Authors: Raghavendran Murugan, Sunitha Gunasekaran The battleground for capturing the attention of wholesalers, retailers, and consumers continues to heat
Perspectives
Perspectives
Author: Abhideep Jain A/B tests, as they are called, are quite common in the pharma industry. Large clinical trials
Authors: Suganthi Murugesan, Varalakshmi Myilsamy In organizations where data-driven solutions are valued, Data democratization is becoming a necessity. Data virtualization
Authors: Ajeeth Kumar A, Chetan Jaamdar, Gaurav Kantrod According to Gartner, poor data quality could cost organizations up to $12.9 million
Authors: Vinayak Gupta, Saurabh Gupta, Asif Ghatala Patients suffering from rare diseases and their caregivers often struggle to manage
Authors: Surojit Roy Modern data warehouses demand petabytes of storage and optimized techniques to run complex analytic queries. The
Authors: Venkadesan Ramachandran, Sundaresan Narasimha Moorthy We know that BI Dashboards play a vital role in businesses across various sectors.
Authors: Sriraj Srinivasan, HJ Feng Post-pandemic, we’ve seen that businesses are looking to regain their foothold in the marketplace. As
Authors: Nitin Khandelwal & Asif Ghatala It is now becoming increasingly obvious that overall global health can be improved not just
Author: Prabhanjana Guttal What do customers really really want: More options? Value for money? Better quality products? Exciting discounts? With
Author: Suprakash Nandy “Data is a precious thing and will last longer than the systems themselves.”– Tim Berners-Lee, inventor
Authors: Sundaresan Narasimha Moorthy, Muthamizh Selvan Subburayan At the center of Industry 4.0 (4IR), is the generation of data in
Authors: Harsha Mediboyina, Abhishek Kandiyil As organizations continue to grow in scale and manage large volumes of data, Python and
Author: Chenyang Shi The pharmaceutical industry splurges billions of dollars in R&D year on year to develop drugs and vaccines
Author: Ajith Raam D Ideas, vision, trust, and that strong “gut feeling” may have helped investors make decisions about how
Authors: Muthu Govindarajan, Manish Gupta Modern Data Lake Data Lake solutions started emerging out of technology innovations such as Big
Authors: Karthik Natarajan, Guru Mahesh The Industrial Internet of Things (IIoT) leverages AI-powered automation, machine-to-machine communication, and real-time analytics to
Authors: Riaz Samadh, Saravanan Perumal Recently, at the DES22 Summit held virtually on the 30th of April 2022, we spoke
Author: Lakshmi Vaideeswaran To understand the likely impact of India-centric AI, one needs to appreciate the country’s linguistic, cultural, and
As we step into the next decade, it is the many voices of Tiger that can truly describe the company’s journey.
Milestones certainly have a way of making us wonder, cherish, and inspire. Of marveling at what we’ve accomplished
Throughout the initial decade of being in business, Tiger Analytics has been fortunate to have a faster pace of growth, and opportunities
Authors: Lakshmi Vaideeswaran In an age when data dictates decision-making, from cubicles to boardrooms, many auto dealers worldwide continue to
In continuation to part one, this blog (sequel) aims to elaborate on how the mentor-mentee relationship works across role groups.
Tiger Analytics is among the most trusted AI and analytics partners of numerous Fortune 500 companies.
