data warehousing

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By: IBM     Published Date: Sep 18, 2008
BI and data warehousing have undergone significant changes in the past decade. With the advent of operational BI came major pressures on the BI environment, involving the need to support operational decision-making. This white paper explores these pressures and how to deal with them by creating a dynamic, future-proof infrastructure.
Tags : ibm, ibm mmdg, business intelligence, infrastructure, data warehousing
     IBM
By: IBM     Published Date: Dec 30, 2008
Don’t just dump your data - get the most value from it, and see how IBM is redefining what a warehouse can deliver.  IBM DB2 Warehouse is a dynamic, integrated data warehousing solution that delivers all the functions required to deploy, maintain, and evolve an intelligent data warehouse. It makes your data active and available to all the users you need to reach. Watch this video to hear more.
Tags : ibm, integrated data warehousing, intelligent data warehouse, dwe, data management
     IBM
By: IBM     Published Date: Dec 30, 2008
Most long-standing data warehouses are designed to support a relatively small number of users who access information to support strategic decisions, financial planning and the production of standard reports that track performance. Today, many more users need to access information in context and on demand so that critical functions are optimized to run efficiently. Learn how to create a roadmap for a truly dynamic warehousing infrastructure, and move ahead of your competition with your business intelligence system
Tags : warehousing infrastructure, ibm, business intelligence, data warehouse, dynamic warehousing, data warehouse model, master data, data management
     IBM
By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's retail environment. From customer data to product placement statistics, retail organizations are constantly juggling information. As the sheer amount of data continues to grow, it becomes increasingly difficult to manage. Not only does data come in many different forms—such as reports, memos and e-mails—but often it’s scattered across multiple repositories.
Tags : ibm, ibm balanced warehouses, ibm master data management server, ibm omnifind, ibm industry data models, dynamic warehousing, retail buyer’s guide, leveraging data, customer data, product placement statistics, data management, scalable system, customer relationships, cross-sell, up-sell opportunities, db2 warehouse, oltp-based transactional data server, information management software, enterprise applications
     IBM
By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
Tags : ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities, information on demand framework, ibm db2 warehouse, ibm master data management server, ibm omnifind, ibm industry data models, ibm balanced warehouses, oltp-based transactional data, enterprise applications
     IBM
By: IBM     Published Date: Oct 14, 2009
Discover the unique support for data warehousing and business intelligence offered by the IBM DB2 portfolio. This white paper shows how an IBM System z server, integrated with the IBM DB2 family of solutions, can help you meet requirements for data warehousing and business intelligence.
Tags : data warehousing, ibm, business intelligence, total cost of ownership, tco, integrated facility for linux, eal5, workload consolidation, scalability, disaster recovery, workload management, operational data stores
     IBM
By: IBM     Published Date: Jun 22, 2010
Learn how IBM's DB2 portfolio can help transform your data center. Download this free white paper from IBM to learn more!
Tags : data warehousing, db2, system z, ibm, business intelligence
     IBM
By: IBM     Published Date: Jun 22, 2010
Download this free IBM white paper to learn how to better manage your data center with System z.
Tags : tivoli service management center, data warehousing, system z, middleware, ibm, automation
     IBM
By: IBM     Published Date: Nov 09, 2012
The objective of this paper is to give you an update on the latest functions, features and benefits of IBM DB2 for z/OS. This paper also features an introduction to DB2 10 by Roger Miller, which highlights the main functions, features and more.
Tags : performance availability, application enablement, data warehousing, tco, total cost of ownership, business analytics, enterprise applications, data management, business technology
     IBM
By: IBM     Published Date: Sep 27, 2013
With so much talk about big data and the possibilities it can offer, the truth behind what big data is—and what it can do for businesses—can be hard to determine. However, according to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk is not hard to see, provided that organizations are willing to return to the principles of good data management processes. According to Dr. Devlin’s white paper “The Big Data Zoo—Taming the Beasts”, data is still data, whether big or small. It needs to be managed effectively if organizations want to be gain value from it. Although big data may present special challenges for IT organizations, the principles of data management haven’t changed.
