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Navigating the Amazon Q Ecosystem: Amazon Q Business vs. Amazon Q in QuickSight

The introduction of Amazon Q features a powerful generative artificial intelligence (AI) assistant designed to analyze business trends, assist in software development, and maximize the potential of a company’s internal data. Amazon Q connects…

Business Analytics

Fixing Requirements: It’s Not What You Build, It’s Why

We're often asked how "our methodology" helps drive better user adoption. The key to user adoption is satisfying users’ needs, within the context of their environment. This sounds obvious, but it’s surprisingly easy to miss the mark. And…

Data Management, Featured

Implementing a Successful Master Data Management Solution

Any discussion of Master Data Management automatically includes a discussion of Data Governance. The two go hand in hand. Successful MDM implementations require understanding data ownership, stewardship, and security, as well as determining…

Uncategorized

End the Fighting (Over Disconnected Planning Models)

I hope no fists are flying at your office over budgeting and forecasting, however conflict is likely to occur. In this case, opinions and facts from different stakeholders can help. At the same time, impactful decisions at organizations that…

Business Analytics, Technology Spotlight

3 Ways to Modernize Your Cognos Environment

The last several years have represented an interesting journey for organizations and teams leveraging Cognos for analytics. During that time, visual data discovery tools have made a significant impact. However, as of late, we have seen the pendulum…

Data Management

Five Essential Capabilities: Elastic Data Processing & Storage

This is part five in our five part series on the essential capabilities of the competitive data-driven enterprise. Over the last 20 years of doing business we have seen a number of different analytical data storage and query concepts fall in…

Data Management

Five Essential Capabilities: Master Data Management

This is part four in our five part series on the essential capabilities of the competitive data-driven enterprise. Businesses have been deploying enterprise data governance (defining what the data should be) and master data management (ensuring…

Data Science

Five Essential Capabilities: Automated Machine Learning

This is part three in our five part series on the essential capabilities of the competitive data-driven enterprise. Most business analysts will reach for their favorite data visualization tool when it comes time to perform driver and correlation…

Data Management

Five Essential Capabilities: Data Wrangling

This is part two in our five part series on the essential capabilities of the competitive data-driven enterprise. For decades, data integration and modeling have been done in either of two likely places: The enterprise ETL or Data Warehouse…

Data Management

Five Essential Capabilities: The Data Catalog

This is part one in our five part series on the essential capabilities of the competitive data-driven enterprise. The most common form of data-enabled business problem solving begins with a hypothesis around business drivers and relationships…

Business Analytics, Data Management, Data Science, Featured

Five Essential Capabilities of the Competitive Data-Driven Enterprise

If your organization is seeking to better manage its information as a corporate asset that is to be valued and capitalized, you’re likely focused on implementing programs that will catalyze measurable business results from mountains of business…

Ironside is a data, analytics, and AI consulting and technology implementation company. We work with clients to understand their business objectives and day-to-day challenges, then employ our deep expertise in data strategy, architecture and engineering, integration, business intelligence, AI, and generative AI. We create technical solutions and practical approaches designed to drive smarter, data-driven decisions across a company and help it move further and faster toward its business goals.

Welcome to our blog.

Navigating the Amazon Q Ecosystem: Amazon Q Business vs. Amazon Q in QuickSight

Fixing Requirements: It’s Not What You Build, It’s Why

Implementing a Successful Master Data Management Solution

End the Fighting (Over Disconnected Planning Models)

3 Ways to Modernize Your Cognos Environment

Five Essential Capabilities: Elastic Data Processing & Storage

Five Essential Capabilities: Master Data Management

Five Essential Capabilities: Automated Machine Learning

Five Essential Capabilities: Data Wrangling

Five Essential Capabilities: The Data Catalog

Five Essential Capabilities of the Competitive Data-Driven Enterprise

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