For all the talk about the importance of making decisions based on solid data, most companies still struggle to understand what data they have and how to get at it to actually use it.
Your company has taken the time to ensure you are capturing as much data as possible whether it’s structured, unstructured or semi-structured. You also purchased the best BI tools to help you analyze your data for insights. But there’s a problem. There are serious gaps in the data supply chain.
Google’s recent announcement that it would discontinue support for the Google Search Appliance (GSA), in favor of a cloud-based implementation for its Google Search for Work offering seems to suggest a dilemma for enterprise architects. But the dilemma is false and enterprise application developers don’t have to make a choice between a migration to the cloud or a future spent managing open source solutions (OSS) ...
You’ve got Big Data? Sure, everyone’s got it. But how many organizations have indexed it all? The volume, variety, and velocity of data in a typical enterprise has by far outpaced the ability to catalog it in an orderly, easy-to-retrieve fashion.
Can we agree that data is the new lodestar? Its accuracy is so potent that businesses that use it well have an indispensible key to success. That’s why data is now called “business’s second language” and even “the new oil.” It’s our best source of insight, confidence, and market leadership today.
Today we announced an expanded relationship with PerkinElmer, a global leader focused on improving the health and safety of people and the environment, making them the exclusive OEM of Attivio licenses in the life sciences vertical.
The challenges you face as a risk and compliance professional reflect forces beyond your control. You’re between an accelerating expansion in technology – which offers new avenues for misbehavior - and a rising tide of regulatory expectations. It’s a classic problem of supply and demand.
Every organization recognizes the value of agility — the ability to work with our data iteratively and flexibly, pulling data from any source as needed for insight. To achieve agility, we work and rework the data stack, adjusting and rebuilding and tweaking everything from the data lake to the visualization tools. Too often, though, we fail to achieve agility in terms of the flow of data in the organization.
For all the talk about competing on analytics, little is said about what that takes. Strong visualization? Speed? Easy to use tools? It takes all that, of course, but one thing comes first: ready access to the data — the right data, for the people who need it, when they need it. As I said in my 5 predictions for BI and Big Data in 2016 post, without access to all your data, competing with analytics is just talk.