Digital Integration: Overcoming Enterprise Data Challenges

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
Next Next

Islands of Disparate Data

Data islands are created as a byproduct of operational and project moment-in-time decisions not made in the context of a larger data strategy. Layering of legacy systems conjoined with newer technologies and a lack of governance for data systems also results in data-related islanding of internal departments and work groups.

This can lead to a limited purview and inhibit collaboration. Data gets siloed, whether it is enterprise data, equipment data inside an organization, or data across different organizations. This fragmentation makes data discovery difficult and presents complex technical and organizational challenges.

When the data is scattered throughout manufacturing plants and the enterprise, integrating and analyzing it manually becomes resource-intensive and tedious. To extract meaning and value from data, new systems are required to handle the challenges posed by the volume, velocity, and variety of these Big Data sets.

Digitizing operations has become an imperative for the modern industrial corporation.  Technological progress in computing, sensing, storage and communications technologies has made it easier, faster and cheaper for organizations to accelerate adoption of Big Data and asset management technologies. 

However, with the growing volume of data from assets and operations, there are significant challenges that asset-centric companies need to overcome to reap the benefits of digitization. In this slideshow, Shefali Patel, director of strategy and marketing, GE Digital, discusses the challenges inherent in working with large volumes of data and how to successfully leverage enterprise data.

 

Related Topics : IBM Looks to Redefine Industry Standard Servers, APC, Brocade, Citrix Systems, Data Center

 
More Slideshows

RKONITGrowthFlexibility0x Building High-Growth IT: 5 Things to Know Now

Five factors IT pros need to consider when strategizing and constructing a computing platform built for growth and flexibility. ...  More >>

DataCtr11-290x195 5 Essential Elements in Building an Agile Data Center

Five key areas that are critical for successful data center modernization efforts include speed, quality of service (QoS), disaster recovery, predictive data analytics and manageability at scale. ...  More >>

cloud47-290x195 Multi-Cloud 101: 7 Things You Need to Know

Many organizations are beginning to consider use of a multi-cloud strategy, in which multiple cloud solutions are leveraged for a more complete and purpose-built cloud architecture. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.