Data – The Good the Bad and the Ugly
What makes good and bad data in terms of gathering, maintaining, and using, and the drawbacks to your business of data that fails to provide useful and actionable insights.
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Category:
Data Analytics
Introduction to Google Analytics 4
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.
The 6 Major Components of Power Apps
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.
Could an Azure SQL Database be used as a Cloud Warehouse?
Technical Guide: Comparing the Azure SQL Database with Azure Synapse Analytics, differences and pros/ cons of each solution to help you decide.
The Goals of Automation, How You Can Achieve Success
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…
A Complete Guide to Machine Learning
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.
A Complete Guide to Marketing Intelligence
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.
The Magic Behind Predictive Analysis
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.
Digital Transformation – Manufacturing sector
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.
What Does Data Science Consultancy Offer?
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.
Creating a Data Driven Business Strategy
A coherent data strategy that supports your objectives will take time to develop and implement. It’s a process that can be enhanced with help from technical experts offering data strategy consultancy.
Start Your Data Discovery
Discover the secrets held in your data to enhance customer retention, increase sales opportunities and understand your business.
Data discovery is an analytical approach to query and explore your data, to understand patterns and help you see a clearer picture.