n8n webhook to one or more SNS topics, filtering messages by attribute, and routing them to the right team or system. Because n8n handles the subscription confirmation handshake automatically, there is no fiddly manual setup — just point SNS at your workflow URL and you are running. Common use cases include infrastructure monitoring (CloudWatch alarm to PagerDuty), data pipeline orchestration (S3 event to processing workflow), and cross-account event routing. The trigger supports standard and FIFO topics, message filtering by attributes, and raw message delivery for full payload access.
    AWS SNS Trigger consultants
  • Google BigQuery

    Google BigQuery

    Google BigQuery is a serverless, highly scalable data warehouse built on Google Cloud. It enables SQL-based analysis of massive datasets — from gigabytes to petabytes — without managing infrastructure. BigQuery handles the compute resources automatically, so queries across billions of rows return results in seconds rather than hours. Data analysts, business intelligence teams, marketing analysts, and finance departments use BigQuery to centralise data from multiple sources and run complex analytical queries. Common use cases include combining Google Analytics data with CRM records, building revenue dashboards, analysing customer behaviour across touchpoints, running cohort analyses, and generating reports that would be too slow or impossible in a spreadsheet. At Osher, we connect BigQuery to your operational workflows so analytical insights translate into action. We build pipelines that load data from your CRM, advertising platforms, payment systems, and operational tools into BigQuery for unified analysis. Then we connect BigQuery outputs back to your business systems — query results can feed automated reports, trigger alerts when KPIs shift, update dashboards in real time, or push insights into your CRM for sales team action. Our AI consulting team also builds machine learning models that run directly on BigQuery data using BigQuery ML, enabling predictive analytics like churn scoring and demand forecasting without moving data out of your warehouse.
    Google BigQuery consultants
  • Microsoft Excel 365

    Microsoft Excel 365

    Microsoft Excel 365 is a cloud-based spreadsheet platform that connects to automation workflows through its REST API. As an integration node, it allows workflows to read, write, update, and delete rows in Excel workbooks stored on OneDrive or SharePoint, turning your spreadsheets into live data sources rather than static files that sit untouched between manual updates. Finance teams, operations managers, and analysts who rely on Excel for reporting, tracking, and data collection use this integration to stop manual data entry. Instead of downloading reports, updating cells by hand, and re-uploading files every week, the data moves automatically between Excel and your other business systems on whatever schedule you define. Osher builds Excel 365 integrations that connect your existing spreadsheets to CRMs, accounting platforms, project management tools, and internal databases. Our automated data processing workflows pull data from Excel for transformation, push processed results back into formatted workbooks, and keep shared spreadsheets synchronised across your entire organisation without anyone opening a file to copy and paste values manually.
    Microsoft Excel 365 consultants
  • CoinGecko

    CoinGecko

    CoinGecko is a cryptocurrency data aggregator that provides real-time and historical pricing, market capitalisation, trading volume, and exchange data for thousands of digital assets. As an integration node, it allows automation workflows to pull structured crypto market data directly into your pipeline without building custom API connections or writing any code. Crypto traders, portfolio managers, DeFi operators, and fintech companies use the CoinGecko integration to feed accurate market data into dashboards, alerting systems, reporting tools, and trading workflows. Instead of manually checking prices across multiple exchanges or building scrapers that break when APIs change, the data arrives structured and ready for processing. Osher connects CoinGecko data feeds into automated reporting and alerting workflows using n8n. Our custom AI development team builds systems that combine CoinGecko market data with AI-driven analysis to generate portfolio summaries, trigger price alerts across multiple communication channels, and feed real-time pricing into financial models and dashboards without any manual data gathering or spreadsheet updates.
    CoinGecko consultants
  • Kafka Trigger

    Kafka Trigger

    Apache Kafka Trigger is an event-driven connector that listens for messages on Kafka topics and initiates workflows when new data arrives. Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant data pipelines, processing millions of events per second across distributed systems. Engineering teams, data platform operators, and enterprises with real-time data requirements use Kafka to move data between microservices, feed analytics pipelines, and power event-driven architectures. Industries like financial services, logistics, telecommunications, and e-commerce rely on Kafka for use cases where data must flow continuously and reliably between systems. At Osher, we integrate Kafka triggers into business automation workflows so that streaming data can drive operational actions without custom code. When a Kafka topic receives a new message — a transaction event, sensor reading, inventory update, or user activity log — our automations pick it up and route it to the right destination. This might mean writing processed data to a database, sending alerts to operations teams, updating a dashboard, or triggering a downstream API call. Our custom AI development team also builds intelligent consumers that apply machine learning models to Kafka streams, enabling real-time scoring, classification, and anomaly detection on your event data as it flows through.
    Kafka Trigger consultants
  • Elasticsearch

