What percentage of decisions need precise data right upfront ? My guess is less than 10% or even lower . A big decision for an average person is purchasing a home . Having gone through that exercise in two countries – and knowing many people who have done this before and after me , IContinue reading “The cost of precision in BI”
Monthly Archives: August 2013
Talent cannot be managed
Most people can and should be managed in an organization – but not talent . And talent is not a word that should be used in a light hearted and generalist way . That is how it loses relevance . Interestingly, I did not learn this originally from corporate world or business school – IContinue reading “Talent cannot be managed”
Big data – You can start small, but start today !
I am back at Houston Airport after an excellent customer event where I did a key note on big data . One of the side conversations that happened today was on where to start big data programs . Jon Reed had nudged me couple of days ago on the same topic . So here areContinue reading “Big data – You can start small, but start today !”
Holding a tiger’s tail
Where I grew up , our elders used to advise us that we should never hold a tiger’s tail . The story is that if you do catch hold of a tiger’s tail – you will have to round and round with the tiger pretty much for ever . People will cheer for you asContinue reading “Holding a tiger’s tail”
Big Data Deployment – Planning is everything
When data becomes big – and it gives pretty cool insights of high value , the big hurdle facing customers will be their own deployment challenges. Where should this magic solution live ? And how exactly will we find out ? Several factors play into this – and I am just mentioning a few thatContinue reading “Big Data Deployment – Planning is everything”
Defining Big Data, by listening to customers
Ever since I started working on SAP’s big data initiative , I have been having a hard time defining what exactly is big data . So, my gang and I had many a discussion and figured out that the best way to figure this out is to talk to customers . I called this aContinue reading “Defining Big Data, by listening to customers”
Helping Employees Avoid Mid-Career Crisis
First things first – individuals own their career , not companies or bosses or coaches or anyone else . Others can help , but only you can execute . I had this conversation about mid career crisis situations quite a few times recently in some variant with my mentors , and with people that IContinue reading “Helping Employees Avoid Mid-Career Crisis”
Are you ready for big data getting bigger and faster and never getting deleted ?
It is a rather scary thought, even for a guy like me who loves playing with data for fun over the weekend, after pretty much doing the same at work during the week š The quantity of data that gets generated todayĀ is huge, and it is getting created faster than you can think about it.Continue reading “Are you ready for big data getting bigger and faster and never getting deleted ?”
Operatics – Thorsten Franz’s Next Adventure
First off – read this post, please http://scn.sap.com/community/hana-in-memory/blog/2013/07/31/betting-my-livelihood-on-the-oltp-olap-convergence-meet-operatics-thorsten-s-hana-startup I cannot be happier for my dear friend, Thorsten Franz. If you don’t know Thorsten – reach out to him on twitter ( @thorstenster)Ā or Facebook https://www.facebook.com/operaticsĀ . Trust me it will be worth your time to know him – and you can thank me later š Thorsten isContinue reading “Operatics – Thorsten Franz’s Next Adventure”
