Solve the Surplus Data Dilemma with Data Governance

By |2021-06-07T05:49:08-04:00May 12th, 2021|Data Compliance, Information Governance and Management|

What is in your data? You need to know Data-driven decision making empowers problem solvers to address business challenges with confidence. From the factory floor to the marketing department, big data drives policy and enables businesses to connect more effectively with customers. However, unless managed properly, too much data can prove costly. Solve the surplus data problem with effective data governance. Risks Associated with Surplus Data With everything from websites to appliances generating data, organizations gather vast quantities of information each day. As a result, as many as 65 percent of companies report that they deal with a problematic surplus

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Digital Twins Harness the Power of Data to Drive Innovation

By |2021-06-07T05:57:03-04:00April 21st, 2021|Information Governance and Management, Trending|

In April 1970, disaster struck the Apollo 13 mission. Using a replica of the lunar excursion model (LEM), ground crews designed and tested a solution remotely, dramatically saving the lives of the astronauts. This example of paired technology became the precursor of today’s digital twins, which Gartner calls a “top strategic technology trend.” Simply put, a digital twin delivers a virtual duplicate of a physical object. Engineers gather actual data about an object or system and use that data to create a digital model. For instance, they may create a digital twin of an airplane engine. They might even combine

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Messaging Architects has been providing professional consulting services around unstructured data and information governance for over 12 years.  Our topnotch experienced project management and engineering team assists organizations to address information risk management strategies, eDiscovery processes, data security and information management policies.    Information is an organizations biggest asset but it can also be that organizations biggest risk.

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