Tags : big data, data management, data warehousing, data analysis, platform integration, it management, enterprise applications, platforms, business technology
     IBM
By: IBM     Published Date: Feb 10, 2014
The closer your organization gets to your customers, the more successful it will be. Learn how to take customer relationships to a new level of intimacy using a combination of business intelligence and predictive analytics software.
Tags : ibm, king fish media, business analytics, insights, business intelligence software, analytics quotient, roi, predictive analytics, customer behavior, customer intimacy, data warehousing, it management, business technology
     IBM
By: IBM     Published Date: Feb 10, 2014
Customer Intimacy has become an essential driver for company success.In this white paper, you’ll learn how customer intimacy can be implemented at your organization in five practical steps.
Tags : ibm, business analytics, customer analytics, crm, customer service, customer intimacy, cem, enterprise feedback management, data warehousing, insights, predictive analytics, performance management, it management, business technology
     IBM
By: IBM     Published Date: Feb 10, 2014
Working with BrightStar Partners, an Avnet Services company, and IBM, the PDZA team has developed a new analytics solution that combines real-time weather data with ticket sales and attendance information to help forecast visitor numbers much more accurately than ever before.
Tags : ibm, brightstar, business analytics, software, ibm cognos business intelligence, data management, data warehousing, operational efficiency, customer service, insights, data delivery, marketing, customer analytics, mobile solutions, email, social media, software development, it management, business technology
     IBM
By: IBM     Published Date: Apr 16, 2014
Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities
Tags : ibm, data warehouse, warehouse environment, speed, simplicity, affordibility, db2 with blu, acceleration, data warehousing, data system, data storage, infrastructure
     IBM
By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
Tags : data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management, data center
     IBM
By: IBM     Published Date: Jun 19, 2014
Download this ebook to learn the requirements for delivering trusted information to a modern data warehouse.
Tags : ibm, big data, data warehousing, data, best practices
     IBM
By: IBM     Published Date: Sep 15, 2014
Download this ebook to learn the requirements for delivering trusted information to a modern data warehouse and the guiding principles for trusted information in next generation data warehouse environments.
Tags : ibm, data warehouse, data warehousing, hadoop, trusted data, data
     IBM
By: IBM     Published Date: Nov 13, 2014
This paper focuses on the benefits of a queryable data store and big data technologies available to support data warehouse modernization. Read the paper to understand how data can be stored and optimized with Hadoop.
Tags : ibm, ibm infosphere, big data, hadoop, big sql, data warehousing
     IBM
By: IBM     Published Date: Nov 16, 2015
The market offers an array of choices to organizations planning new data warehouses to manage large and varied data sets. Most vendors emphasize the speed of their products, but few address the real need: to increase speed efficiently, which reduces complexity and cost by simplifying data warehousing.
Tags : ibm, organization, puredata, analytics, research, data warehouse, knowledge management, data management, business technology
     IBM
By: IBM     Published Date: Jan 13, 2016
By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.
Tags : ibm, data, infosphere, server, data warehousing, enterprise applications, data management, business technology
     IBM
By: IBM     Published Date: Apr 18, 2016
By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.
Tags : ibm, big data, ibm infosphere, information empowerment, data integration, data management
     IBM
By: IBM     Published Date: May 16, 2016
Our objective in this Checklist Report is to share best practices that will position the reader to take advantage of a cloud-based data warehousing solution.
Tags : ibm, tdwi, checklist report, data warehousing, cloud, analytics, analytic architecture, warehousing, data management
     IBM
By: IBM     Published Date: Jul 05, 2016
Cloud-based data warehousing as-a-service, built for analytics
Tags : ibm, dashdb, data, analytics, data warehouse, cloud, analytics, business insights, knowledge management, enterprise applications, data management, business technology, data center
     IBM
By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
Tags : 
     IBM
By: IBM     Published Date: Apr 18, 2017
Learn from this TDWI paper how right-sized information governance can improve the success of data warehousing or big data analytics initiatives, and how a chief data officer can help organizations to appreciate the value of data and its importance to their decisions and operations.
Tags : system integration, data governance, data optimization, data efficiency, data currency, data lineage, data security, data integration
     IBM
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