At DataSkill our focus is helping you make the best decisions for your organization. These decisions are driven by data and through analytics and artificial intelligence DataSkill can assist in uncovering the insights that will give your enterprise the competitive advantage. In today’s fast changing world, organizations are facing increasing time pressures for decisions. [...]

Are you new to IBM Cloud Pak for Data?  Are you looking for more information and guides to get you started?  Well, IBM has you covered.  There is a wealth of support documents, community articles and online videos to assist you.  We’ve pulled together some links to some of the most useful to get [...]

Data fabrics aid data discovery. IBM Cloud Pak for Data provides an integrated data governance, data quality and compliance solution. It is built with a data fabric architecture to improve productivity and collaboration, by reducing data complexity. This has led to DataSkill and IBM applying IBM Cloud Pak for Data to a variety of use cases [...]

Every year, IBM releases hundreds of new software versions – providing new capabilities and enhancements to improve the performance, productivity, and security of the Software.  In fact, this continuous development is one the core reasons why DataSkill recommends IBM.  IBM Software Subscription and Support (S&S) entitles you to access the latest versions and releases [...]

As we mentioned in our previous blog, Forrester recently name IBM as a leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022.  There were several data fabric capabilities that they deemed IBM to be strong in, one of these was deployment options. Deployment options include: IBM Cloud Pak for Data  - This open, [...]

IBM is DataSkill’s No.1 choice for data management solutions. DataSkill has been an IBM Business Partner since 1996 and we have chosen IBM because of its expertise and technology. IBM has deep expertise, a strong track record and proven solutions to help organizations achieve their business goals. In the 2021 Gartner Magic Quadrant for Data [...]