You think your organization does all the right things when it comes to data management and your 50+ databases are well documented according to your DBA (DataBase Administrator). So why worry ?

Well, a DBA is indeed more than able to handle the technical issues of data storage, access and security, but what about the actual usage your organization makes of the data ?

DATA --> INFORMATION --> INTELLIGENCE

The emergence of Big Data in recent years has made it absolutely necessary for companies to think about a smart strategy of DLM (Data Lifecycle Management). No digital transformation is possible without it.

What was new for DataBook in 2015 ?

At Rever, we are constantly working in order to improve our products. Always with two fundamentals in mind : customer satisfaction and innovation. As our softwares continue to evolve, we were able to offer several new initiatives in 2015.

Here's a recap of what happened last year for our data virtualization tool DataBook which we were very proud to present to the world in its newly improved version !

Third article in a four-part series.

Read the previous parts ->

Data migration

Data migration consists in reading the data of the legacy base in order to write them in the new base, while guaranteeing that all the data have been copied. This phase is decomposed in three steps :

Less poor data is essential

Data quality is about making sure that data are accurate and coherent.

What type of organization, big or small, can say that they're not concerned by data quality ? None, of course. 

Many different types of data are collected (for research, transactions, customer or administrative care, demographics, social media activity, surveys, basically all informations aimed at statistics...).

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