“We can’t solve problems by using the same kind of thinking we used when we created them.” – The famous quote attributed to Albert Einstein applies as much to Business Intelligence & Analytics as it does to other things. Many organizations that turn to BI&A for help on strategic business concerns such as increasing customer [...]
From the category archives:
Business Intelligence – A Practitioner’s View
The term Business Intelligence was first coined by IBM researcher Hans Luhn (in the IBM Journal of Research and Development, October 1958) and then used in its modern sense in 1989 by then-Gartner analyst Howard Dresner, who defined BI as an umbrella term to describe concepts and methods to improve business decision making by using [...]
“By 2015, 15 percent of organizations will have added social media data about their customers to the customer master data attributes they manage in their MDM systems” – Gartner
In my previous post on Collaborative Data Management we analyzed how data governance, quality and Master Data Management (MDM) can be leveraged to bring about a coherent [...]
A quick search on the internet on Business Intelligence brings up a myriad of results:
a) Big Data analytics helps to analyze large volumes of data – Is this BI?
b) Data Virtualization brings together enterprise data from multiple, disparate sources– Is this BI?
c) Data discovery tools offer agility and high performance for faster data exploration – [...]
Recently, I had the opportunity to speak at the Silicon India Business Intelligence Conference. The topic I chose for the discussion was focused on providing the BI & Analytics perspective for companies transitioning to a new world. You can view my presentation at this link – http://bit.ly/VLDDfF
The gist of my presentation is given below:
1) First, [...]
Well the topic may seem like a pretty old concept, yet a vital one in the age of Big Data, Mobile BI and the Hadoops! As per FIMA 2012 benchmark report Data Quality (DQ) still remains as the topmost priority in data management strategy:
‘What gets measured improves!’ But often Data Quality (DQ) initiative is a [...]
Business decisions are the cornerstone of a successful BI implementation. Cataloging the decisions taken by the key stakeholders in an organization is the first step in understanding the information requirements for a data warehouse. Capturing business decisions – strategic and operational, is not a simple task as most business decisions tend to be complex requiring [...]
Having been a Business Intelligence practitioner for the last 13 years, there has never been a more exciting time to practice this art, as organizations increasingly realize that a well implemented BI & Analytics system can provide great competitive advantage for them. This leads us to the question of – ‘What is a well implemented [...]
Mobile Business Intelligence (BI) covers solutions that enable delivery of BI content or information via dashboards, KPI scorecards, reports, charts, alerts, messages to a mobile platform. The mobile platform includes both Tablets and Smartphones.
Almost the same content can be delivered to Tablets and Smartphones, but Smartphones are more appropriate for BI content consumption and Tablets [...]
Myopia = Shortsightedness. Theodore Levitt published his landmark paper titled ‘Marketing Myopia’ in 1960 that led to a paradigm shift in how companies viewed their business models. Marketing Myopia refers to ‘focusing on products rather than customers’, and how such a short-sighted view is bound to eventually lead to business failure.
One reason that short sightedness [...]