TDWI Articles


How Do You Make Decisions? (Part 1 of 4)

Is decision making really a purely rational process? If not, what is the importance of business intelligence?

Data Digest: IoT Standards, Choosing Open Source Solutions, and Defining Value in Open Source

Why open source standards are critical to the spread of IoT, the risks and benefits of adding open source solutions to your project, and why open source has become pervasive in modern technology.

Upside Briefing: FICO

Decision management provides a way for organizations to clarify how their decisions are made and structured. We offer Upside's first impression of FICO's decision management tools.

Data Digest: Data Security Threats, Big Data Systems, and Asking Questions of Big Data

Read about the 5 biggest data security threats, why simplifying your big data solution will help your BI team, and how to start with a question for the best big data insights.

Are Data Relationships the Key to Love (and Business) Connections?

Online dating firms excel at managing data at scale and in real time, and their secret is a technology you need to have in your armory.

Data Digest: Using Social Media Data, Analytics in the Cloud, and the Benefits of Self-Service BI

Learn how to use social media data to improve customer acquisition, why big data analytics is moving to the cloud, and why successful BI programs embrace self-service BI.

Three Ways to Revitalize Your Enterprise Data Warehouse

Enterprise data warehouses may not be the hottest thing on the radar today, but they can still thrive in your organization, and even drive improvement!

Data Stories: Ships at Sea, Economic Recovery, and Scales for Abstract Data

Visualizations are a great way to help users understand vast amounts of data. View two vast data sets created by economic forces and learn more about creating your own visualizations.

Data Digest: Operational Definitions, Planning for Data Scientists, and Getting Started with Data

In today’s articles, learn why you need to give your data team operational definitions for success, how to make a clear plan before hiring a data scientist, and how small businesses can get started with analytics.

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