The Cross-Road of Big Data Applications 2016:
Have you climbed the biggest data infrastructure tree and met with the analytics delegates in our previous posts? As this is a series blog, if you are reading from here you may probably get lost on the cross-roads. This is our third post and third time is always lucky, believe me we are very much in need of that luck as we are going for a road trip with big data applications.
In this series we are going to get lost on the roads of big data and get a sneak peek into the few vehicles (Industries) which has an extreme obsession over the big data technologies.
Sales & Marketing:
Sales analytics is the process used to identify, model, understand and predict sales trends and sales results while helping in the understanding of these trends and finding improvement points. It is used to determine the success of a previous sales drive and forecast as well as determine how future ones will fare.
Marketing analytics comprises the processes and technologies that enable marketers to evaluate the success of their marketing initiatives by measuring performance (e.g., blogging versus social media versus channel communications) using important business metrics, such as ROI, marketing attribution and overall marketing effectiveness.
Data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics.
- Fuse Machines
Human Capital is an area in the field of analytics that refers to applying analytic processes to the human resource department of an organization in the hope of improving employee performance and therefore getting a better return on investment.
Legal analytics mines litigation data, revealing insights never before available about judges, lawyers, parties, and patents, culled from millions of pages of IP litigation information.
Ad text optimization (ATO) is the process of improving the performance of a text Pay Per Click (PPC) Advertisement on search engines by improving its Click Through Rate (CTR) performance both in terms of volume and quality of response that is “more buyers, less browsers”
- Integral Ad Science
Security analytics refers to information technology (IT) solutions that gather and analyze security events to bring situational awareness and enable IT staff to understand and analyze events that pose the greatest risk.
- Area 1 Security
- Guardian Analytics
- Recorded Future
Vertical AI Applications:
Artificial Intelligence in analytics is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.
Publishing Analytics enables publishers to use data and analytics to drive improved print and digital readership, as well as optimize revenue.
Governments that apply analytics to strategy development and operations can better protect and serve citizens.
Financial analysis is the process of evaluating businesses, projects, budgets and other finance-related entities to determine their suitability for investment. Typically, financial analysis is used to analyze whether an entity is stable, solvent, liquid, or profitable enough to be invested in.
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.
Life sciences analytics for capitalizing on big data to foster global collaboration based on accurate clinical research information. Rapid clinical trial insights that let you accelerate promising programs or stop unproductive ones.
- Pathway Genomics
- Deep genomics
- Zephyr Health
- Stitch Fix
How was the trip? Aren’t you happy to see the fascinating views of the applications? I never had an idea that these many industries have embraced big data analytics and it is really exciting to see the Big Data’s influence over these many businesses. Stay Tuned to know more about Big Data Landscape 2016.