HR + AI = Exploring the new possibilities of data. Augmented analytics—an AI-driven technology enabling automated data preparation and insight generation—has recently seen increased adoption across industries such as BFSI, telecom, retail, and IT, providing actionable insights on demand planning, inventory levels, investments, and customer experience strategies, among others. However, in addition to aiding high-level… Continue reading Augmented Analytics for HR: Six Use Cases Transforming People Management
Topic: Data Management
Six Ways to Leverage Data Analytics in HR
Employee retention: According to recent studies, the cost to replace an employee could be over 200% of their annual salary [1]. By analyzing and relying on historical data, trends & patterns, managers can identify employees at risk of leaving and the impending reason, with a degree of certainty [2]. A recent survey showed that ML can be… Continue reading Six Ways to Leverage Data Analytics in HR
What are the Top Challenges and Fixes to Incorporating Cloud Computing for CPG?
Cloud computing has transformed the capabilities of CPG companies, helping them engage consumers digitally and enhancing omnichannel consumer experience capabilities, providing insights on customer journey and enabling them to delve deeper into customer trends and preferences. Additionally, it has also helped them improve their existing digital ecosystems and to make the most of their analytics… Continue reading What are the Top Challenges and Fixes to Incorporating Cloud Computing for CPG?
Top Four Challenges and Fixes in Telematics Management
“The Global Vehicle Telematics market was valued at USD 43.61 Billion in 2019 and is expected to reach USD 129.2 Billion by the year 2027.”[1] Telematics, the process of analyzing and collecting data from vehicles, is used primarily for fleet management, workforce efficiency and more. The advantages of telematics include accurate measurement of data, driving… Continue reading Top Four Challenges and Fixes in Telematics Management
Top 4 Real World Data Challenges (And Fixes) in the CPG Industry
Predictive and prescriptive CPG analytics are helping executives fish in vast data lakes and make the best catch with insights that truly move the needle of their business. However, is it as simple as it sounds? In one word – no. Apart from having to swerve aside from multiple organizational potholes that take the shape… Continue reading Top 4 Real World Data Challenges (And Fixes) in the CPG Industry
Pandemic Analytics in Banking and Financial Services Industry: Gauging the Economic Impact of COVID-19
Towards mid-April 2020, the Bank of America reported that “its quarterly profits dropped by 45 per cent from a year ago,” as a result of the coronavirus pandemic, and “the amount of money BofA set aside for loan losses nearly quintupled from a year ago, from USD 1.01 billion to USD 4.76 billion.” [1] While many governments… Continue reading Pandemic Analytics in Banking and Financial Services Industry: Gauging the Economic Impact of COVID-19
The Value of Analytics: Look Beyond the Price Tag
The definition of value in the dictionary refers to a noun form and a verb form, with two varied interpretations each: As a noun: The regard that something is held to deserve; the importance, worth, or usefulness of something. “your support is of great value” Principles or standards of behavior; one’s judgement of what is… Continue reading The Value of Analytics: Look Beyond the Price Tag
The 4As to Reinventing Retail and Supply Chain Systems in the New Normal: Part 1
Assess & Analyze how different businesses are dealing with pandemic disruption When coronavirus fears intensified around early March 2020, globally, consumers resorted to panic buying – the news was abuzz with the way people were stock-piling toilet paper rolls, sanitizers, and other essential products. However, in April, the trends changed again. Having stocked up, people… Continue reading The 4As to Reinventing Retail and Supply Chain Systems in the New Normal: Part 1
How Much of Data Science Can be Automated?
Introduction: Why should we hire a data scientist when we can just use one of the many AutoML tools on the market? What if we could have our own, personalized AutoML platform instead of one already on the market? These are among the questions that businesses encounter when toying with the idea of investing in… Continue reading How Much of Data Science Can be Automated?