    Elasticsearch

    Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It stores, indexes, and queries large volumes of structured and unstructured data with sub-second response times. Beyond full-text search, Elasticsearch powers log analytics, application performance monitoring, security event analysis, and business intelligence dashboards. Engineering teams, DevOps engineers, data analysts, and security operations teams use Elasticsearch as the backbone for search-driven applications and observability platforms. Common deployments include website search bars, product catalogue search, centralised log management (often as part of the ELK stack), and real-time monitoring dashboards that track system health and business metrics. At Osher, we connect Elasticsearch to business automation workflows so your indexed data can drive operational actions. When Elasticsearch detects a spike in error logs, our automations can page the on-call engineer, create a Jira ticket, and post details to a Slack channel. When product search analytics reveal trending queries, we can update your CRM or marketing tools with those insights. We also build workflows that feed data into Elasticsearch from multiple business systems, creating a unified search layer across your CRM, support tickets, documents, and product catalogue. Our automated data processing team handles the full pipeline — ingesting data into Elasticsearch, building queries, and connecting search results to downstream business actions.
    Elasticsearch consultants
  • Google Cloud Firestore

    Google Cloud Firestore

    Google Cloud Firestore is a flexible, scalable NoSQL document database built on Google Cloud infrastructure. It stores data in documents organised into collections, with real-time synchronisation across connected clients and offline support for mobile and web applications. Development teams and product companies use Firestore to power user-facing applications that need low-latency reads and writes at scale. Common use cases include storing user profiles, managing application state, tracking orders, and syncing data across devices without building custom backend infrastructure. At Osher, we connect Firestore to business workflows through automation platforms like n8n. This means Firestore events — new documents, updates, deletions — can trigger downstream processes automatically. For example, when a new customer record lands in Firestore, our automations can push that data into your CRM, send a welcome email sequence, or update a reporting dashboard. We also build reverse flows where form submissions or payment confirmations write directly back to Firestore collections. Our system integrations team handles the full pipeline from Firestore to your existing business tools, so your application data stays connected without manual exports or copy-paste workflows.
    Google Cloud Firestore consultants
  • Reddit

    Reddit

    Reddit is a social platform organised into topic-specific communities called subreddits, where users share links, text posts, images, and discussions. With over 100,000 active communities, it serves as a real-time source of consumer opinions, product feedback, industry discussions, and trending topics across virtually every niche. Marketing teams, product managers, and customer support departments use Reddit monitoring to track brand mentions, identify customer pain points, gather competitive intelligence, and spot emerging trends before they hit mainstream channels. The platform’s upvote system naturally surfaces the most relevant content within each community. At Osher, we build automations that pull Reddit data into your existing business workflows. This includes monitoring specific subreddits for brand mentions or keywords, collecting post and comment data for sentiment analysis, and triggering alerts when relevant discussions appear. For example, we can set up a workflow that watches industry subreddits for questions about your product category and routes those posts to your sales or support team in Slack or email. Our sales automation services connect Reddit signals directly to your outreach workflows, so your team can respond to potential customers while conversations are still active.
    Reddit consultants
  • Mailchimp

    Mailchimp

    Mailchimp is an email marketing platform used by businesses to create, send, and track email campaigns, automated sequences, and audience segmentation. It provides tools for designing newsletters, managing subscriber lists, running A/B tests, and analysing campaign performance through open rates, click rates, and revenue attribution. Small and mid-sized businesses, e-commerce stores, and marketing teams rely on Mailchimp to stay in touch with customers and prospects. Common use cases include welcome email sequences, promotional campaigns, abandoned cart reminders, and regular newsletter distribution to segmented audiences. At Osher, we connect Mailchimp to your broader business systems so email marketing works as part of a unified workflow rather than a standalone silo. We build automations that sync subscriber data between Mailchimp and your CRM, trigger email sequences based on events from other platforms (form submissions, purchases, support tickets), and push campaign analytics into centralised dashboards. For instance, when a lead fills out a form on your website, our automation can add them to the right Mailchimp audience segment, tag them based on their enquiry type, and kick off a targeted nurture sequence — all without manual data entry. Our business automation team builds these workflows to eliminate the repetitive tasks that slow down your marketing operations.
    Mailchimp consultants
  • Compare Datasets

