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Search Results for ‘data analytics’

7 Key Steps To Build a Data Team From Scratch

  Despite the continuous hype around data analytics and the rapid acceleration of data technologies such as machine learning (ML) and artificial intelligence (AI), most companies are lagging behind with low data capabilities and no in-house data team in place. These companies have their data either fully unleveraged or marginally analyzed by executives on the […]

Data Management Best Practices: 4 Fundamental Tips to Get Started

You’ve probably heard tech buzzwords like data-driven decision making, advanced analytics, “artificial intelligence (AI),  and so on. The similarity between those terms is that they all require data. There is a famous quote in the computer science field — “garbage in, garbage out” — and it is a wonderful example of how poor data leads […]

6 Key Data Quality Dimensions: Insights and Practical Application

One of the most common challenges faced by professionals in working with key performance indicators (KPIs) relates to data. They grapple with collecting and analyzing data to establish targets accurately, as indicated by 42% of respondents in The KPI Institute’s State of Strategy Management Practice 2023 Report.  This is particularly important as the collected data is […]

Ask Our Experts: Bridging the Gap Between Data Teams and Non-technical Stakeholders

A: Bridging the gap between data teams and non-technical stakeholders should be a multi-way effort.  From the technical side, data analysts first have to be aware of business needs and then adopt communication best practices. Insights should be delivered in the plain language of stakeholders, eliminating technical jargon and providing business context. Data storytelling techniques […]

How Data-Ink Ratio Imposed Minimalism on Data Visualization

In 1983, American professor of statistics and computer science Edward Tufte introduced the concept of data-ink ratio in his famous book, “The Visual Display of Quantitative Information.” Data-ink ratio is a pioneering disciplinary theory in data visualization that has been highly influential in recommended practices and teachings, with its excellency reflecting a minimalistic style of […]

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