TDWI Upside - Where Data Means Business

Contributor: William McKnight


McKnight Consulting Group is led by William McKnight. He serves as strategist, lead enterprise information architect, and program manager for sites worldwide utilizing the disciplines of data warehousing, master data management, business intelligence, and big data. Many of his clients have gone public with their success stories. McKnight has published hundreds of articles and white papers and given hundreds of international keynotes and public seminars. His teams’ implementations from both IT and consultant positions have won awards for best practices. William is a former IT VP of a Fortune 50 company and a former engineer of DB2 at IBM, and holds an MBA. He is author of the book Information Management: Strategies for Gaining a Competitive Advantage with Data.

  


All articles by William McKnight


Multiplying Your Analytics Insights

In improving analytics, we often focus on obtaining more powerful platforms and bigger data. We neglect the second half of the equation: the abilities of our business users.

3 Major Decisions When Choosing Your Data Platform

The many possibilities for data platforms create headaches for the data architects, but this multi-faceted decision can be broken down into three decisions.

Cross-Border Data Restrictions and Your Cloud Strategy

Companies with customers, supply chains, partners, and offices in multiple countries must understand how cross-border data restrictions affect cloud computing policy.

Data Science for Everyone

Statistical models and machine learning algorithms are often mysterious and confusing for average business and data professionals. However, even the most math-adverse can reach some understanding.

Time to Federate Enterprise Resource Planning

Future businesses will be defined by new efficiencies, strategies, and business models created with data-driven knowledge. If companies wish to maintain traditional on-premises ERP solutions, they will face costs and compromises.

Strategies for Data Platform Consolidation

Data platforms must play their real, architected roles in your environment. Platform consolidation can save you money and headaches.

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