4 Key Reasons to Build a Data Culture

Understanding the importance of data culture requires recognizing its pivotal role in shaping how organizations operate and innovate. A strong data culture instills a mindset where decisions are driven by data, fostering an environment that values evidence over intuition. This cultural shift enables organizations to harness the full potential of their data assets, leading to…

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The Future of Data Literacy

There was a time when only elite, tech-savvy staff in an organization understood and felt qualified to discuss data-enabled business decisions. These individuals often possessed advanced academic degrees in data science, data engineering, statistics, operations research, and other allied fields and did not speak the language of the ordinary business staff. As a result, there…

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Self-Service Analytics: Pros and Cons

Self-service analytics empowers the non-technical users in an organization. Traditionally, data analysis was the domain of specialized data scientists or IT professionals with skills to manipulate and interpret complex datasets. In self-service analytics, user-friendly tools enable ordinary business users to conduct data analyses without expert knowledge or support.   These tools typically feature user-friendly interfaces, drag-and-drop functionalities, and pre-built templates…

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Data Storytelling 101

Humans are inherently wired for stories. Stories captivate our imaginations, simplify complexity, and provide context – and turn abstract figures into relatable scenarios. Data storytelling takes advantage of this human passion.  In data storytelling, the message is conveyed through engaging narratives, making the data insights inspire a high level of trust among the audience. It empowers stakeholders…

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Evaluating Enterprise Data Literacy

Any organization that aims toward complete digital transformation must move toward enterprise data literacy. So, what exactly is data literacy? Gartner defines data literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the…

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What Is Data Literacy?

Data literacy (DL) describes how well an individual or organization understands, works with, analyzes, visualizes, and applies data to reach their goals. The specific context and use case determine what applying data literacy looks like in practice. For example, while reading visualizations on product deliveries provides value, true data literacy involves going further. It involves actively…

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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…

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Data Visualization Best Practices

Good data visualizations boost business data literacy by presenting well-thought-out dashboards or reports that show data assets for quicker and more straightforward consumption. Following data visualization best practices leads to positive outcomes for organizations. These benefits include reducing the time and costs of questions data consumers ask by answering them up front in the data visualizations. Additionally, good visualizations increase consistency…

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Yes, Being a Citizen Data Scientist Can Help You Succeed

If your enterprise has nominated you for the role of a citizen data scientist, you must have the right tools and augmented analytics features to help you fulfill your role.  Gartner has predicted that “90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.” This statement, coupled with…

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Why IT Needs to Drive Innovation Through Analytics

Organizations are sitting on a bevy of data and intelligence, all stored across various internal and external systems. Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors. It all starts with IT, and the organizations that can answer…

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