    Compare Datasets

    Compare Datasets is a workflow node that takes two sets of data and identifies the differences between them. It compares records field by field and outputs three groups: items that exist only in the first dataset, items that exist only in the second dataset, and items that exist in both but have different values. Data teams, operations managers, and finance departments use it to catch discrepancies between systems without manually cross-referencing spreadsheets. Common use cases include reconciling CRM records against billing system data, identifying new or removed products between catalogue versions, detecting changes in employee records across HR systems, and verifying that data migrations transferred all records correctly. Any time you need to answer the question “what changed between these two sets of data?”, this node handles it programmatically. Osher uses Compare Datasets as a core component in automated data processing workflows that keep multiple systems in sync. We build reconciliation pipelines that pull data from two or more sources, compare them automatically, and take action on the differences: creating missing records, flagging discrepancies for review, or updating stale data. This replaces the manual spreadsheet comparisons that consume hours of your team’s time every week. See how we applied similar data reconciliation techniques in our BOM weather data pipeline project.
    Compare Datasets consultants
  • RabbitMQ

    RabbitMQ

    RabbitMQ is an open-source message broker that sits between services in your software architecture and handles the reliable delivery of messages between them. Instead of Service A calling Service B directly (and failing if B is down or overloaded), Service A publishes a message to RabbitMQ, and Service B consumes it when ready. This decoupling makes systems more resilient, scalable, and easier to maintain. RabbitMQ supports the AMQP protocol and offers features like message persistence, routing, dead-letter queues, and clustering for high availability. The n8n RabbitMQ node lets workflows publish messages to RabbitMQ queues and consume messages from them. This is valuable when n8n is part of a larger microservices architecture — it can consume messages published by other services (e.g., a new order event from your e-commerce platform) and trigger automations, or it can publish messages that other services pick up (e.g., sending a processed data payload to a downstream service for further handling). At Osher, we use RabbitMQ with n8n for clients who have event-driven architectures or need reliable message delivery between systems that process data at different speeds. If your backend services need to communicate reliably without tight coupling, or if you need n8n to process events from a message queue rather than polling APIs, our system integration services can architect and implement the RabbitMQ layer that ties everything together.
    RabbitMQ consultants
  • Supabase

    Supabase

    Supabase is an open-source backend platform that provides a PostgreSQL database, authentication, real-time subscriptions, and file storage through a single API. Developers and product teams use it as a faster alternative to building backend infrastructure from scratch, while retaining full control over their data. The Supabase node lets you read, write, update, and delete database records directly from your automation workflows. Typical automation use cases include syncing form submissions into Supabase tables, pushing CRM updates into a centralised database, triggering workflows when new rows appear, and backing up data from third-party APIs into structured storage. Startups and mid-size companies often use Supabase as their application database, which makes it a natural integration point for connecting frontend apps with backend automation logic. Osher builds custom AI and automation solutions that use Supabase as the data layer. We connect your Supabase tables to workflow engines, AI processing pipelines, and business applications so your data moves where it needs to go without manual exports or fragile scripts. Whether you need real-time data syncing, automated record management, or AI-powered processing of your database contents, we design systems that treat your Supabase instance as a living, connected part of your tech stack.
    Supabase consultants
  • MQTT

    MQTT

    MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for devices with limited processing power and networks with constrained bandwidth. It uses a publish-subscribe model: devices publish messages to a topic on a central broker, and any client subscribed to that topic receives the message. MQTT runs over TCP/IP and is the dominant protocol for IoT (Internet of Things) communication, used in everything from factory sensor networks to smart building systems. The n8n MQTT node allows workflows to subscribe to MQTT topics and trigger automations when messages arrive, or publish messages to topics as part of a workflow. This makes it possible to connect IoT device data to business systems — for example, reading temperature sensor data from a warehouse and triggering an alert in Slack, or receiving machine status updates from factory equipment and logging them to a database for reporting. At Osher, we use the MQTT node in n8n to bridge the gap between operational technology (sensors, PLCs, edge devices) and business systems (databases, dashboards, notification channels). If your business collects data from physical devices and you are manually exporting or checking it, our system integration services can connect those data streams directly into your workflows so the information reaches the right people and systems in real time.
    MQTT consultants

  • Read Binary Files

    The Read Binary Files node in n8n reads files from the local filesystem in binary format — images, PDFs, spreadsheets, ZIP archives, or any other file type — and passes the binary data into the workflow for processing by subsequent nodes. It is the starting point for any n8n workflow that needs to work with files stored on the server rather than files received via API or webhook. Common use cases include reading invoice PDFs for data extraction, loading image files for processing or upload to another service, picking up CSV exports dropped into a folder by a legacy system, and reading configuration files needed by other workflow steps. The node supports wildcard patterns to read multiple files at once and can be combined with a schedule trigger to poll a directory for new files on a regular interval. At Osher, we use the Read Binary Files node as part of file processing pipelines built in n8n. A typical build might watch a shared folder for new documents, read them with this node, extract text using AI or OCR, classify the document type, and route the extracted data to the right system — a CRM, accounting package, or database. If your team is manually downloading, opening, and re-entering data from files, our automated data processing services can replace that manual work with an n8n pipeline that handles it automatically.
    Read Binary Files consultants
  • Facebook Graph API

