BeyeNETWORK Belgium: Global coverage of the business intelligence ecosystem

Displaying 1–15 (of 196)

Popularity is determined by a calculation of page views and community comments.

Title	Popularity *	Date
Exploring the Use of Social Network Analysis (SNA) in the Telecommunications Industry Summary This study from Frost & Sullivan discusses how SNA is run in mobile network operators, cable operators and fixed providers; the nature of SNA providers, their business models and approaches; and the market size of this segment from the point of view of SNA providers. Topics: Business Intelligence, Social Media 0 comments		15-07-2010
Social Network Analysis and KSN Summary The document describes the principles of social network analysis, the existing software solutions (KXEN's KSN and competitors), and their possible applications. Topics: Analytics, Business Intelligence 0 comments		15-07-2010
The Analytics Landscape Summary This white paper provides an overview of analytic technologies and how Jaspersoft‘s products and ecosystem address those areas. Topics: Business Intelligence 0 comments		15-07-2010
Jaspersoft and the Analytics Landscape Summary This white paper describes how the Jaspersoft ecosystem provides the most efficient, robust and scalable analytics solution, even as explosions in data accelerate and the market demands ever increasing insight. Topics: Analytics, Business Intelligence 0 comments		15-07-2010
IT Agility Versus Business Agility Summary This white paper discusses some of the good reasons why the delivery of BI reports and queries should be managed just like any other business process. Topics: Business Intelligence 0 comments		14-06-2010
The Return on Investment (ROI) of Data Modeling Summary The value of data modeling can be demonstrated as an overall savings in maintenance and development costs. Topics: Data Warehousing 0 comments		14-06-2010
Text Analytics Reveals New Insights in Stored Documents Summary Text analytics reveals new insights in stored documents, uncovering opportunities and risks in social media, call center logs and customer surveys. Topics: Analytics 0 comments		14-06-2010
Customer Centricity, Master Data and the 360-Degree View Summary When reviewing the popular literature on customer data integration and master data management, a frequently recurring business driver is the ability to establish a “360-degree view of the customer.” This concept has turned into the holy grail of comprehensive customer intelligence. This paper provides questions that should be considered and reviewed during any project designed to deliver a 360-degree view. By using these questions for preliminary guidance, one may clearly articulate where the business can derive value, determine performance metrics and thresholds, and improve the chances of success. The paper then explores how information sharing and identity resolution combine to show the connection between MDM and enterprise customer centricity. Topics: Information Quality (IQ), CRM, Data Quality, Data Warehousing, Master Data Management (MDM), Customer Data Integration 0 comments		06-05-2010
Data Quality and Cost Reduction Summary This paper by David Loshin of Knowledge Integrity reviews aspects of cost reduction and examines some typical financial accounting expense categories. Selecting some specific examples and assessing their reliance on high-quality data, Loshin looks at how data quality services can be applied to reduce expenses, and examines the potential for applying data quality management as a way to manage and reduce organizational expenses. Topics: Information Quality (IQ), Data Quality 0 comments		06-05-2010
De-Risking Data Migration: The Case for Data Quality Technology Summary This white paper by Dylan Jones provides practical advice that will help the reader understand the pivotal role data quality technology must play in a data migration. Jones describes five distinct implementations of data quality technology in detail, each one providing clear evidence for the need to - and the benefits of - adopting the right data quality approach in data migration projects. Topics: Data Warehousing, Data Quality, Information Quality (IQ), Data Migration, Data Management 0 comments		06-05-2010
Data Migration for Project Leaders Summary The project leader can play a critical role in ensuring a successful data migration. This guidebook by Dylan Jones of Data Quality Pro examines exactly what responsibilities and activities project leaders should fulfill and supplies details for these responsibilities, including sections on essential activities such as planning, forecasting, risk management, team selection, communication and collaboration. Topics: Data Warehousing, Information Management, Data Quality, Data Migration, Data Management 0 comments		06-05-2010
Lessons Learned: Survey of Financial Services Companies Uncovers Data Governance Trends Summary DataFlux conducted a survey to understand data management trends in the financial services industry. This white paper is based on that survey and examines how this industry is approaching managing its data, the breadth and depth of data governance in this sector, what motivates data management strategies, and what kind of rules the industry thinks should be introduced in the future to promote success. Topics: Governance, Information Management, Data Management 0 comments		06-05-2010
Finding an Upside in the Downturn with Data Quality Summary The current macroeconomic malaise means organizations in almost every sector are finding it tough. Although companies are relying even more on IT systems to run their businesses in a leaner and meaner fashion, new IT investments are invariably impacted as well. CIOs are left scratching their heads on how to sustain and fund important information management projects such as master data management (MDM) and data quality. This paper from Ovum, a leading research firm in technology, telecommunications and other business sectors, describes why a rigorous data quality program is now a business imperative rather than a luxury. Topics: Information Quality (IQ), Information Management, Data Quality, Master Data Management (MDM), Governance, Data Management 0 comments		06-05-2010
A Guide to the Value of Reliable Data in Insurance Summary How critical is reliable data to the insurance industry? Insurance companies must attract the right customers, price correctly, write the right business, decline high-risk business, mitigate risk and reserve correctly. They must also maintain positive cash flow, manage outstanding claims and get the best re-insurance deals – all the while minimizing operating expenses. If unreliable data is flowing through the organization, the impact on the core insurance operational and analytical processes can be catastrophic. This white paper from industry thought leader Mike Ferguson looks at the importance of reliable data to the insurance industry, focusing on the impact of poor data. He discusses how an enterprise data quality approach can help get you back control of your data. Topics: Information Quality (IQ), Data Quality, Data Warehousing, Enterprise Information Management (EIM), Data Management 0 comments		06-05-2010
A Guide to the Value of Reliable Data in Retail Banking Summary This paper by Mike Ferguson of Intelligent Business Strategies examines the impact of unreliable data on retail banks. Defining the requirements needed to guarantee data reliability in retail banking, it offers a practical approach to creating and governing that data, and shows how you can get started in making trusted data available in to help improve marketing, customer service, risk management, compliance and profitability. Topics: Information Quality (IQ), Information Management, Data Quality, Governance, Data Management 0 comments		06-05-2010

White Papers