Rangarajan Vasudevan, Founder & CEO
Customer-facing functions in many enterprises across industries have started to use analytics to guide decisions. This has become a necessity due to ever-increasing data collection, thanks to the penetration of the internet and the adoption of digital by most industries. Quite clearly, big data has long become bulk data. Delving deeper, it is also clear that this huge amount of data being generated is largely centered around end consumers, machines (mainly IoT data), or corporate entities or brands. The generation of bulk data has led enterprises to seek insights at a micro level, by understanding the preferences of each individual, keeping track of changes in the behaviors, and personalizing products or services. This process has been traditionally manual and hard-to-scale. It traditionally called for deep expertise in data science and data management-related competencies and skills.
Data + Analytics = New Business Opportunities
By: Sujith Vasudevan, Managing Editor
The world is becoming smarter with every passing day and data is at the center of it all. In truth, we have passed almost a decade after the expression `Data is the new oil' was first echoed by Clive Humby, the innovator behind Clubcard the world's first superm
AI in HR: Essential Step Towards Organisation's Digital Transformation
By: Sayed Peerzade, Group CIO, Reliance Entertainment
Companies form HR departments to handle hiring and compensation. Soon, HR leaders will find themselves tackling retention, performance management, culture and a myriad of other responsibilities. And now CEOs are asking them: What's your AI strategy? The short answer
By: Neelesh Kripalani, Chief Technology Officer, Clover Infotech
With an unprecedented number of people starting to work on a remote or work from model, the phishing and ransomware attacks were increased drastically across the globe; by 11 percent and six percent respectively in the yesteryear, and the instances of Misrepresentation
By: Harsha Solanki, Managing Director India, Infobip
There are two facts that every marketer worth their salt today must know: (i) the modern customer has an in-creased affinity for the digital medium and (ii) they are more willing to experiment with different conventional and new-
By: Amitabh Mishra, Data & Analytics Leader, Novartis USA
Big Pharma was an early adopter of analytics platforms. Early on, the focus was on how analytics could deliver value in terms of revenue, profitability, etc. Today's analytic needs are less about driving volume or speed, and more about driving value, e.g. patient outcomes.
By: Raahul Seshadri, Director of Engineering, WebEngage
Herb Kelleher, the founder of Southwest Airlines, once said, "I tell my employees that we're in the service business, and it's incidental that we fly airplanes." Instead, he attributed the success of his business to exceptional customer service.
By: Shrikant Shitole, VP (India & SAARC), FireEye, Inc
The COVID-19 situation has again renewed focus on supply chain management. While India comprises a reliable supply-chain network (SCN) that is strongly connected through modern communication and technology, supply chain
By: Kuntal Shah, Director - Engineering, Avaya
Shifting consumer and employee values over the past year have created an impetus for organizations to change how they do business. According to The Life and Work Beyond 2020 study commissioned by Avaya, 71 percent of consumers claim that customer service problems
10 Most Recommended Data Analytics Startups - 2021
Data stems from every part of the world, especially in the corporate domain. It is a key tool that helps scale businesses and makes business owners understand how their business is faring or what are the areas that require special attention. It makes decision making hassle free. It keeps track of the latest trends in the market and helps debunk the formula behind it. With data analytics, businesses can also build and maintain healthy client relationships and even pool in more customers. Over the last few years, data and analytics have proven to be quite a preferable tool in most industries such as educational institutions, defence, financial, healthcare and others, but it rather earned its fame for the IT industry. As a matter of fact, it opened the doorway to more job opportunities like data specialists, and data architects; not to mention the many startups that have the latest technologies at their disposal. GlobeNewswire, in its latest reports, indicates that the worldwide data analytics market is expected to reach $24.63 billion in 2021, with a 25 percent compound annual growth rate (CAGR) from 2021 to 2030. To ease the worry of choosing the reliable organizations, here's a list of `10 Most Recommended Data Analytics Startups - 2021' compiled by CIO Insider magazine. The organizations on the list are thoroughly researched upon their proven operational efficiency, client interactions and relations, solutions implementation, company collaborations, innovations, and of course contributions to the environment. A panel of professionals, comprising industry veterans and subject matter experts, CMOs, CEOs, analysts, and the CIO Insider editorial team, reviewed the following list (in alphabetical order).
|Company Logo||Company Name||Company Management||Company Description|
|Aximind Strategic Solutions||Sangeeta Panigrahi, Founder||Offers state-of-the-art products and solutions to help businesses to advocate growth by leveraging meaningful data insights|
|Biz Insights||Kunal Shah, Director||Serving organizations with data analytics expertise in Data Mining, Anomaly Detection, Historical Analysis, Machine Learning, Data analysis, Android/IOS and Web Application Development and A/B Testing|
|Crediwatch||Meghna Suryakumar, Founder & CEO||Offers Amplified Intelligence, Machine Learning, Contextual Information Intelligence and Business Decision Support|
|DataBeat||Pratyush Mulukutla & Ashok Ganapam, Co-Founders||Delivers services in advanced analytics, data science, machine learning, big data, cloud, enterprise architecture and data strategy|
|Eigenlytics Data Solutions||Prashant Kumar, Co-Founder & CEO||A B2B data science product company solving problems of data extraction and integration with its offerings in field of computer vision and pattern recognition, riding on general purpose artificial intelligence and deep learning|
|Eugenie||Dr. Soudip Roy Chowdhury, Co-Founder & CEO||Provides Artificial Intelligence, Anomaly Detection, Machine Learning, Forecasting and NLG|
|Impact Analytics||Prashant Agrawal, Founder||Builds 360-degree data science solutions to provide key solutions in Segmentation using AI, churn mitigation using advanced analytics, and Loyalty and Personalization using ML-algorithms|
|PiSquare||Chinmay Pradhan, Founder & Director||Helps organizations engineer and optimize decision making systems, and combines analytics and visualization to create insights|
|PyWiz Analytica||Sachin Sinha, CEO & Founder||A bespoke data analytics company specialized in helping organizations make better decisions on time, owing to their exceptional capabilities in Big Data Analytics and Visualization|
|TheDataTeam||Rangarajan Vasudevan, Founder & CEO||A first-of-its-kind automated customer intelligence platform that provides enterprises with live behavior intelligence & actionable insights about their own customers|