The Cloud: Post-Modernist Thinking
by Michael Hiskey | October 23, 2018
Recently, the business world has rushed to cloud platforms with incredible fervor. The excitement is not without reason. The business world is currently undergoing a CEO-led digital transformation, casting light on the reality that information is an organization’s lifeblood.
How to Build a Successful Data Lake: Look at your Information Strategy
by Michael Hiskey | October 10, 2018
In today’s world, a data lake is the foundation of information management — and, when built successfully, it can empower all end-users, even nontechnical ones, to use data and unlock its value. This post shows how to set the right foundation to maximize the value of your data lake.
You need a healthy relationship with your CRM
by Michael Hiskey | September 26, 2018
Asymmetric relationships, where people do not feel like equals, are generally unhealthy. So, why do people put up with these types of relationships with their CRM? This article explores how the Data Hub can get your CRM to not only store information, but also share that data.
Post-GDPR: Keep your good data out of bad hands
by Michael Hiskey | August 28, 2018
Since GDPR came into effect May 25, 2018, everything you do with your data may be used against you. Although GDPR gives EU citizens the biggest data privacy rights in history, including the “right to be forgotten,” it could also open the door for data to become a weapon of mass destruction.
When it comes to data, the interface matters as much as the information
by Michael Hiskey | August 07, 2018
The digital revolution has been as much cultural as technical. Empowering nontechnical users provides the path forward: shoring up systems that get data out of stale silos and into everyone’s hands. This post explains how intuitive interfaces bring value from your enterprise software.
Making Sense of Application Data Management
by Michael Hiskey | July 24, 2018
Recently, businesses have been retooling their data management strategy by focusing on the larger architecture of the data hub. This blog post takes a deeper dive into a critical component of the data hub: application data management (ADM).
AAIS: Building an Interactive Insurance Product Development & Delivery Platform on the Data Lake
by Michael Hiskey | July 12, 2018
The Data Lake is the to-be model for modern data management. Left unchecked, governance, quality and reference data can get out of control. AAIS employed the xDM Intelligent Data Hub from Semarchy to curate and pair information from the data lake with product information empowering business users.
Client Advisory Board - France June 2018
by Michael Hiskey | July 06, 2018
The first Client Advisory Board meeting in France for Semarchy Enthusiasts - June, 2018. Summary of the meeting and discussions [Blog]
Pragmatic GDPR: Single View of Person
by Michael Hiskey | June 12, 2018
This is an overview of advanced classes on GDPR that focus on practical experience, rather than “What is GDPR and why should you care.", it will require the right blend of people processes and technology to successfully meet the data requirements associated with GDPR.
3 Things Retailers Should Do to Get Ready for GDPR
by Michael Hiskey | April 17, 2018
With GDPR, businesses will have to know their customers’ data like never before. Any company that interacts with a single EU citizen, could face stiff fines for noncompliance. Here are three things retailers can do to right the ship and face the currents coming across the pond.
Enhancing Customer Experience with an Intelligent Data Hub
by Michael Hiskey | April 12, 2018
In today’s world, the most important aspect of enhancing your consumer experience is understanding your customer—and the best way to understanding them is from their data. This blog will show how the Intelligent Data Hub will help businesses better understand their customers.
Application Data Management and The Intelligent Data Hub
by Michael Hiskey | April 04, 2018
For businesses, one of the most tantalizing promises of the digital revolution is the ability to use data to create value—to generate ROI from the raw information streaming in from professional networks as much as from actual “things.”