Many organizations struggle to meet growing and variable data warehouse demands. No matter how much they pad their annual IT budgets, there never seems to be enough capacity to cover unexpected business requests. This leads to resource restrictions for the various business units that use the platform. When business units are not well served by central IT, “shadow IT” emerges.
Unlike typical resources companies depend upon to thrive, the amount of data available to enterprises is not finite. With edge technology and smart devices, there is truly no limit to the quantity of useful data companies can and should be using to make better informed decisions. But many businesses unnecessarily limit the variety, quality, and extent of the data at their disposal by not having the right data architecture.
It’s all about the Customer Customers today expect services to be highly personalized. In a digital world tuned to understand your likes, dislikes, interests and preferences we expect a similar level of customization in all aspects of our lives. Insurance is no different. Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important. It is in this “Moment of Truth” that insurers excel or fail.
Industry accolades are always nice, and validate the hard work and effort of vast teams behind bringing a world-class product like Qlik Sense to market. But for me, when real-world users raise their voice in unison, that’s when you know you’ve really delivered.
Cloud migration, also called “move to cloud,” is the process of moving existing data processing tasks to a cloud platform, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Private clouds and hybrid cloud solutions can also serve as destinations.
In cloud migration, also known as “move to cloud,” you move existing data processing tasks to a cloud platform, such as Amazon Webservices (AWS), Microsoft Azure, or Google Cloud Platform, to private clouds, and-or to hybrid cloud solutions. See our blog post, What is Cloud Migration, for an introduction. Figure 1: Steps in cloud migration.
Users today are asking ever more from their data warehouse. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers.
How Hitachi Vantara’s global IT team is enabling the “new normal” and delivering at speeds previously thought impossible.
One of the really big trends that we're seeing in the analytics space, is the move towards talking about the analytics experience. Analytics experience is about supporting or triggering decisions and transactions. This is a shift from what I would describe as the passive use of analytics, where people were expected to use dashboards and reports that didn't add a lot of value to their transactions or decision making. The difference sounds subtle, but it's really quite profound.
