World of Data

Getting Stat Savvy

Statistics is a science of dealing with uncertain phenomenon and events, and the methodology for collecting, analysing…

data architecture

An enterprise’s architecture has many interrelated pieces — Applications, Infrastructure, Network, Business Processes and most…

Data Strategy

The failure of business intelligence, big data and data management projects are commonplace. World wide web is ubiquitous with case…

data governance simplified

The dictionary meaning of the word Governance is “The action or manner of governing a state, organisation, etc”.

Big Data → Smart Data

Big Data in a way meant and secretly pointed to “All Data” (Structured, Semi-structured or Unstructured). Data that is…

Data Literacy Quotient — UP

Because sometimes all you need is a short and simple explanation to get your head around new trendy terms or…

Art of Dashboarding

Dashboards are commonly used in business intelligence contexts to show regularly updated information that demands…

Data Quality

According to report by KPMG “2016 Global CEO Outlook,” 84% of CEOs are concerned about the quality of the data they’re basing their…

Tell a data-tale

Storytelling is an ancient art of communication. Humans have used stories as the most powerful delivery tool to convey social…

Every image tells a story — Data Visualisation

Data age — In a war of Verbalisation (To remember using words) vs Visualisation (To remember using Images/Pictures). Visualisation seems to be an emerging winner with clear advantage of how human brain process information. Human brain understand…

Data Calling

Data is the new oil, Data is the new bacon, Data is NEW THIS or THAT etc.

metadata management

According to a report published by IDC “Metadata is one of the fastest-growing sub-segments of enterprise data management.”

Metadata is central component to the success of many of data management practices such as Data Governance, Master Data Management, Business…

Call me Al(Algorithm)

Before there were computers and analytics, there were algorithms. Today they all go hand in hand, to the extent that it’s hard to imagine the world of computers n analytics without algorithms.