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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 bi data warehouse info

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » bi data warehouse info

BI State of the Market Report


IT departments rarely know as much about a business as the business people themselves. But business users still depend on IT to deliver answers related to the information that they receive. Learn how business intelligence (BI) 2.0—also known as collaborative BI—is helping business users create and modify their own reports, share and enrich information, and provide feedback to each other and to information producers.

bi data warehouse info  applies them in the BI space by making data the focus of user collaboration. The following sections take the capabilities above and list the functional requirements that support them. Bear in mind that each of these functional requirements is a business user requirement and not an IT or development requirement. Collaboration Collaboration is about being able to share insights and help others to gain insight. These are the main functional requirements for collaboration: the ability to use e-mail, instant Read More

Enterprise Information Management: Strategy, Best Practices, and Technologies on Your Path to Success


New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster service stress front-office applications, while parallel demands from internal users place greater demands on back-office systems. Before you discover that your data quality has been rendered ineffective, consider adopting enterprise information management (EIM).

bi data warehouse info  data; it is also bi-directional. Data sources can call published services via SOA to perform specific functions, like launch a series of data audit tests when an event is triggered. SOA makes EIM operations richer because they can both pass information and invoke procedures. In the grand scheme of things, organizations become more agile. Organizations implementing SOA do so to reduce costs through reuse, change systems faster, or modernize their system architecture. SOA agility means new applications or Read More

Lifting a Veil of Mystery Off Jesta I.S.


Even after nearly 15 years as an enterprise analyst, I still find myself coming across a vendor that has been around for more than 40 years but one that I am not familiar with. One such example is Montreal, Canada-based Jesta I.S., a vendor that delivers integrated enterprise resource planning (ERP) and supply chain management (SCM) solutions to manufacturers, wholesalers, distributors, and

bi data warehouse info  in-store POS, back-office, and BI apps. In addition, we are trying to introduce white label consumer-facing mobile apps that will have a tight integration layer with social media. TEC: What is your high-volume retail analytics (big data) strategy, e.g., customer analytics, social analytics, etc? Are there any generally available offerings? AG: We are still in the process of flushing out the details of our big data strategy. Most likely, we will be leveraging our cubed data warehouse offering to introduce Read More

Microsoft Analyst Event Part Three: What Else Can Dynamics Do, and What’s Next?


Microsoft recently held its annual Dynamics Fall Analyst Event (FAE) in Redmond, Washington, where news about the company’s Windows 8 platform (see Part One of this blog series) and Microsoft Dynamics products (see Part Two of this blog series) was released. Among the demos and tours was info on some of the lesser-known data platforms and business intelligence (BI) capabilities for Microsoft

bi data warehouse info  SQL Server and Microsoft BI professionals, Microsoft announced new capabilities for Microsoft’s data platform that should help businesses accelerate their time to insight with any type of data. The announcements included the unveiling of a project code-named “Hekaton,” a new in-memory technology that will ship in the next major version of SQL Server. In-memory computing is a core element of Microsoft’s strategy to deliver a data platform that enables customers to analyze all types of data while Read More

SAP HANA-One Technology to Watch in 2012 (and Beyond)


Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database that will enable companies to analyze large volumes of operational and transactional information in real time, from virtually any data source, and that will eventually deliver an entirely new class of applications that will change the way people think, work, plan, and operate.

bi data warehouse info  supply chain responses and BI products. But SAP is betting on the integration, certification, and optimized performance of its products for HANA as the preferred database in the future. Thus, the indications are that every new research and development (R&D) request at SAP that is not HANA-based must be approved by the board. We may be still a long way from seeing SAP HANA replace Oracle, IBM DB2 , or Microsoft SQL Server as the transactional data manager for SAP Business Suite (and Progress OpenEdge in Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

bi data warehouse info  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More

Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

bi data warehouse info  masking, while increasing organizational flexibility and agility. Read More

Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

bi data warehouse info  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More

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 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 and a discussion of the results.

bi data warehouse info  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

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

bi data warehouse info  required to identify and combine all data sources that might be relevant. Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The Read More

Mobile BI: Features, Challenges, and Opportunities


What does your organization need to consider when adopting a mobile business intelligence (BI) or business analytics strategy? What are the enablers, challenges, and opportunities of a mobile BI strategy implementation? In this report, we explore considerations for deploying a mobile BI solution, how to leverage this type of platform to best advantage, and why a mobile BI/analytics solution can be a valuable asset for your company.

bi data warehouse info  opportunities of a mobile BI strategy implementation? In this report, we explore considerations for deploying a mobile BI solution, how to leverage this type of platform to best advantage, and why a mobile BI/analytics solution can be a valuable asset for your company. Read More

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 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.

bi data warehouse info  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 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

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

bi data warehouse info  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More

Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

bi data warehouse info  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More

New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

bi data warehouse info  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More