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Google Analytics 4 (GA4) introduces several new features that offer powerful insights into user behaviour. One of the most significant changes is the event-driven data model, which tracks every interaction a user has with your website or app, providing a more complete view of the user journey.
When you have disparate systems such as databases and data sources that don’t talk to each other, system integration is the solution. Bespoke code, APIS and custom programmes will successfully combine the systems into one central hub to provide easily accessible, reliable and accurate information.
The 6 important components of Microsoft Power Apps: choosing the best version, the data sources, the interface and more – and seeking expert app developer help to get started.
Technical Guide: Comparing the Azure SQL Database with Azure Synapse Analytics, differences and pros/ cons of each solution to help you decide.
The advances in technology such as AI (Artificial Intelligence) and Machine Learning has helped businesses improve their service and productivity by automating many tasks and procedures. Here’s how you can achieve success…
While AI is the umbrella term given for machines emulating human abilities, machine learning is a specific branch of AI where machines are trained to learn how to process and make use of data.
Find out the uses, and how machine learning works in this guide.
SSO stands for ‘single sign in’ which – as its name suggests – is a facility whereby users can sign in (or login) just once by using a single password and other login details to access an entire system and its parts such as an app, portal, or specific database.
Efficient marketing intelligence answers questions relating to existing and potential customers in terms of buying habits and their tastes to help inform decisions as to what markets the business should consider entering next, and how best to serve possible changing customer requirements.
Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The magic happens by reaching beyond knowing what has happened to providing a best assessment of what will happen in the future.
Your Ticket to Efficiency: Rather than using your in house development team for every software or analytics project, or recruiting a developer and needing a sufficient stream of work to keep them 100% engaged; collaborating with a software partner offering flexible development resource is worth considering…
Wherever your organisation sits on its digital roadmap, progress is always ahead. Here we focus on the Manufacturing sector to provide examples, although these digital principles could well be applied and interpreted by any industry.
Data science consulting services and software, such as predictive analytics modelling, machine learning and bespoke tools can help you grow your sales, enhance operational efficiency and help govern risks effectively.