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Business Intelligence Tools Reports
 
BI, Analytics, and the Cloud: 2016 Strategies for Business Agility
sponsored by Cloudera
WHITE PAPER: This TWDI Best Practices Report examines organizations' experiences with, and plans for, cloud BI and analytics. Uncover what needs to be considered for a cloud migration, and 10 recommendations for successful implementation.
Posted: 07 Nov 2016 | Published: 07 Nov 2016

Cloudera

Moving Your BI Strategy To The Cloud? What You Should Know
sponsored by Birst
WEBCAST: According to Forrester survey results, 29% of respondents planned to or are currently using cloud services to improve BI capabilities. In this webinar, Martha Bennett, Principal Analyst of BI & Analytics, Forrester Research, discusses cloud BI platforms. Learn to connect your BI to grow your analytics, improve collaboration, and more.
Posted: 15 Sep 2016 | Premiered: Sep 15, 2016

Birst

Best Practices Report: Using BI & Visual Analytics To Empower the Business User
sponsored by SAS
RESEARCH CONTENT: Business users today want to move past spreadsheets and canned BI reporting to gain a richer, more personalized experience with data. This 43-page best practices report by TDWI examines experiences with BI, visual analytics, and visual data discovery to reveal how companies can make users more productive and improve collaboration.
Posted: 01 Feb 2017 | Published: 01 Feb 2017

SAS

5 Principles For Successfully Integrating SaaS Applications
sponsored by TIBCO Software Inc.
WHITE PAPER: The use of SaaS applications within a company is the new normal. But in order to reach true success with SaaS applications, they need the proper data in their systems – they need to be integrated correctly, or else you risk poor adoption by business users. In this white paper, discover 5 core keys for successfully integrating SaaS applications.
Posted: 23 Feb 2017 | Published: 19 Jul 2016

TIBCO Software Inc.

Drive Deeper Insights across Data with SQL Server 2016
sponsored by Microsoft
WHITE PAPER: Explore how SQL Server 2016 can help drive deeper insights into big data from both relational and non-relational sources, in the cloud and on-premise. Discover how SQL Server 2016 helps you store data in more formats at scale, open up data access, provide predictive analytics, and share insights on-premise, via the web, and through mobile devices.
Posted: 20 Feb 2017 | Published: 30 Jun 2016

Microsoft

Pulse E-zine: Vol. #4, No. #3
sponsored by SearchHealthIT.com
EZINE: In this issue of Pulse, we explore the current role of data analytics in value-based reimbursement efforts and its future responsibility within population health management and precision medicine.
Posted: 29 Aug 2016 | Published: 26 Aug 2016

SearchHealthIT.com

Deliver Better Digital Customer Experiences with Software Analytics
sponsored by New Relic
EBOOK: To drive down into the digital customer experience, explore the use of an analytics platform that delivers end-to-end visibility into the performance of your website and apps, and the experiences they deliver. Discover how to approach customer experience management like a team sport and uncover a 4 step method for improving customer experiences.
Posted: 25 Jan 2017 | Published: 31 Oct 2016

New Relic

IDC: Worldwide Big Data and Analytics Predictions
sponsored by Cloudera
WHITE PAPER: This IDC study presents several trends that affected BDA adoption in 2016. Learn 10 key predictions (did they come true?) and the 6 drivers that lead to them.
Posted: 31 Jan 2017 | Published: 30 Nov 2015

Cloudera

Embrace Self-Service Data Preparation and Analytics Tools to Avoid Data Chaos
sponsored by Birst
RESOURCE: In this Gartner resource, discover the impact that the current trends in BI tools are going to have on the market, as well as some recommendations for how industry leaders can adapt to these changes. Inside, learn some best practices for fostering customer trust in your data, 4 categories of data preparation, and more.
Posted: 11 Jan 2017 | Published: 24 May 2016

Birst

Leveraging Predictive Analytics to Foresee Future Purchasing Behaviors
sponsored by Intel Corporation
CASE STUDY: This Hadoop-big data case study explores how a major supplier of household electronic appliances strategically approached their big data and predictive analytics needs. Find out how they created secure predictive models to answer critical business questions about buyer behavior so that they could identify the likelihood of future purchases.
Posted: 26 Aug 2016 | Published: 26 Aug 2016

Intel Corporation
 
 
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