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What’s the Big Deal with Big Data?
{democracy:89}I won’t define big data here, but it’s clear for all the IT community to see that big data is the latest “big thing.” Just Google or Bing the

big data companies  {democracy:89} I won’t define big data here, but it’s clear for all the IT community to see that big data is the latest “big thing.” Just Google or Bing the term “big data” and you’ll get an idea of the amount of information and resources available (about 1,460,000,000 and 67,000,000 hits, respectively). But in our continuous research and talks with both software vendors and customers, we receive varied input related to big data: as big as big data is, some organizations have prioritized Read More
Field Service Management (FSM)
Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter r...
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Documents related to » big data companies


2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

big data companies  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More
Better Inventory Management: Big Challenges, Big Data, Emerging Solutions
Effective inventory control and management is a vital function to help insure the continued success of distribution and manufacturing and companies. Learn about

big data companies  Inventory Management: Big Challenges, Big Data, Emerging Solutions Effective inventory control and management is a vital function to help insure the continued success of distribution and manufacturing and companies. Learn about new, flexible, and more refined tools that provide for dynamic optimization of inventories to maximize customer service, throughput, and market share, while decreasing inventory investment and lowering costs. Read More
1010data Big Data Warehouse
Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data

big data companies  Big Data Warehouse Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data exploration. Built from scratch to deliver instant access to all the raw data in gigantic datasets, 1010data analytics offers a revolutionary a cloud-based platform that unifies data and analytics and provides a single repository for critical information assets. Read More
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

big data companies  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

big data companies  data center density are ambiguous and misleading. Describing data center density using Watts / ft² or Watts / m² is not sufficient to determine power or cooling compatibility with high density computing loads like blade servers. Historically there is no clear standard way of specifying data centers to achieve predictable behavior with high density loads. An appropriate specification for data center density should assure compatibility with anticipated high density loads, provide unambiguous instruction f Read More
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

big data companies  Goes Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical Read More
Big Machines for Big Problems? Not Necessarily.
GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that

big data companies  Machines for Big Problems? Not Necessarily. GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that “big problems require big machines.” However, this was presenting the company with significant—and escalating—cost and complexity issues. The solution: a self-managing and self-healing distributed computing environment that required no custom application development. Read More
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

big data companies  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

big data companies  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

big data companies  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More
How to Use Data Management Successfully
Find out in the white paper master data management: extracting value from your most important intangible asset.

big data companies  to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren't managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account, but other parts of the company aren't Read More
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

big data companies  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company's materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

big data companies  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data's Data Quality Suite operates like a data quality firewall ' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

big data companies  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More

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