Digital Integration: Overcoming Enterprise Data Challenges

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

Optimizing Assets and Operations

Many industrial companies have already started their digital journey toward industrial Internet maturity. Reaching maturity involves five stages with corresponding technology components that allow an enterprise to 1) connect, 2) monitor, 3) analyze, 4) predict and 5) optimize their assets and operations.

This can be accomplished on-premise and in the cloud, depending on the current configuration of your data architecture. The first step is to connect all critical assets across the enterprise. This requires a highly scalable and fault-tolerant software system that enables cost-effective data storage, abstraction, visualization and analytics.

In order to exploit the fast-moving technology wave of the industrial Internet, companies need to think strategically and holistically about the foundational elements of their data architecture and asset management approach.

On-ramping with cost-effective data management technologies that can aggregate, store, analyze and visualize terabytes of data pulsing through assets and systems across the enterprise is a critical foundational step.

They give business leaders and operators a single source of truth to improve asset-level visibility, cross-operation performance, knowledge capture and employee collaboration. Having these capabilities in the field or in the cloud enables the enterprise to extract value from insights that would have otherwise remained hidden within islands of dark and disparate data.

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.