At first, a story of analytics at the Olympics may not seem directly relevant to business, but on taking a closer look, it has very similar challenges and opportunities to what we see successful enterprise customers doing with Big Data and analytics today.
Enterprise Data usage has never been higher than it is today; and data usage is continuing to grow as Data fueled applications are the norm. The variety of sources, the volume, the transformations and prolific use of Data makes Data-Integration a critical ‘hub’ of enterprise data that enables critical business processes. In this Golden Age... more
Welcome back to our series of Analytics Chalk Talk videos. I hope you enjoyed our last video: “What’s Next for Big Data Analytics?” This week, I want to discuss how to support the popularity of cloud analytics without creating yet another data silo. Below is a transcript from the video as well as the video... more
Thinking about data management architecture early is key to success in deploying hybrid analytics. You need to address the key data management challenges without slowing down the analytics project - which is the whole point of cloud deployments.
According to Accenture, 76% of supply chain executives are not satisfied with their overall supply chain performance. And about three out of every four executives think their supply chain and sales & marketing functions are misaligned when it comes to responding to market needs.* Lack of Supply Chain Visibility and Ineffective Collaboration A lack of... more
It seems every day we hear more and more stories about how businesses are facing the challenge of transformation. The same can be said about partner enablement. As partners evolve their business models to support cloud and subscription revenue, they also expect technology vendors to evolve their enablement offerings to address line-of-business decision makers and... more
When it comes to addressing mission-critical business problems, comprehensive metadata management is a critical capability for any enterprise information management strategy. In the Gartner report “Market Guide for Metadata Management Solutions”, Gartner’s clients stated they want metadata management capabilities in order to address five major use cases: Data Governance, BI & Analytics, MDM, SOA, and... more
New Gartner Magic Quadrants for Data Integration and Metadata Management. As the complexity of data management increases, the importance of a data management platform and metadata increase as well.
I often do the Data Integration 101 talk. It covers the basics of data integration, and tells people how to get started. The cloud, IoT, and big data seem to be driving renewed interest in this topic. More and more enterprises are in the process of reviewing their data integration solutions, as well as the... more
“Cloud First” is now a reality for most companies. Instead of building new data centers, CIOs are asking if they can use a public cloud provider like Amazon Web Services or Microsoft Azure. Instead of deploying on-premise applications, their initial choice is a SaaS provider like Salesforce.com. The advantages of Cloud – agility, cost, scalability... more