    Facebook Graph API

    The Facebook Graph API node in n8n lets you interact with Facebook and Instagram programmatically — reading page insights, publishing posts, managing ad campaigns, and pulling engagement data into your automation workflows. The Graph API is Facebook’s primary developer interface, and the n8n node wraps it so you can use it without writing custom API code. The practical problem this solves is the gap between your social media activity and your business systems. Marketing teams post content, run ads, and respond to comments inside Facebook’s own tools, but the data from those activities rarely flows into the CRM, the reporting dashboard, or the sales pipeline automatically. The Facebook Graph API node in n8n bridges that gap by pulling engagement data, ad performance metrics, and audience insights into workflows that feed your other tools. At Osher Digital, we use the Facebook Graph API node when building sales automation and marketing data pipelines for Australian businesses. Common setups include pulling daily ad spend and conversion data into reporting dashboards, syncing Facebook lead form submissions into CRMs in real time, and automating social media posting schedules from a content calendar. If your marketing team is manually exporting data from Facebook Business Manager and re-entering it elsewhere, this node eliminates that work.
    Facebook Graph API consultants
  • NocoDB

    NocoDB

    NocoDB is an open-source platform that turns any SQL database (MySQL, PostgreSQL, SQL Server, SQLite) into a spreadsheet-like interface with a REST API. Think of it as a self-hosted alternative to Airtable. The n8n NocoDB node lets you create, read, update, and delete records in NocoDB tables directly from your automation workflows, giving you a flexible data layer that non-technical team members can view and edit through a familiar spreadsheet interface while your automations work with the same data through the API. The problem NocoDB solves is the gap between developers who want proper databases and business users who want spreadsheets. Instead of building a custom admin panel every time someone needs to view or edit data, you point NocoDB at your database and it generates a usable interface automatically. The n8n node then lets your automations read and write to those same tables, so you have one source of truth that both humans and machines can work with. At Osher Digital, we use NocoDB as the data backbone in many of the business automation systems we build for clients. It works particularly well as a lightweight CRM, a project tracker, an inventory database, or a content management system — anywhere you need structured data that both your team and your n8n workflows need to access. Because NocoDB is self-hosted, your data stays on your infrastructure, which matters for Australian businesses with data sovereignty requirements.
    NocoDB consultants
  • Spotify

    Spotify

    The Spotify node in n8n lets you interact with the Spotify Web API to retrieve track, album, artist, and playlist data, manage playlists, and pull listening analytics. If you run a business that involves music — retail environments, hospitality venues, fitness studios, event companies, or media agencies — this node connects Spotify’s catalogue and playlist management to your automation workflows. The practical problem this node solves is manual playlist and music data management. If your marketing team tracks trending songs for social content, if your venues need playlists updated based on time of day or day of week, or if you need to pull listening data for reporting, doing that manually through Spotify’s app is tedious and inconsistent. The n8n Spotify node automates those tasks so they run on schedule without human intervention. At Osher Digital, we use the Spotify node in business automation workflows for clients who manage music as part of their business operations. Use cases include automatically updating venue playlists based on scheduling rules, pulling artist and track data for media reporting, syncing playlist contents with content management systems, and building music recommendation feeds for apps or websites. If music data or playlist management is part of your workflow, we connect it to the rest of your systems through n8n.
    Spotify consultants
  • MQTT Trigger

    MQTT Trigger

    MQTT Trigger is an n8n node that starts a workflow whenever a message arrives on a specific MQTT topic. MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol built for IoT devices, sensors, and machine-to-machine communication. If you have temperature sensors, GPS trackers, industrial equipment, or smart building systems publishing data over MQTT, this trigger node lets n8n listen for those messages and act on them automatically. The practical problem MQTT Trigger solves is connecting IoT and operational technology (OT) data to your business systems. Your sensors might be publishing readings every few seconds, but that data is useless sitting on an MQTT broker. The MQTT Trigger node in n8n picks up those messages and routes them into databases, dashboards, alerting systems, or AI models for analysis — turning raw device data into actionable business intelligence. At Osher Digital, we use the MQTT Trigger node when building system integrations that bridge the gap between physical infrastructure and business software. This includes monitoring environmental sensors for compliance reporting, tracking asset locations in real time, and triggering maintenance workflows when equipment readings fall outside normal ranges. If your organisation has IoT devices generating data that nobody is acting on, this is where we start.
    MQTT Trigger consultants