Home
 > search for

Featured Documents related to »  big data analytics


Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

big data analytics  to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
Sales Force Automation (SFA)
Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » big data analytics


Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World
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

big data analytics  In-Memory Technology Reboots the Big Data Analytics World 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 Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

big data analytics  to face in doing big data management and analysis? Hadoop seems to becoming the de facto technology for “Big Data” processing. While the advantages may be clear (no license fees, open source, etc.), the barriers to entry can be large. Organizations considering Hadoop must realize that to implement a Hadoop environment and maintain its operation calls for a considerable engineering skill set and resource. Despite the need for this large engineering investment, many organizations are still willing to Read More...
Vitria Operational Intelligence 4 to Offer Real-time Analytics for Big Data
Vitria, a software provider of operational intelligence solutions recently released version 4 of its Operational Intelligence suite, which includes several

big data analytics  Offer Real-time Analytics for Big Data Vitria , a software provider of operational intelligence solutions recently  released version 4 of its Operational Intelligence suite , which includes several enhancements of its existing capabilities but, more importantly, offers new capabilities for real-time analytics for big data, enabling the analysis of continuous flows of large amounts of data. Some of the new features included in this new release are: Advanced process Intelligence to monitor and analyze Read More...
Exploiting Innovative Technologies in BI and Big Data Analytics
Data is worth nothing without the right technologies to facilitate its transformation into meaningful information—delivered to the right people in a timely

big data analytics  Technologies in BI and Big Data Analytics Data is worth nothing without the right technologies to facilitate its transformation into meaningful information—delivered to the right people in a timely manner—for improved decision making. Forrester recently conducted a survey with 330 global BI decision makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and Big Data tools. Is your company harnessing the latest innovations in BI technology to Read More...
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

big data analytics  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. Read More...
A Solution to Data Capture and Data Processing Challenges
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

big data analytics  Solution to Data Capture and Data Processing Challenges 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. Read More...
Analytics Software Suite
The complete suite of Angoss desktop and client-server software products @ with big data and text analytics capabilities @ delivers recommendations for

big data analytics  software products – with big data and text analytics capabilities – delivers recommendations for actionable and effective sales-driven and risk mitigation business decisions. Read More...
Create an Intelligent Analytics Strategy for Your Organization
A good business analytics strategy can pay off. Learn how to grow and transform your organization with analytics and business intelligence (BI) in this

big data analytics  business analytics,business performance management,BI and analytics,business analytics strategy,analytics for midsize businesses,IBM,IBM Cognos 10 BI,Business analytics processes Read More...
Predictive Analytics for Business Advantage
Today, predictive analytics is used mostly in marketing and sales for help in retention, cross-sell/upsell, and direct marketing efforts. But change is coming

big data analytics  SAP, big data, analytics, SAP HANA, predictive analytics, SAP analytics, TDWI, predictive Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

big data analytics  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

big data analytics  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

big data analytics  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frus Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

big data analytics  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More...
Popular Searches

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others