Operational analytics involves processing and analysing operational data in “real-time” to gain insights that inform immediate and actionable decisions.
Operational Analytics: Real-Time Insights That Matter Read More »
Many data teams aren’t aware of the concept of Total Ownership Cost or its importance. Getting it right in planning will save you a massive headache later.
Deciphering the True Cost of Your Data Investment Read More »
In the modern days of GenAI and advanced analytics, businesses need to bring domain expertise and data knowledge together in an effective manner.
When Data Science Meets Domain Expertise Read More »
Data must be fresh, i.e. readily available, relevant, trustworthy, and current to be of any practical use. Otherwise, it loses its value.
Keeping it Fresh: Don’t Let Your Data Go to Waste Read More »
Most companies spend the vast majority of their resources doing data wrangling in a predominantly manual way. This is very costly and inhibits data analytics.
Behind Every Analysis Lies Great Data Wrangling Read More »
Data architecture is a critical component of modern business strategy, enabling organisations to leverage their data assets effectively.
Data Architecture: The Forever Quest for Data Perfection Read More »
While the benefits of GenAI are promising, the path to adopting such technologies is not straightforward at all.
Mind the Gap: Bridging GenAI Promise and Practice Read More »
Data automation is a critical enabler of efficiency, accuracy, and strategic insight. It also considerably lowers your business cost when producing said insight
Data Automation: Investing Pennies to Save Pounds Read More »