The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality, […]
What Is Data Completeness and Why Is It Important?
Data completeness is an important aspect of Data Quality. Data Quality is a reference to how accurate and reliable the data is overall. Data completeness specifically focuses on missing data or how complete the data is, rather than concerns of inaccurate or duplicated data. A lack of data completeness is normally the result of information […]
5 Key Strategies for Making Data Visualization Accessible
“If I can’t picture it, I can’t understand it.” —Albert Einstein Research has found that 65% of the general population are visual learners, meaning they need to see information as images to understand it. The business world confirms this: Visualization is essential in driving success. Take, for instance, data visualization, or, the art of translating data into […]
The FAAR Framework for Consuming Insights from Data and Analytics
Faced with overwhelming amounts of data, organizations across the world are looking at leveraging data and analytics (D&A) to derive insights to increase revenue, reduce costs, and mitigate risks. McKinsey found that insight-driven companies report EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to Forrester, organizations that use data and insights […]
Four Perspectives on the Art of Data Analytics
As data science professionals, we are often viewed as people who draw conclusions based only on data and minimize other factors. This perception usually becomes contentious when the insights and evidence from the data are inconsistent with somebody else’s “hypothesis.” Or we are confused and maybe frustrated when “qualitative” analysis trumps quantitative analysis. The next time […]
Data Literacy Trends in 2024
Data literacy has become a critical skill in today’s technology-driven world. As we begin 2024, the importance of data literacy trends cannot be overstated. Organizations are recognizing that data is no longer just a byproduct of their operations but a valuable asset that can drive informed decision-making. Data novices are individuals who lack the skills […]
Dremio Partners with Carahsoft to Help Public Sector Organizations Harness Data Analytics
According to a new press release, Dremio and Carahsoft Technology Corp. have officially partnered, with Carahsoft serving as Dremio’s Master Government Aggregator®. This collaboration aims to offer Dremio’s comprehensive cloud and software portfolio to various public sector entities, including government, defense, intelligence, and education, through Carahsoft’s reseller partners and multiple government contracts such as NASA […]
Data Analytics Platforms: Features and Benefits
Data analytics platforms offer a collection of powerful tools that enable organizations to make sense of the vast amount of data they generate and collect. These platforms offer a range of capabilities, including data integration, data cleansing, predictive modeling, and real-time reporting. The platforms usually provide a comprehensive suite of tools and techniques for analyzing […]
Data Catalog, Semantic Layer, and Data Warehouse: The Three Key Pillars of Enterprise Analytics
Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse. But what exactly are these data and analytics tools […]
Data Visualization Tools
From social media interactions to online purchases, online activity leaves behind a trail of valuable information. However, this abundance of data presents a unique challenge for businesses and organizations: How can they make sense of this vast sea of information and use it to their advantage? This is where data analysis and data visualization tools […]