Data and Advance Analytics

  • November 23, 2022
  • Expeed Software

Data Governance Best Practices

Data is being collected and stored now more than ever by organizations. According to a study by BI-Survey, 91% of organizations surveyed stated that data-driven decision-making was essential to their business

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  • November 11, 2022
  • Rao Chajerla

The State of Data Analysis Technologies

We are in the golden era of technological advancements, especially in data analytics. With the increased connectivity and momentum gaining for an ‘always-on’ culture, organizations are collecting tremendous amounts of data. The data collected can be used

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  • August 18, 2022
  • Expeed Software

When to Use SQL Databases vs. NoSQL Databases: Making the Right Decision

Many businesses today have a critical need to modernize their data.

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  • August 10, 2022
  • Expeed Software

Full-Text Search for Your Application: When and Why?

There are many factors to consider when building an application. One of the most important decisions you will make is what type of search engine to use.

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  • July 6, 2022
  • Expeed Software

Top Four Reasons to Consider Microsoft Power BI

You’ve likely come across many different business intelligence options available on the market today. But how do you choose the one platform that is right for your business? When looking for a BI solution you should consider multiple things.

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  • 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

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  • May 3, 2022
  • Expeed Software

Migrating From QlikView To Qlik Sense: What You Need To Know

For well over a century, the concept of and approach toward business intelligence has evolved significantly, progressing from just manual processes to more sophisticated scientifically gathered data and research

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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
  • Expeed Software

Do You Have a Data Analytics Vision?

If you have a vision of how your data analytics should function, should drive business and should be valued, but you haven’t mastered the art

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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 Projects 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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