Super humans take on Data Sources & API in the Big Data world:
The millennial’s life revolve around the data and the sources of data have been spreading across the world like a forest fire. From your retailer to your banker everybody knows your behavioral pattern by following the crumbs of your data, it may be your social media posts, or your transactional records or the live data feeds from your IoT-enabled devices. So, you do always leave a trace whenever you are online.
Coming back to our Big Data Landscape post, I know you have been waiting too long for our final post (If you are visiting our blog page for the first time, let me tell you the fact that we have been writing a series of blogs on Big Data Landscape 2016 and this is our final post in the series).
Health: Doctor Strange
Health care analytics is a product category used in the marketing of business software and consulting services. It makes extensive use of data, statistical and qualitative analysis, explanatory and predictive modeling. I think Doctor Strange has been doing some great magic in the medical world just like the health care analytics.
- Human API
IOT: Iron man
IoT brings diversifying data sources and enabling analytics to be applied to new areas, such as the monitoring of sensors attached to manufacturing devices and obviously who could handle IoT concept more evidently than an Iron Man!
Financial & Economic Data: HULK
Finance analytics is the process of evaluating businesses, projects, budgets and other finance-related entities to determine their performance and suitability. These data sources are much bulk than the Hulk.
- DOW JONES
- S & P Capital IQ
- CB Insights
Vixen can fly like a Hawk, run like a cheetah and swim like a fish in a one-on-one combat to beat her rival. Similarly, Airlines/Maritimes industry today apply insights into markets, customers, and their internal operations faster than their competitors to capitalize on opportunities and to deliver sustainable business performance.
- PLANET LABS
Location/People/Entities: Lois Lane
Location analytics is the process or the ability to gain insight from the location or geographic component of business data.
People Analytics is the use of people-related data to optimize business outcomes (and solve business problems) at the individual, team or organizational levels.
Can you find the similarities between this industries and Lois Lane? She is an investigator who knows how to uncover the truths behind the people. Does it ring a bell now?
- Crimson Hexagon
Data Research: Supergirl
Analytics in data research is the science of examining raw data with the purpose of drawing conclusions about that information (This is nothing like a Supergirl but since I like her so much I thought of including her in this series! Oops!!!).
Our future will be entirely power-driven by Big Data capabilities and applications. Most of our science fiction dreams like driverless cars, emotionally aware robots, and virtual reality will be real in coming days. So get ready for the big data ride in the future.
I hope you enjoyed all our 6 blog series on Big Data Landscape 2016. We would be really delighted to know your opinions. Inbox us or just drop a comment below. Stay Tuned for more interesting posts.