Authors: Sidharth Ramesh Introduction: Lots of small to midsize companies use Analytics to understand business activity, lower their costs and
Authors: Anupam Bhargava Around 1981, the term outsourcing entered our lexicons. Two decades later, we had the BPO boom in
Authors: Abhideep Jain AI goes rogue and decimates or enslaves humanity — the internet is full of such horrendous fictional
Authors: Muthiah Sriram There is rich and abundant data available in the telecom sector, and this data has been especially
Author: Dinesh Raman Introduction Many health insurers are on the cusp of digital adoption and while the COVID-19 pandemic did play
Authors: Lakshmi Vaideeswaran, Suresh Ponnuru Data Science applications are gaining significant traction in the preventive and predictive maintenance of process systems
Authors: Tarun Goel, Badrish Prakash, Saulo Ferreira The last few years have seen a rapid acceleration in the use of disruptive technologies
Author: Rajdeep Arora In this blog, Rajdeep Arora, a Senior Data Scientist at Tiger, provides valuable insights on the future
Author: Deepak Dhirasaria Data has become the lifeblood of many industries as they unlock the immense potential to make smarter
Author: Minu Philip The ‘new normal’ in Insurance Come 2021, and the three major factors that are challenging traditional insurance
Authors: Rachit Dhir Small-and-medium-sized businesses often embark on unrewarding insurance journeys. There are about 28 million such businesses in the
Authors: Ramkumar Ananthakrishnan When you’re a die-hard cricket fan who watches almost every game, choosing the right players in IPL
Author: Arvind Mahishi Improper commercial waste management has a devastating impact on the environment. The realization may not be sudden,
Author: Santhanakrishnan Ramabadran Having been associated with the analytics industry for nearly two decades, I consider myself extremely lucky. It’s
Authors: Harini Shekar, Nivas Athimoolam Consumers expect products to be on the shelf when they need them. Approximately 49% of customers
Author: Vighnesh Subramanian Consider this interesting statistic: Between 2013-19, Chennai Super Kings (CSK) has won a mere 35% of matches
Author: Kishor Gummaraju It is almost cliché to say that COVID 19 has accelerated the adoption of digital by consumers
Author: Minu Philip Until recently, Insurance has largely been perceived to be a traditional and slow-moving industry. However, the entire
Author: Ramkumar Ananthakrishnan Data Analytics in cricket, especially in the immensely popular T20s, such as the Indian Premier League (IPL),
Author: Harish Seetamraju A Deep Dive into the Casual Restaurant Industry’s Forecasting Solutions, and an Investigation of What’s in Their Future. George
Author: Natarajan Manivasagan For cricket fans, it will be impossible to forget India’s incredible victory over Australia in the Border-Gavaskar
Author: Sunder Prabhu The Suez Canal crisis has brought the discourse on supply chain resilience back into focus. The incident
Author: Sri Vallabha Deevi Between May and July 2020, there were 30 recorded industrial accidents in India, killing at least
Author: Karunakar Gumudala Introduction: Spatial datasets always are more than a few gigabytes in size, with millions of records each.
Author: Ajith Raam D Agrochemical companies manufacture a range of offerings for yield maximization, pest resistance, hardiness, water quality, and
Authors: Harini Shekar, Sunder Prabhu Pandemic Effect Recently, my 12-year-old had to write an essay as a part of his school
Authors: Badrish Prakash, Karthik Gandhi, Saipriya Ashok Summary In the first part of a two-part series on CECL, we discussed the
Author: Arvind Mahishi Historically, manufacturing equipment maintenance has been done during scheduled service downtime. This involves periodically stopping production for
Author: Sethu Janardhanan Summary – Analytics Leaders play a pivotal role in making their company agile, resilient and successful in
Authors: Arun Kumar Ponnurangam, Karunakar Goud Institutional investors in real estate usually require several discussions to finalize their investment strategies and
Author: Sethu Janardhanan Summary – Buyer behaviour has already changed, creating risks and opportunities. – The pandemic has upended traditional
Author: Ajith Raam D World Mental Health Day on 10th October cast a long-overdue spotlight on one of the most
Author: Soumya Sethuraman Companies, from small enterprises to giant corporations, are a great opportunity for banks and financial service providers
Author: Kishor Gummaraju Data fuels digital transformations. These days there’s a start-up on every corner touting AI and Big Data
Author: Sethu Janardhanan Summary – Accelerated pace of change: Businesses are scrambling to adapt post-COVID-19. Late starters may never catch
Author: Naresh Reddy Introduction AWS SageMaker is a fully managed machine learning service. It provides you support to build models
