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Enterprise Data Strategies, Getting It Right
- January 22, 2026
- Posted by: LizDiamond
- Category: Big Data, Data Architecture, Data Warehouse
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Every company has data. Very few have a strategy that actually works when it meets reality. After 25+ years of enterprise implementations, the difference almost never comes down to technology — it comes down to strategy. Learn the four pillars that separate platforms built to last from very expensive shelfware.
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Modern Data Platforms: Snowflake-to-Power BI
- January 21, 2026
- Posted by: LizDiamond
- Category: Business Intelligence, Data Analytics, Data Architecture, Data Science, Data Warehouse, Innovation
The gap between operational data and trusted analytics isn’t a technology problem — it’s an architecture problem. Learn how Snowflake, dbt, and Power BI work together across a governed modern data platform lifecycle, why the semantic layer is the most commonly skipped and most consequential step, and the mistakes that derail even well-funded implementations before they ever deliver value.
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Data Science and Data Mining Initiatives
- June 2, 2025
- Posted by: LizDiamond
- Category: Business Intelligence, Data Analytics, Data Science
Many businesses—large and small—are full of forward-thinking ideas to improve, grow, and innovate. Yet far too often, they overlook one of their most valuable assets: their data. Buried in daily operations, transactions, and customer interactions lies a powerful knowledge base waiting to be tapped.
This article introduces the fundamentals of Data Science (DS) and Data Mining (DM), outlines the core project lifecycle, and shows how your organization can turn its data assets into strategic insight—positioning your company to thrive in the next-generation marketplace.
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Providing Innovative MDM Solutions!
- May 28, 2025
- Posted by: LizDiamond
- Category: Data Architecture, Master Data Management
Most organizations have customer data — but can they trust it? Duplicate records, fragmented systems, and inconsistent definitions silently undermine every report, dashboard, and AI model in the business. Learn how Analytical MDM and dimensional modeling create a single trusted view of your customers and products — and why clean master data is the foundation every analytics platform depends on.
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Building your Data Lake, a Strategic Approach
- May 24, 2025
- Posted by: LizDiamond
- Category: Big Data, Data Architecture, Data Warehouse, Innovation
A data lake promises flexible, scalable storage for massive volumes of data — and it can deliver. But most implementations quietly turn into data swamps where nobody can find anything and data scientists spend 80% of their time cleaning instead of analyzing. Learn what separates a well-governed data lake from an expensive hard drive, and how it fits into a modern analytics architecture.
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A digital prescription for the pharma industry
- January 22, 2016
- Posted by: LizDiamond
- Category: Data Warehouse, Uncategorized
Supported by a robust sales force and tight cost controls, Pharm Ltd. experienced sustained double-digit growth over a number of years, only to find that their supply chain struggled to keep pace. In particular, the initial state of the company’s sales.
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Three Social Media Hacks for the Busy Entrepreneur
- December 25, 2015
- Posted by: LizDiamond
- Category: Uncategorized
The teams focused their efforts on a few of the highest-value S&OP levers in order to review the current planning process, identify gaps in the planning infrastructure and analytically understand demand and supply variability.
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Stick with Your Concept but Do Your Homework
- December 25, 2015
- Posted by: LizDiamond
- Category: Big Data, Uncategorized
With hundreds of medications in the market, Pharm Ltd. needed a proper method to predict and manage their inventory. Using a mean absolute percentage analysis (MAPE), the teams defined appropriate levels for raw materials and finished products by mapping.
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Narrow Your Focus to Prevent Overanalysis
- December 14, 2015
- Posted by: LizDiamond
- Category: Master Data Management, Uncategorized
What is this highly valuable asset? Its own people. Says Morgan Fraud, the author of The Thinking Corporation, “Given that we are all capable of contributing new ideas, the question becomes how do you successfully generate, capture, process and implement ideas?”
