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Developing a Strategy to Democratize Data

The goal of building a strategy to democratize data is to allow all appropriate staff to access the organization’s data, regardless of their technical skills or job description. Previously, a researcher would have to submit a request to the IT department for the information they needed. For example, if a production manager wanted a mid-month […]

Optimizing Data Quality to Navigate Economic Turbulence 

Sustained economic volatility and a global recession have forced enterprise leaders to make difficult decisions. Some are reducing headcount and scaling down operational overhead to become more agile, while others have implemented cost-saving measures, such as cutting tech spend, to improve financial flexibility. These initiatives may provide companies with short-term reprieve during times of disruption, […]

How to Become an Enterprise Architect

The role of enterprise architect ranked as Glassdoor’s best job in America in 2022 in terms of salary, job satisfaction, and available positions. Yet enterprise architecture is among the most routinely misunderstood professions in the corporate world, straddling the divide between the business and IT. What does an enterprise architect do every day, and what skills and […]

How Data Integrity Can Maximize Business Value

The last few years have demonstrated how critical it is for businesses to maintain agility and make fast, confident decisions to stay ahead. The resulting economic uncertainty and growth of industry-wide trends, including ESG, cloud migration, and the rise of artificial intelligence and machine learning programs – such as OpenAI’s newly launched GPT-4 model and […]

A Powerful Pair: Modern Data Warehouses and Machine Learning

Artificial intelligence (AI) technologies like machine learning (ML) have changed how we handle and process data. However, AI adoption isn’t simple. Most companies utilize AI only for the tiniest fraction of their data because scaling AI is challenging. Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […]

Data Strategy 101

Organizations that treat data as a business asset look for ways to transform the entire business ecosystem into a data-driven entity. Yet, aligning business goals with data goals is neither easy nor straightforward; a systematic and well-defined Data Strategy must be conceived and developed to take the data-enabled business practices forward. In this Data Strategy 101 […]

Data Strategy Without Data Literacy? Like Boarding the Titanic!

Data literacy is a hot topic with today’s data leaders, and many have put budget aside for data literacy training this year, for a good reason. Data literacy is about improving an organization’s or individual’s ability to make decisions using data. And although training goes some way to support this, it is by no means the silver bullet on its own. A true, all-encompassing data literacy […]

What Are Data Quality Dimensions?

Data Quality dimensions allow users to measure the quality of the data they have on hand and determine whether it can be used for business or if any further improvements must be made. Without using Data Quality (DQ) dimensions, it can be hard to gauge the value and usefulness of the data. These dimensions, or characteristics, need to be […]