Meet the perfect Analytics Personalities in Big Data world 2016
It’s good to have a single chapter but, it is always better to have a continuous series. Right?! I can relate to your feelings of getting to know on our next move. You peeked into Analytics General Sherman- Infrastructure on previous post and you are going to interact with 16 personalities of Analytics in this series.
Have you met identical and non-identical twins?? I have met them both, even they have different personalities. Everything in the analytics world is unique. This analytics chunk in Big Data Landscape 2016 has 16 different personalities. Wanna meet them??? C’mon lets go ahead.
- Digital Reasoning
- Orbital Insight
2. Logician– Analytics Platforms:
An analytics platform is a unified and proper solution designed to address the demands of users, especially large data-driven companies, on the inadequacy of relational database management systems (RDBMS) in providing contextual analyzed data out of all the stored information.
3. Commander– Data Science Platforms:
Data Science Platform lets you use data sources that are structured or unstructured, and static or real-time.
- Context Relevant
- Continuum Analytics
- Data Robot
4. Debater– Visualizations:
Data visualization describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.
- Google Cloud Platform
5. Advocate– BI Platforms
Business intelligence (BI) platforms enable enterprises to build BI applications by providing capabilities in three categories: analysis, such as online analytical processing (OLAP); information delivery, such as reports and dashboards; and platform integration, such as BI metadata management and a development environment.
- Power BI
- Amazon Web Services
- Wave Analytics
- Kyvos Insights
6. Mediator– Statistical Computing:
Statistical computing, is the interface between statistics and computer science. It is the area of computational science (or scientific computing) specific to the mathematical science of statistics.
7. Protagonist– Log Analytics:
Log analysis (or system and network log analysis) is an art and science seeking to make sense out of computer-generated records (also called log or audit trail records).
- Cloud Physics
8. Campaigner– Social Analytics:
Social Analytics refers to the collection and analysis of statistical, digital data on how users interface with an organization, particularly online. Over the last decade, social analytics has become a primary form of business intelligence, used to identify, predict, and respond to consumer behavior.
9. Logistician– Real-Time:
Real-time analytics can be defined as the use of, or the capacity to use, available enterprise data and resources when needed. It consists of dynamic analysis and reporting, based on data entered into a system less than 60 seconds ago.
- Amazon Web services
10. Defender– Machine Learning:
Machine learning 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.
- Azure Machine Learning
- Amazon web Services
11. Executive– Speech & NLP:
Neuro-linguistic programming (NLP) is an approach to communication, personal development, and psychotherapy created by Richard Bandler and John Grinder in California, United States in the 1970s. NLP has since been largely discredited scientifically but continues to be marketed by some seminar runners and some hypnotherapists.
12. Consul– Horizontal AI:
Artificial Intelligence is the science and engineering of making intelligent computer programs or machines. Artificial intelligence algorithms span several different branches of computer science and mathematics including: pattern recognition, predictive modeling, text mining and search, genetic programming, heuristics, inference, and ontology, and data analytics.
- IBM Watson
- Sentient Technologies
- Nirvana Systems
- Scaled Enference
- Geometric Intelligence
13. Virtuoso– Search:
Search analytics is the use of search data to investigate particular interactions among Web searchers, the search engine, or the content during searching episodes. The resulting analysis and aggregation of search engine statistics can be used in search engine marketing (SEM) and search engine optimization (SEO).
- HP Autonomy
- Oracle Endeca
14. Adventurer– Data Services:
Data services are software services that encapsulate operations on key data entities of relevance to the enterprise. Enterprise data is stored in multiple systems and require multiple interfaces or mechanisms to interact with them.
- Mu Sigma
- Silicon Valley DataScience
15. Entrepreneur– For Business Analysts:
Business Analysis is the practice of enabling change in an organizational context, by defining needs and recommending solutions that deliver value to stakeholders.
16. Entertainer– SMB/Commerce:
- Google Analytics
- Retention Science
Have you met all these personalities of analytics? Trust me they are ready to take on the world. So better hop on to these personalities for the miraculous forthcoming days. Stay tuned for the next series…
Note: Personalities referred from 16Personalities.com