To get ahead in the Internet of Things (IoT), a strong data analytics effort makes the difference. A new survey conducted by MIT finds companies with strong analytics capabilities are three times more likely to get value from IoT than are those with weaker analytics capabilities. Those are some key takeaways from a recent MIT... more
We're entering an era where organizations are looking to move beyond the traditional data warehouse. But the data warehouse is not going away just yet. Far from it. Data warehouses will remain an indispensable part of the analytics toolbox for a long time to come—but they won't stand alone.
The easiest way to understand the importance of Data Quality, especially for those that deal with data processing daily, is to look around and pick up any physical object of daily usage and imagine the process of its transformation from a mix of raw ingredients to an unfinished final product. Would that object be still... more
I had the pleasure of attending a presentation by a vice president of a regional bank. He led the presentation with this statement, “What is important to our customer is important to our Bank”. Customer success is a key factor for any business, but banks are finding it necessary to compete in today’s environment. This... more
The next big trend in big data is “simplification”. As organizations continue to diversify their data ecosystems with new platforms like Hadoop, new sources of complexity are burdening organizations from getting trusted insights quickly. Organizations are increasingly unwilling to manage big data infrastructure on-premise and are increasingly looking to off-premise options such as Amazon, Microsoft,... more
There is no one-size-fits-all when it comes to Human Capital Management (HCM). Large companies with a global payroll have unique tax requirements to address. Government and healthcare companies need to meet stringent compliance regulations. Smaller companies have a “war for talent” to quickly fill positions in a highly competitive market. Others are looking to share... more
Dreamforce 2016 is right around the corner and this year’s event is going to be bigger than ever. An estimated 170 thousand attendees will be picking up their badges, lacing up their walking boots and checking out all of the great sessions the conference has to offer. But make no mistake, this event has long... more
This is the third of three posts covering the core aspects of the next-generation integration competency center that we’re calling Enterprise Data Competency. In previous posts, we started with integration competency—the basic but increasingly challenging task of making all your data streams play nicely together—and then moved to information competency, which is the ability to... more
As marketers become increasingly data-driven, more doesn’t automatically translate into better. Since data delivers accuracy, efficiency, and engagement, it’s easy to believe that the more data we have, the better we can find prospects, learn what they need, and convert them to customers. But using more data isn’t at the heart of being data... more
This means that for data management you are going to have to connect to everything, and plan for the fact that “everything” might be on-premise or in the cloud for the foreseeable future. If data management was hard before with the complexity and silos of the data center, it is going to get much harder as the number of cloud applications and platforms grow.