Another Halloween just got over. I am sure all of you had a great time putting the lights and carving the pumpkin – at least your kids had really a fun time. I too enjoyed standing at the door and giving out candies. My 11-year-old boy just came after a 2 hour Trick-or-Treat journey in my neighborhood. Not only that he was tired, but he was very upset. I asked him on his concerns and he listed a few: Read more →
Most Organizations today aspire to be a data driven company but what exactly does it mean and what does it take you to get there? I am going to put my thoughts here based on my interactions with several of the mid size companies(less than a billion in revenue) in United States.
As we have seen in the last few years, the term “Big Data” was going through its hype curve and most of the leaders thought (still thinking I guess) that “Data Driven Enterprise” is all about Big Data. To be “Data-Driven” means creating a Read more →
Over the last few years, you have invested heavily in building your Data Warehouse and Business Intelligence capabilities. And if you have done it right, you have been reaping the benefits of it in a meaningful way too. But we all know that it is handling only a reasonable amount of your structured data. Now we are in the Big Data era and you need to harness insights out of the large data sets – structured and un-structured – internal as well as external.
In almost all of my discussions, some of the common terms used that often are Data Quality, Completeness and Accuracy (and many other for sure). However, we don’t talk much about Trust! Can I trust the data so that I can blindly go ahead with my business critical decisions? It could be that it is taken for granted or all of us implicitly assume (rather pretend to assume) that if somebody addresses the quality, completeness and accuracy – that Data can be trusted.
How are some (many) organizations approaching the Big Data run? This came up in an interesting conversation with one of my friends (who is a Big Data Entrepreneur as well).
I am sure all of us agree that the traditional data warehousing itself took a long time to get matured in terms of the processes and governance aspects. I still don’t know if it is matured enough yet. Many of the traditional warehouses have been built over a period of time (with most of them starting small and enhancing it over the years) and because of the very reason, it’s getting more complex and difficult to manage.