Retailers need to know their customers well – who they are, what stuffs they like to buy, how they would pay and what they think about the product or service. The best part is that there’s an ocean of data now available to fill in the gaps. Every time a customer visits the store, a long trail of customer data churns out for the retailers to explore.
With the help of this data, the retailers improve sales figures, customer service and interaction and their product offerings. Leveraging data is crucial. According to Gartner, retailers seek advanced analytic capabilities to shine bright in this age of digitized market solutions.
Continue reading “Data to Fill in the Gaps: Using Data Analytics to Seek Retail Advantage”
Data analytics is evolving. Coupled with Big Data, it is changing the topography of almost everything.
Each year, more and more companies are allocating their time and budget to exploit and understand vast pools of data strewn across them, both inside and outside company files. Of course, Big Data and Analytics is selling like a hot cake today, but what is its story of evolution? How the technology flourished 10 years back?
Continue reading “Is Change the Only Constant: How Analytics has Changed, while Staying the Same Over the Last Decade”
Of late, Microsoft- the tech mogul, like Google and IBM has deciphered massive potentials in launching quantum computing to eradicate the world’s biggest problems. Researchers at IBM, Intel and others are on an amazing scientific rat race to develop a commercially viable super quantum computer. Though they exist in laboratories, bringing it into the real world is going to be an altogether different endeavor.
Understanding the concept of the quantum computer
The concept of quantum computer is somewhat different and is not based on the use of binary logic. According to its nature, a quantum computer is a simple yes/no/both device – where a programmer doesn’t have to choose between options, he is free to make all the choices in the world and that makes all the difference in the world.
Continue reading “Here’s All You Need to Know about Quantum Computing and Its Future”
With data analytics flourishing the manner it is, a lot of you hailing from IT background are sincerely thinking about making the remarkable switch from IT to Analytics. The skills you possess are transferable and the data structure fascinates you. You know very well, you will make more money in analytics and your career pathway will seek you great rewards. Yet something is stopping you from going!!!
What it is? Why are you feeling apprehensive to make the bold move that could change your life and career forever?
Continue reading “How to Take the Plunge from IT to Analytics: Explained”
We are happy to announce that our honorable Program Director, Tanmoy Ganguli’s couple of research papers titled: The Global Financial Crisis, Sensex and Stock Market Bubbles: A tale re-told and The Modelling of Allowances for Loans and Lease Losses During Stock Market Bubbles got selected for presentation at the 12th Annual Conference of IFIM Business School, Bangalore. No wonder, we the entire team at DexLab Analytics is feeling ecstatic and why not we have all the reasons in the world!!
Both the research papers are written and crafted by Tanmoy Ganguli, who has great expertise and fulfilling knowledge in the field of Credit Risk Modeling, SAS and Regression Models. Before setting his foot in the world of analytics, he worked as an assistant professor at a reputable college in Kolkata, hence happened to gain a lot of experience in teaching and managing students. His papers are intensely well-researched and hence got selected for presentation at Convergence 2017, which took place on 15th and 16th September 2017 at IFIM Business School, Bangalore. The theme of the event was Management 2022: Growth and Sustainability Challenges.
Continue reading “Program Director Tanmoy Ganguli’s Research Papers Selected for Convergence 2017 at IFIM B School”
Data is the new oil – processing it into actionable intelligence is the only way of leveraging its potentials to the fullest. On this note, CIOs are courting predictive analytics tools, curating machine learning algorithms and battle-testing cutting-edge solutions to amp up business efficiencies and devise better ways to fulfill customer needs.
For robust technological growth, CIOs are investing more than ever on newer tools and systems that supports data science. Going by the research statistics of IDC, worldwide revenues in the field of big data and data analytics are expected to soar high above $150.8 billion in 2017, an increase of 12.4%over 2016. Also, commercial purchases of software, hardware and services in pursuit of boosting big data and business analytics are expected to cross $210 billion.
Continue reading “3 Data Analytics Success Stories – to Keep the Bells On”
“Big data analytics will help bridge India’s tax gap.” Economic Times
“India’s Growing Big Data Future.” NDTV
“The Big News About Big Data.” NASSCOM
“Big data to boost job openings in 2017: Report” Tech Circle
“Big Data for the next green revolution.” Hindu Business Line
Continue reading “A Lead to Future: Data Analytics in Pune”
The main objective behind using any analytics tool is to analyze data and gather commercially relevant and actionable insights to accelerate results and performances of any organization. But currently there are a variety of tools available so, it often becomes difficult for managers to know which ones to use and when. You may be considering an online certificate in business analytics so reviewing and understanding these key tools may be of great value.
So, we thought you may want to know a few of the key analytics tools in use today and how they can be helpful for different business organizations.
Continue reading “A Few Key Business Analytics Tricks Every Manager Must Know”
In this blog post, we will discuss on the approach we can follow to provide an actionable analytics. Doing actionable analytics is not easier said than done. It requires a focused analytical process. Here we will outline the three important phase or levers that can improve the process of delivering actionable analytics. The three phases can help you to improve the financial aspects of the business by doing actionable analytics.
For example, if we are delivering actionable analytics for the marketing function. In each phase we will identify some critical characteristics or parameters that are going to influence the financial value directly or indirectly.
Continue reading “Approach – Actionable Analytics”