Author: Joshan Kotni Introduction When dealing with data, the main factor to be considered is the quality of data. Especially
Author: Sujeet Kumar Bayesian Belief Network In our previous post on the Bayesian Belief Network, we learned about the basic concepts
Author: Ganesh Gs Introduction This article focusses on giving a detailed explanation of how one can reduce the latency for
Author: Dinesh Raman Introduction Electronic Health Records (EHR), as the name suggests, is a digitized version of the patient’s health
Author: Sujeet Kumar Introduction In the world of machine learning and advanced analytics, everyday data scientists solve tons of problems
Author: Karthikeyan Siva Baskaran Introduction The Snowflake Connector for Spark enables using Snowflake as a Spark data source – similar
Authors: Nidhi Chadha, Karthik Gandhi Introduction One of the key lessons the financial world took away from the Great Recession
Author: Viji Ekambaram Introduction As Data Scientists, one of the most pressing challenges we have is on how to operationalize
Author: Abhideep Jain Banks act as a backbone to any economy by efficiently regulating the flow of capital from those who
Author: Sunder Prabhu One of my friends told me that “he is going to Uber over” to my place. It just
Author: Neha Asrani We often hear that real estate investment is all about location, location, location. But how does a
By Sri Vallabha Deevi The situation now COVID-19 has brought the world to a standstill. Countries around the world are
By Santhanakrishnan Ramabadran Around 2001-2003, at the hallowed portals of the Department of Management Studies(DoMS), Indian Institute of Science, Prof.N.J.Rao
By Ramesh Natarajan Update (Dec 2020): This article is updated with an added reference to Tiger Analytics Pandemic Impact Index
By Santhanakrishnan Ramabadran Advanced Analytics, characterized by Data Science, Machine Learning, Artificial Intelligence, and Engineering – which includes big data
By Prabhakaran Vijayanagulu While working with small datasets, Pandas is typically the best option, but when it comes to larger
By Antony Amalraj Morais Introduction: One of the major challenges faced by technology product marketing teams is placing a dollar
By Ajith Raam D, Arunadhri Srinivasan, Ranjith Muralidharan Manufacturers need to continuously tweak and evolve their fabrication processes to reduce
By Karthikeyan Sivabaskaran As a data engineering enthusiast, you must be aware that Apache NiFi is designed to automate the
By Soumya Sethuraman Banking is one of those traditional industries that has gone through a steady transformation over the decades.
By Pradeep Gulipalli “Risk is the price you pay for opportunity,” goes a famous saying. Businesses are built to create
By Pradeep Gulipalli We are not strangers to the way AI is impacting our daily lives – both personally and
By Neethu MV This post is about Kylin, its architecture, and the various challenges and optimization techniques in it. There
By Sishir Muralidharan, Aswani Yeraguntla, Pradeep Gulipalli As data scientists, we’ve all done a variety of forecasting – demand, sales, revenue,
By Karthikeyan Sivabaskaran NiFi is a simple tool, but it becomes complex when we fail to capture logs for complex
By Pradeep Gulipalli More than a century ago, Vilfredo Pareto, a professor of Political Economy, published the results of his
By Pradeep Gulipalli Year ends and birthdays are good milestones to reflect on the past and plan for the future.
By Durjoy Patranabish In an earlier blog, we gave an overview of the adoption of analytics in the insurance industry.
By Karthik Raghunathan Trade promotions are a staple for every CPG company in order to push their products through the
By Durjoy Patranabish The insurance industry has had data at the core of its business for long – long enough
By Vamsi Bhupasamudram The sales force is the front line of an organization, often representing the first human touchpoint, before
Why eCommerce for CPG? The clear, permanent shift towards digitally driven consumption is turning up the heat on retail, but
By Santhanakrishnan Ramabadran The CPG industry today is in the midst of an interesting bundle of challenges and opportunities. While
By Santhanakrishnan Ramabadran CPG brand managers across the globe are faced with the unenviable task of finding answers to this
By Pradeep Gulipalli Over the last couple of decades, digital advertising has driven a very significant change in the traditional
By Pradeep Gulipalli As businesses today understand the value their data can unlock, they are faced with an increasing need
By Santhanakrishnan Ramabadran I have been watching with keen interest how in the recent couple of years Gartner has redefined
By Pradeep Gulipalli Analytics is finding increasing relevance across industries in hitherto unheard of applications, and this has resulted in
