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A Solution to Data Capture and Data Processing Challenges

Source: CRM-ERP
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.


Featured publications:

Enabling Real-Time Sharing and Synchronization over the WAN
Source: Solace Systems Inc. Driven by increasing business demands and the availability of technologies like in-memory databases, change data capture software, big data storage systems, and complex event processing engines, some organizations are looking to enterprise data grids to accelerate, optimize, and scale their IT infrastructure. Managing big data scale transactional and event stream information is about more than just storing massive amounts of data; it requires the intelligent collection, filtration, sharing and exposure of information via enterprise apps connected by LANs, WANs, and cloud/grid environments. Read More...
Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World
Source: SAP In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing. See how it works and how to revolutionize the way you run your business. Read More...
Addressing the “Big Data” Issue: What You Need to Know
Source: Skillsoft There is no doubt that big data, i.e., organization-wide data that’s being managed in a centralized repository, can yield valuable discoveries that will result in improved products and performance—if properly analyzed. Nonetheless, you must look before you leap. This white paper shows you what you need to know about big data, including the challenges big data presents, must-have practices to successfully manage a company’s big data, as well as the metrics to measure the ROI. Read More...


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A Guide to Intelligent Data Auditing
Source: Tizor Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision. Read More...
Optimizing Gross Margin over Continously Cleansed Data
Source: epaCUBE Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally. Read More...
Four Critical Success Factors to Cleansing Data
Source: PM ATLAS Business Group, LLC Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology. Read More...

 
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