Jibes awarded 2nd place at Transavia Data Science Hackathon

By | Award, Big Data, Data Analytics, Hackathon | No Comments

Jibes awarded 2nd place at Transavia Data Science Hackathon. Transavia is a Dutch Low Cost carrier, subsidiary of KLM and based at Amsterdam Schiphol.
Timing is essential for airliners, with massive impact for passenger experience and operational cost. The airliner invited 20 teams from companies and universities to crack this challenge. Mission to develop a prediction model for boarding times. We would like to congratulate the Jibes Data Analytics team!

Big data is dead, long live big data

By | Big Data, Data Governance | No Comments

The world get’s overwhelmed with the term big-data. Every software vendor has put the big-data label on every product that has something to do with databases or data stores. Even hardware vendors are putting big-data labels on storage devices and systems. The term big-data has become overhyped, and has no meaning anymore; it has become a term for everything that has to do with data. An interesting blog entry is found here: http://blogs.gartner.com/svetlana-sicular/big-data-is-falling-into-the-trough-of-disillusionment.

And this is interesting, because by putting a big-data label on every project, product and company we will surely be disillusioned when we install these so-called big-data in a box solutions. So let’s not expect wonders from “big-data” products, but make sure that we have some kind of information architecture or agenda in place where we define what we expect to gain from our own, and external data, and what kind of capabilities we need to get there. We will eventually find that what was needed for our “traditional“ data management solutions, is also needed when the volume of this data grows, the diversity of the data sources rises and the need for processing speed increases. And that is a sound information architecture where information can be qualified, tagged and integrated into our enterprise (big or small). An enterprise where information can be found within the data, and where we agree on the definition and usability of this information within our day-to-day work.

Basic message is to not get disillusioned, but be prepared and start thinking about data and information management with a solid foundation.

Data imprisoned in databases

By | Data Governance | No Comments

In a meeting last week I was talking to some business users in a large company. An interesting statement was made by some of them who said that all important data is imprisoned in corporate databases. It is just too difficult to get information or value out of these systems without hiring an expensive lawyer (read IT). And when finally the data is delivered, it is old and useless. The end-users where asking their managers to get direct access to data, so that they can make use of data that should be available to them.

And I agree, data has to flow free and be open to the business. But just opening up everything is not the solution. We still need to take care of the quality, timeliness, correctness and even legal restrictions of the information we push out into the company. Better to work with no data than incorrect data should be the idea.

When data is difficult to access or even hidden, it first points out to poor data governance. Why? The first priority of data governance is defining ownership of data. Everybody assumes that IT is the owner of data. But in reality IT is facilitating the storage of data (the prison), not the actual data itself. The real owner of the data is the person, who is able to functionally describe it, can qualify the contents, is aware of possible security or privacy issues and knows the relation with other information in the enterprise. Most of the time this is a business user, and in even more cases it is a group of business users from different parts and expertise’s within the enterprise.

More important: data governance is not a product you get installed by IT (although some vendors would like you to think it is). Data governance is a set of processes where especially business users play a huge role in defining (and enforcing) the rules on data usage. Specialized software is available to support this, not solve this out of the box. So don’t just rely on just IT to free data from their prisons. Start a data governance project to define and implement the proper guardians of data, and make it possible for the data to get out on probation until quality and other factors say otherwise. It might even give you more information and insight than you thought it would be.

Jibes awarded with IBM Outstanding Performance Award

By | Award, Cognitive Computing, Data Analytics, IBM, IBM Watson | No Comments

During the annual event for IBM Business Partners, named ‘Night of the Stars’ we received the award on behalf of Jibes from Monique Coebergh, Director IBM Global Business Partner Organisation IBM BeNeLux.

The award recognises Jibes as a strong, trusted and best-in-class IBM Business Partner which is expressed by the outstanding quality of the Jibes team in general and their leading role in various Watson projects and initiatives in particular. In their response Jibes expressed their appreciation and with this acknowledgement will sustain their specialist focus and the customers centric approach.

A big compliment for our dedicated team!
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