Informatica Perspectives

I find this rather an interesting and profound question!  Trusted data.  What does this mean, and how does it affect us all?  We've built all these systems over the years and we implicitly trust that the data provided is correct.

For years I have used online banking and I trust my bank (well, things have been OK up to now and I always check my statements and cross-reference incomings and outgoings).  Why do I check it - basically because I'm still a little nervous, it makes sense and I hear horror stories about hacking, stolen identities and all sorts of security issues.  The latest high profile example of this of course was the Sarah Palin hack (take a look at View From The Bunker for an interesting blog on security).

We make decisions all the time based on trust.  We buy presents for our loved ones, or cars and houses because we think we have enough funds - we trust our data.  I was chatting to a journalist recently over at the Oralce Openworld conference and he brought up the word trust … apparently he was using a very popular on-demand service (you know … the gorilla in the market!) to sell to customers and wasn't able to reconcile with his finance people.  They were telling him that his top 10 customers were completely different to the top ten in his SaaS system.  Hmm … a great example of "which data do you trust"?  The CRM system , or the finance system?  After investigation he found out that the problem was because the two systems were not connected and his company was relying on human process to update both systems.

That's the whole point of integration - to help ensure that your systems are connected and that the right information is available to you to help you improve your decision making process, and operate more effectively.  Today data is the lifeblood of every company, it's the true currency that we all deal in when we trade on the stock exchanges, or run drug trials across hospitals, or manage supply chains across continents.  You have to be able to trust your data - and yet the world is full of examples of mistakes made or mishaps occuring because of poor quality data.

Take a look at "Do You Trust Your Data?". It's a new site we've pushed out highlighting real-world examples of stories relating to trusting your data.  You can add your own (anonymously if you'd like).   We've love to hear from you.  Go on… I know you want to