TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
Download this white paper to learn how to support new growth strategies and drive new revenue using eight important BI and analytics technologies.
Download this white paper to learn how the shift to business-led self-service analytics is significantly reordering the vendor landscape of business intelligence and analytics platforms.
Download this white paper to learn how to jump-start your big data initiative using Talend Big Data.
The big data and Hadoop paradigm shift has changed and disrupted how we derive business value from data, but the data integration tool landscape has lagged behind. This white paper evaluates two leading data integration vendors, Talend and Informatica, and benchmarks their performance against key differentiators.
This white paper presents the results of a Talend-sponsored online shopping survey and the factors that drive customers to abandon their shopping carts.
In many organizations, users are disengaging from the corporate business intelligence (BI) initiative. BI leaders need to take the right steps to regain their trust. This white paper describes what those steps are, along with how to implement the remedies that will increase engagement once again.
Data governance is the formulation of policy to optimize, secure, and leverage information as an enterprise asset by aligning the objectives of multiple functions. Data governance programs have traditionally been focused on people and process. In this whitepaper, we will discuss how key data governance capabilities are enabled by Oracle Enterprise Metadata Manager (OEMM) and Oracle Enterprise Data Quality (EDQ). This paper will introduce specific examples of how to leverage OEMM and EDQ tools within a well-defined data governance process and will also provide specific technical examples of how to deploy these solutions on Oracle and Intel® based engineered systems.