Data Quality Research
-
Deliver Dynamic Efficiency with Power Systems Cloud Solutions
Sponsored by: IBM.This webcast takes an in-depth look at IBM Power Systems as an advanced virtualization platform for streamlined cloud deployment. Learn more about the RAS features scalability and performance capabilities.
-
Apache Hadoop Patterns of Use
Sponsored by: HortonworksWhen it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
-
Kick-Starting Your Data Quality Program
Sponsored by: TechTarget Data ManagementThis handbook offers tips and strategies for balancing manual and automated data quality processes, building a business case for purchasing data quality tools and creating an effective data quality program.
-
Secrets to a Successful CRM Technology Upgrade
Sponsored by: TechTarget Customer ExperienceUncover tips to ensure CRM data migrations go smoothly, and explore how proper planning, data profiling, and data quality checks can help you achieve a cost-effective CRM upgrade.
-
Customer case Heineken Netherlands
Sponsored by: Every AngleCheck out this case study to learn how Heineken implemented an out-of-the-box self-service application to improve data analytics and business intelligence (BI) from SAP. Read on to discover how Heineken achieved easier access to stock overview data, service levels, lead times in the supply chain, and other benefits.
-
Graph Databases
Sponsored by: Neo TechnologyManaging data that's interconnected is a common goal for businesses today, especially with the proliferation of social media data available. As such, many companies are turning to graph databases for help. Check out this comprehensive e-book to discover how graph databases can help you manage and query highly connected data.
-
Big Data Analytics
Sponsored by: KognitioBig data analytics can help you understand the current state of your business, track customer behavior, and take advantage of new opportunities. This comprehensive TDWI best practices report gives you in-depth insights into all the important aspects of big data analytics, so that you have a solid foundation for implementing an analytics plan.
-
CIO Decisions E-Zine: Turning ‘Dirty Data’ into Business Insights for your Customers
Sponsored by: TechTarget CIOIn this issue of CIO Decisions e-zine, we examine how CIOs can lead the way in turning dirty data into business insights for their customers.
-
Best Practices for Scaling a Big Data Analytics Project
Sponsored by: Information BuildersBig data analytics can be overwhelming for those just beginning, but it's fortunate that many traditional data management best practices are also applicable to big data. In this expert e-guide, discover which best practices easily translate to your big data project, and get advice on how to start, scale, and succeed with your analytics initiative.
-
Banca Carige Video
Sponsored by: IBM.In this brief video, discover how Banca Carige, a leading bank in Italy with over 700 branches, chose and implemented a large-scale data analytics platform in order to enable real-time analytics in all of its locations, improving business performance and individual client services.
-
Expert E-Book: Data Quality Throughout Your Oracle Evironment
Sponsored by: Oracle CorporationThis expert e-book outlines best practices for ensuring data quality throughout your Oracle environment. Inside, compare options for handling both customer and product data, and learn the steps you need to take on you data quality initiative.
-
Mongo DB Operations Best Practices
Sponsored by: MongoDB, Inc.Access this informative white paper to learn the ins and outs of Mongo DB, an open-source document-based database, and discover best practices for setup, configuration, scaling, data backup, and more.
-
Denodo Platform 5.0
Sponsored by: Denodo TechnologiesToday's information landscape includes a variety of data sources and unlike forms of data inundating your business every second. Turn to this resource to learn about how data virtualization can make disparate data sources appear as if they are in one place, so that you can easily access your information and make better, faster business decisions.
-
'Big Data' Will Have a Big Impact on MDM Strategy
Sponsored by: IBMIn today's fast-paced tech environment, popular trends such as social media, cloud computing, and big data will all have a huge impact on MDM, and you need to be prepared for how to deal with the changes. Check out this expert e-guide to discover insights on leveraging MDM tools and strategies to tackle big data and other BI trends.
-
Big Data Analytics - Your Project Reality: The Good, the Bad, and the Ugly
Sponsored by: IBMBig data analytics seems to be all the rage in the IT and business worlds, with plenty of products out there to help you with your big data projects. However, it's not as simple as just buying a piece of technology. Read this expert e-guide to learn best and worst practices for big data analytics projects, and questions to ask before beginning.
-
Extracting Business Value from Unstructured Data
Sponsored by: HP & Intel®Though the value of extracting intelligence from high-volume unstructured data is attractive, attempting to do so without a strategy could be disastrous for your company. This expert-created e-guide illustrates how companies can successfully extract and analyze data to make better business decisions and reap the most benefits.
-
Data accuracy and the bottom line: Making the case for proactive data quality
Sponsored by: MelissaThis exclusive guide outlines key data quality challenges, the business ramifications of poor data quality, and steps to implementing a forward-thinking data quality approach.
-
Data Quality Process Needs All Hands on Deck
Sponsored by: IBM and SoftchoiceRead this expert e-guide to discover best practices for making the operational changes and cultural shifts that are necessary to ensure quality data is being used throughout your enterprise.
-
Solution Spotlight: Data Quality, IT, and The Business
Sponsored by: IBM and SoftchoiceThe consequences of poor quality data can be catastrophic – for BergerABAM, an engineering and construction company, the result of bad data was a $1 million deficit. Read this expert guide to learn why businesses today need data quality management policies and find out how to craft an effective initiative.
-
Mission impossible? Data governance process takes on ‘big data’
Sponsored by: SAP America, Inc.The importance of governing big data environments is just starting to take hold, and there are few prescriptions for how to do it right, let alone cost-effectively. This e-guide sheds light on the data governance process for big data and offers new insights from leading data management experts.
-
Make communication, purpose priorities in a data governance program
Sponsored by: SAP America, Inc.Ensuring effective data governance requires the support and ongoing communication of between key business units and department stakeholders. Read this expert e-guide to learn the critical success factors for designing a successful data governance strategy.
-
Connecting the dots between big data and master data management
Sponsored by: SAP America, Inc.In this expert e-guide MDM Institute founder and chief research officer, Aaron Zornes, sheds light on the relationship between big data and MDM. Read on to learn the business and technical implications of combining MDM and big data efforts in the real world.
-
Data stewardship program: Quality booster, but a hard step for many
Sponsored by: SAP America, Inc.Data stewards are central to the success of data governance programs. Without data stewards to facilitate the communications about data issues between IT and the business side, diverging data definitions, policies and quality controls can easily get out of control. This e-guide offers tips and best practices.
-
Leveling the playing field: How companies use data for competitive advantage
Sponsored by: SAP America, Inc.Data is a critical asset to the competitiveness of your organization, yet only 27% of people in a recent study said their companies do a better job using information than their competitors. Read this study by the Economist Intelligence Unit to find best practices about developing data initiatives to gain a competitive advantage.
-
Information Governance Strategy: Developing a Roadmap for Managing Corporate Info
Sponsored by: TechTarget Content ManagementMost organizations are looking for ways to better manage their structured and unstructured data – and information governance has the potential to do so. But implementing an effective program can be tricky. Review this e-book to gain practical tips on how to implement an information governance program, learn 5 pitfalls to avoid, and more.
