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I have just returned from attending the 5th Annual Big Data Warehousing & Business Intelligence Summit, organised by Enterprise IQ, held in Sydney on 27 – 29 November 2012. I participated in two panel sessions, firstly as a panelist on doing business in the Big Data age, and secondly moderating the session on the architectures …
In a previous post I discussed three areas that the CIO’s dashboard should address, namely proliferation and penetration, users and usage and some of the more important data quality measures. In this post I discuss more of the aspects that the CIO should be tracking, from the point of view of being the executive ultimately responsible …
There are many routes to end up with a BI sponsorship in your lap. You could have inherited the sponsorship of a BI project from a predecessor. You could have been appointed to fill the position. You could have been “volunteered” by not necessarily well-meaning peers, or… you may have grabbed the BI sponsorship role …
Changing BI Architectures and Approaches In today’s fast paced society everything is trying to be bigger and better. We have grown accustomed to a society where everything needs to be more advanced and developed. This has resulted in an insatiable thirst for instant information. It is certainly no different in the business world and when …
The old “once a year break-away session” to do strategic planning, to drive an action plan and determine the key performance areas for the year does not work in today’s fast changing business environment anymore. Business have to be way more adaptable in setting, driving, implementing and managing strategies. Likewise BI has to be way …
Prototyping reports and graphs interactively with business users is an excellent approach to get their requirements, and show them what can be provided. To do this you need to be well prepared and very skilled with the tool you are using.
Agile BI is all about interactively prototyping the information requirements and information usage with the business users. You can deliver data as quickly as technically possible, but if you don’t workshop the information exploitation aspects interactively with the users, then you are not being agile.
“Agile data warehousing” is a contradiction in terms. Very few activities are less agile than populating a 10 terabyte data warehouse… However if you want to deliver information frequently and rapidly to the business, you have to speed up the ETL implementation.
Using agile BI is a sure way to deliver useful information to the business fast enough to keep ahead of the rapid changes in the marketplace, but the data warehousing part has to fit into a carefully architected blueprint to ensure the longevity and cost-effectiveness of the implementation.
