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 olap perspectives on data warehousing

Browse RFP templates

Visit the TEC store for RFP templates that can save you weeks and months of requirements gathering, and help ensure the succes of your software selection project.

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Compare Software Solutions

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

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Documents related to » olap perspectives on data warehousing

Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

olap perspectives on data warehousing  Data Warehouse Definition | OLAP | Business Intelligence | Huge Data Warehouse | Data Warehouse Appliance | Premier Data Warehouse Corporation | Definition of Data Warehousing | Valuable Data Integration | Enterprise Data Warehousing | Contains Information on Data Warehousing | Building the Data Warehouse | Term Data Warehouse Lists | Expensive Data Warehouse | Data Warehousing Provides | Data Warehouse Appliance Consists | Data Warehouse Info | Implementing Data Warehouse | Data Warehouse Process | Read More

Contemporary Business Intelligence and Its Main Components


Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate data for decision-making. But what exactly are the primary components of BI?

olap perspectives on data warehousing  representations for each combination. OLAP is often used in data mining tools, which is a class of database applications that look in a group of data for hidden patterns that can be used to predict future behavior. For example, data mining can help retail companies find customers with common interests. However, the term is commonly misused to describe software that presents data in new ways. True data mining software does not just change the presentation, but actually discovers previously unknown Read More

Business Intelligence Status Report


Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged? What does the terminology surrounding it mean, and what is its current state of affairs?

olap perspectives on data warehousing  representations for each combination. OLAP is often used in data mining , which is a class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. For example. ,it can help retail companies find customers with common interests. Yet, the term is commonly misused to describe software that presents data in new ways, since true data mining software does not just change the presentation, but actually discovers previously unknown relationships Read More

Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization


Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive business decisions and develop corporate strategy. For an organization, there are many benefits to implementing a BPM solution.

olap perspectives on data warehousing  BI online analytical processing (OLAP) cubes, sales data can be reflected multidimensionally with rolling sales data over a three-year period. This, however, pales in comparison to dashboard functionality, which allows a sales manager to see up-to-date sales figures in real time, and to compare them against predefined metrics. The sales manager can then drill down on the data to access and analyze operational data in order to determine a plan of action. KPIs vary depending on the function of an Read More

Business Intelligence: A Guide for Midsize Companies


Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.

olap perspectives on data warehousing  tools '' with embedded OLAP functionality '' permit business users to perform dynamic analyses on their data. As most IT practitioners can attest to, a user working with a static report will likely ask for additional details and modifications; query and analysis tools allow business users to formulate a high-level query and then immediately explore the underlying details on their own. Core BI technology '' like query, reporting, and interactive analysis '' is used to view or analyze what is or has already Read More

Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

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The World in Crisis: A Report on the Impact on Global Outsourcing Relations


As companies come to grips with current fiscal realities, choices may result more from reaction than the use of sound judgment. Removing vital resources and reducing services can create an even lower return on investment (ROI) than existed before downsizing. Outsourcing may offer a solution. Learn about the effects that the present financial situation will have on the outsourcing community, including buyers and suppliers.

olap perspectives on data warehousing   Read More

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

olap perspectives on data warehousing  data security,data security architecture,data security articles,data security audit,data security breaches,data security companies,data security complianc,data security concerns,data security coordinator 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.

olap perspectives on data warehousing   Read More

Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

olap perspectives on data warehousing  data silo,business information systems,linked enterprise data,LED,business intelligence,BI,master data management,MDM,service-oriented architecture,SOA,search engines,Antidot,Antidot white paper,semantic web Read More

On Demand or On Premise: Understanding the Deployment Options for Your New Business Management System


When implementing a new business management system, you need to consider many factors. With advances in Web technologies and growth in broadband across the Internet, alternative deployment methods have emerged. Nowadays, you often must include the question of whether to implement the solution on premise or on demand. Find out more about these options and how your choice can impact the overall success of your solution.

olap perspectives on data warehousing   Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

olap perspectives on data warehousing  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

olap perspectives on data warehousing  Enterprise Management Associates, EMA, 9sight Consulting, big data, hybrid data ecosystem, real-time data, big data buzz, big data requirements, big data challenges, big data architecture Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

olap perspectives on data warehousing  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

olap perspectives on data warehousing  operational data lake, Hadoop RDBMS, operational data store, transactional database, transaction processing, big data repository Read More