Data and Advance Analytics

  • June 22, 2022
  • Expeed Software

Data Integrity: Types, Threats and Best Practices

We live in a data-driven economy where everything we do or say impacts the digital stream of data that feeds right into how businesses decide their next move. Organizations partner with data analytics companies that collect large amounts of data about their customers, clients, and competitors, and then help draw actionable insights that streamline their […]

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  • November 2, 2021
  • Expeed Software

Time vs. Outcome in Building a Data Analytics Team

According to CIO.com, you need quite a few ingredients to build a successful data analytics team. This starts with the need to put together a diverse task force of different business unit stakeholders who understand the data from various viewpoints. The article goes on to talk about the need to develop a common framework, adopt […]

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  • November 2, 2021
  • Kevin Croxall

Analytics and Insight: Problem Solving & The Essence of Data Science

What is Data Science? What does a Data Scientist actually do? What do you look for in a Data Scientist? Where did you get those shoes? In the myriad of questions which I am asked as a Data Scientist, these stand out both in terms of frequency of ask and the earnestness with which they […]

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  • November 2, 2021
  • Expeed Software

Storytelling with Data: Using Visualizations to Help Stakeholders Understand Data Findings

The job of the data scientist is to acquire data, clean it, analyze it, make sense of it, and most crucially of all, communicate its meaning to an audience of (usually) non-data scientists. Effective communication is critical in data science. Data scientists are highly-trained, highly-skilled individuals – and they need to be. The language of […]

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  • November 2, 2021
  • Expeed Software

6 Ways Data Science and IT Developers Can Work in Tandem

Data science empowers software engineers and IT developers to extract meaningful insights from the processes and information they encounter during application development. But it also involves communicating the results of data analysis to other stakeholders in a software project – many of whom won’t have the technical level of understanding or expertise of an IT […]

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  • November 2, 2021
  • Expeed Software

A Brief Exploration of Exploratory Data Analysis (EDA)

You probably wouldn’t buy a new car before checking out some online reviews, reading up on its specs, and taking it for a test run. In a similar manner, it would be unwise to make critical business decisions on the basis of information and assumptions that haven’t been screened or tested in some way. That’s […]

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  • November 2, 2021
  • Expeed Software

The Importance of Defining a Research Goal in a Data Science Project

“Hey! You there – Data Scientist. Tell us something about our data.” In the digital economy, data is the new gold– indeed, there’s a new gold rush – for businesses. However, like gold, data isn’t valuable in its raw state. To obtain value from gold, the raw material first needs to be processed – minted […]

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  • November 2, 2021
  • Bineesh Thomas

How business could benefit from Automated Anomaly Detection System

An outlier in data is called an anomaly. It can be a simple spike in data, a collection of multiple spikes, or even an absence of a spike from a pattern. Anomalies are symptoms of expensive business problems ranging from faulty machineries to high level frauds. In this post we will discuss the definition, approach, […]

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  • November 2, 2021
  • Expeed Software

Getting Data Science Right: 5 Common Data Mistakes to Avoid

Data. It’s the new oil. The new gold. The new fuel that drives business success. Why? Because today, a successful company has customers at its core – and the more you know about your customers, the better you can understand their needs and evolve your products, services, and marketing strategies to serve them. How do […]

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