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RESEARCH & RESOURCES

Publications


Checklist Intelligent Integration Hub

TDWI Checklist Report | The Intelligent Integration Hub: Managing Modern Data with Modern Best Practices

November 29, 2017

For organizations struggling to modernize their DM efforts, the intelligent integration hub provides a flexible and scalable foundation. This TDWI report examines the attributes and use cases of the intelligent integration hub.


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TDWI Checklist Report | Six Strategies for Advancing Customer Knowledge with Big Data Analytics

September 29, 2017

It is a competitive advantage to know more about your customers and to apply this knowledge to marketing, sales, support, and the development of products and services. By gathering together the assortment of big data available to them and applying advanced analytics and data science techniques, organizations can gain a detailed, contextual understanding of customers’ paths to purchase, what types of marketing strategies are most effective, and how customers influence -- and are influenced by -- other customers.


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TDWI Checklist Report | Best Practices for Maximizing the Potential of Mobile BI and Analytics

September 29, 2017

Mobile computing offers an unusual opportunity for organizations to innovate with new ways of improving employee productivity, partner and customer relationships, sales and service, and business transactions.


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TDWI Checklist Report | Cloud Data Quality Tool Considerations

September 26, 2017

The consistent demand for data quality software and new cloud implementation options indicates that more organizations are considering whether to use the cloud to introduce new data quality software, increase their data quality tool users, save on infrastructure costs, minimize the time to rollout of the tools, and build trust in their enterprise’s information assets—the ultimate goal of data quality efforts.


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TDWI Checklist Report | Modern Data Integration and Data Quality Practices for Digital Business Requirements

August 2, 2017

Data integration and data quality are technical disciplines, but there’s more required than technology. DI/DQ must also coordinate with and align to business processes and goals. The assumption is that businesspeople should be involved in defining quality metrics, standards, and process rules. This report will drill down into the modern best practices associated with emerging data sources, data platforms, and business use cases.


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TDWI Checklist Report | Six Strategies for Enabling Users to Advance Faster with BI and Analytics

July 27, 2017

All organizations, no matter how big their budget, must overcome barriers in order to realize value from data faster. Those that have historically experienced centralized, IT-centric BI implementations must transition to flexible environments that embrace the increased use of self-service technologies.


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TDWI Checklist Report | Using Hadoop for Data Warehouse Optimization

June 29, 2017

Augmenting the conventional EDW design with Hadoop and Hive can help optimize your EDW by expanding usability, improving performance, improving results, and reducing overall costs.


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