Monday, November 23, 2015
Analytics and advanced algorithms are helping e-commerce companies to battle online fraud. The nature of fraud keeps on changing and also become complex as various players become mature. Analytics have to be used constantly by these firms have to scan huge amount of transactional and master data to draw inferences out of them. The fraudulent transactions can be not only from the customers but also from various other players like sellers who use these market place. Various parameters are used in these algorithms to scan and ween out fraudsters. For example product pricing or discounts, consumer complaints can be an indicator if the seller is selling fake products. Fraud detection has become an area of competitive advantage for e-commerce companies like Alibaba, Flipkart, Snapdeal and Amazon.
Read more at http://www.anallyz.com/
Monday, November 9, 2015
India will overtake China with 18.8 percent of global workforce compared to China’s share of 13 % by the year 2050 according to Bloomberg. These projection are made on the basis of the projection of the working age population. This could be a key asset for India as the India grows economically. However there are few challenges like skill and jobs for a large population that needs to be overcome.
Friday, October 16, 2015
Wednesday, October 7, 2015
Tuesday, September 22, 2015
Monday, September 21, 2015
Anallyz Self Service BI and Analytics - Intro Analytics
Out of several definitions, which can be used for Analytics, the following should suffice for most of the cases. "ANALYTICS means set of techniques, which gives STRUCTURE to large amount of INFORMATION for actionable INSIGHTS." Structure by Charts, Graphs, Aggregations, Groupings, Inferences, Combinations, Trends etc. Insights by showing What happened, Why it happened, What can happen and What should be done for that.
Ingredients of Analytics
We will focus on STATISTCS and SMART SOFTWARE (Machine Learning), and mention other ingredients wherever appropriate.
Analytics relies heavily on Classical Statistics and Smart Software, sometimes used independently and sometimes in a combined fashion.
STATISTICS can be classified into Descriptive and Inferential Statistics. Descriptive Statistics presents summarized view of the as-it-is data, which is easier to use and interpret. Descriptive can be further classified into Graphical and Numerical Statistics. Inferential Statistics mainly refers to techniques, by which we deduce a measure about data(population), based on a part of it(sample) drawn from it. Before we proceed, let us arm ourselves with basic understanding of some concepts.
Population: Population consists of all the items of interest, which can be possibly used for Analytics. Example could be all adults eligible for voting in a country,all cars plying on the road in a city or all gears manufactured at a plant.
Sample: We could possibly use all items in a population, however we seldom do that due to huge cost and time involved with it. What we normally do is to take a part of the Population. But we refrain from picking people from the same city or gears manufactured in a single week. We would pick every nth person(Simple Random Sample) from a city, from different age groups(Stratified Sample) in a city and do the same for multiple Cities(Cluster Sample).
Variable is a characteristic of the Population or the Sample. As an example Vote preferences or Weights of people could be a variable. As the name suggests, it can take several values.
Data is the measured or observed value of a variable. When the data can take uncountable number of values, it is called Continuous Data (Interval, Quantitative Data). When the data can take only finite, countable number of values, it is called Categorical (Discrete, Nominal or Qualitative Data). When we measure weight of a person in absolute value, say lbs. it is Continuous. But when we put him in any of the three categories (Obese, Normal, Under-weight), it is Categorical.
Observe the alignment of Analytics Objectives and Techniques below. We are going to learn Descriptive and Inferential Stastics as foundation for more advanced concepts.
Read more at : http://www.anallyz.com/intro-analytics
Friday, September 18, 2015
Everest Group had conducted a recent webinar on the market of analytics:
- Majority of analytics business process services are done in-house , meaning there is substantial opportunity for outsourcing
- While the growth in analytics BPS last 3-4 years was 35-40% CAGR, projection (as per Everest estimates) for 2015-2018 CAGR are even higher at 40-45%
- North America + EMEA account for 80-90% of the spend (North America 55-60%)
- While majority of the current work is in reporting & descriptive analytics (both getting commoditized, productized, and automated gradually), there is increasing interest and growth in predictive and prescriptive analytics (both are more expertise based and less prone to commoditization)
- Largest buyers are CPG & Retail (about 30%) and BFSI (about 25%) followed by Healthcare (about 10%) and High-tech & telecom (about 10%)
- Revenue enhancement/top line growth is the primary driver of analytics spend
- Almost all leading players get most revenues from North America
Read more at : http://www.anallyz.com/news-analytic-data-science
Tuesday, September 15, 2015
MoEngage which is a mobile analytics firm has raised $4.25 million through a funding by Helion Ventures and Exfinity Ventures. They have also raised funds from Kunal Bahl and Rohit Bansal the founders of Snapdeal. MoEngage is building its mobile marketing automation platform which helps mobile based marketers to have focused marketing campaigns. It also helps app companies to work on personalized communications with users.
Read more at http://www.anallyz.com/news-analytic-data-science
Thursday, September 10, 2015
International Fellowship of Golfing Rotarians (IFGR) is conducting a "IFGR golf tournament" - details are available at the link below. Please register and invite your friends to this fantastic opportunity to enjoy the game and also help us raise funds for the "TEACH Mission".
Please register at the following link;
The TEACH Mission is Rotary's attempt to make India 100% literate by 2018. It includes use of E-learning techniques, Adult education, Teacher's Training, Providing essentials to school children, and equipping schools with necessary infrastructure for imparting quality education. Coming close on the heels of our stupendous success in finally getting India off the Polio map through our decades long Global Polio eradication programme, we believe that this goal is achievable as well. Please share this information with all of your friends and acquaintances and help us make India better.