Analytics

My 3 key learning in Data Science and BigData

Happy New Year 2016, folks!!
As 2016 sets in, the Analytics domain is in the limelight and Data Scientists are in huge demand. The maturity levels of the market has increased and the emergence of set processes and structured teams has become the norm.
In the Data Science world, the buzz word remains BigData and any Analytics professional worth his salt is keen to understand this domain. I am putting down 3 key points that I have understood.
1. BigData is all around us: – Earlier all documents, images and video / audio files generated in business were stored in physical form in storage units … boxes, vaults etc. Today, most of it is digitized and stored. All government records, business data, application forms with photo and customer / employee documentation, security camera footage … everything is being digitized for easier storage and fast access. read more

CSR Analytics: Quantifying the Human Dynamics of CSR

In India, spending on Corporate Social Responsibility projects is now mandatory for business entities that meet certain criteria of size and revenue¹. Estimates on future spends on CSR in India ranges from INR 8700 Crores³ to INR 20,000 Crores²(approx. USD 1.4 to 3.2 Billion as of Nov. 2014 exchange rates), by a total of about 6000 companies². As such, the new mandatory CSR regime will unleash a new CSR “market” in the Indian socio-economic sphere. read more

The move from BigData and conventional ERP data to total data

I was reading an article on the information management.com website (http://www.information-management.com/ ) by Yves de Montcheuil who is the vice president of marketing at Talend (https://www.talend.com/ ). He wrote about how there will be a convergence of the domain of data and soon we will ignore the current separations within the domain of data management and analytics. We will move to looking at data as one composite whole. We’ll soon get into the habit of not looking at data as BigData versus transactional data. Our enterprise data warehousing systems are going to become good enough to be able to work on data from all sources and of all types. read more

IDM