Data Analytics

  • October 5, 2022
  • Expeed Software

What is Streaming Analytics?

What is streaming analytics? In its simplest form, streaming analytics

Read More
  • 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 […]

Read More
  • November 2, 2021
  • Jishnu Radhakrishnan

Different Ways to Integrate Qlik Sense into Web Applications (A high-level overview)

Currently, we live in a world dominated by multitude of devices including “Internet of Things” (IoT) which is contributing to a massive accumulation of data by organizations. When utilized properly, this data has the potential to influence every aspect of our life – from suggesting a restaurant for dinner to mapping a safe flight path for a […]

Read More
  • 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

Read More
  • 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 […]

Read More
  • 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 […]

Read More
  • 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 […]

Read More
  • 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 […]

Read More
  • 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 […]

Read More
  • 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, […]

Read More