With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisations could handle data and extract insights out of it, without the presence of an analytics platform. The importance of enterprise analytics platforms has grown over time, to such an extent that they are … [Read more...] about Why Organisations Nowadays Want an Analytics Platform
Data analytics
How ad-hoc analysis has become the fast food of BI
The ad hoc promise In a world where businesses live or die on data, self-serve BI is the information super-food we've been waiting for. Or so the rhetoric around this popular tool would have us believe. Also known as data exploration, exploratory data analysis, data discovery and ad hoc reporting, self-serve BI has many names, but one big promise: to radically reduce the time … [Read more...] about How ad-hoc analysis has become the fast food of BI
Big Data LDN 2018
Big Data LDN is the UK's largest free to attend data and analytics conference & exhibition and will take place on 13-14 November 2018 at Olympia London. The event is essential for those wanting to build a bright data-driven future for their business. Big Data LDN has hosted leading, global data and analytics experts, arming attendees with the tools to deliver their most … [Read more...] about Big Data LDN 2018
The How and Why of ID Unification
Identifier (ID) Unification is one of the key data fusion problems to be solved when integrating data from multiple data sources. In the context of enterprises, building a 360 degree view of your customers is a key need. Data from internal sources (first party), external data brokers (third party), various kinds of partners (second party) and open, public sources needs to fused … [Read more...] about The How and Why of ID Unification
Understanding Data Fusion: The Challenges and A Way Forward
Data fusion, the art of merging information from multiple sources to create sophisticated models, presents significant potential benefits for a range of industries. This is a fundamental problem in many domains as one tries to bootstrap a data economy. Bringing together heterogeneous datasets, however, poses several conceptual and technical questions, particularly when … [Read more...] about Understanding Data Fusion: The Challenges and A Way Forward
