In a previous blog-post, my colleague Anand noted the emergence of a ‘Top-Down’ data governance approach. A parallel trend in the world of analytics is ‘Self-Service’ – or the tendency of enterprises to hand over data discovery/visualization to business owners, which we have noted elsewhere on our blog. ‘Self-Service’, is an important operational improvement in […]
Data Governance is not new. Data Governance has been a challenge that large organizations have been tackling especially those in highly regulated industries like Finance and Healthcare.
Continuing from the earlier blog on why Metadata management cannot be an afterthought, let us get a quick 101 intro on metadata types before look at their management aspects. Business metadata captures the business definitions for each of the data elements in the analytical platform along with optional elements such as Business policies, standards and […]
As Organizations realize Analytics is fundamental to their survival, they are in a frenzy to feed all possible data into their analytical platforms. The analytical platforms are maturing in capability to manage variety, volume and velocity of the data that they are being fed with and churn out the needed analysis for the end-users. All […]
As we saw in my first post of this, ‘Agility’ is the speed with which the data platform is made available for analysis and its ability to respond to changes in the analysis requirements from Business. We will look at some of the technologies that can help in this space. In this post we will […]
The three inseparable requirements that is increasingly being looked at in the BI world are ‘Agility’, ‘Scale’ and ‘Self-Service’. To start with, let me define these terms. ‘Agility’ is the speed with which the data platform is made available for analysis and its ability to respond to changes in the analysis requirements from Business. ‘Scale’ […]