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(Image) Amazon.com, the Seattle-based ecommerce giant, has always leveraged data. In one of their latest business moves, the company has obtained a patent to ship us goods before we have even made a decision to buy it, purely based on their predictive big data analytics.
"the company has obtained a patent to ship us goods before we have even made a decision to buy it, purely based on their predictive big data analytics."
(via https://www.youtube.com/watch?v=4ARUTKqnVxs)
By Alex Zhong What is the source of procurement’s value to the enterprise? How do organizations become more effective and efficient in achieving sustainable savings? In mitigating risk? How can procurement deliver even greater value to the enterprise? These questions are essential to the continuous improvement of the procurement function. They are the questions at …
Companies putting big data initiatives in place report positive results, but most also say their business could improve by making better use of that data.
Harnessing the full power of data is necessary for best use. Learn more in this article from CIO. Remember, when you need to convert your date from a legacy system to a more robust report platform, call or email us.
SAS (Statistical Analysis System):
· Developed by SAS institute (Cary, NC)
· Used for Business Intelligence (BI), Data Management, Multivariate Analysis, Advanced Analysis and Predictive Analytics.
It is used for Data Mining, Data Manipulation, Data Management and Statistical Analysis.
For any one who are interested in Statistics and Data management, SAS is the best advanced tool to learn.
SAS has more than 200 products;
1. Base SAS
2. E-Miner
3. SAS/STAT
4. SAS/VA and more….
Base SAS is basic for every SAS programmer, it will be used by other SAS products like e-miner, SAS clinical, PMLR (Predictive modeller).
Career Paths:
· Data Analyst
· Business Analyst
· Analytics Programer
· Data Integration Developer
· Advanced Predictive
Data Analyst:
Data Analysts provide business solutions to organisations by applying statistical/mathematical rigour to large data. In industry parlance they are on the ‘Predictive Analytics’ part of the Analytics cycle providing inputs such as ‘What will happen next’, ‘What’s the best that can happen’, and ‘How best should it be done’.
Student Profile
A Data Analyst needs to fundamentally combine the skill sets of Maths, IT and Business knowledge. While good capabilities in Maths/Statistics is the necessary prerequisite to make a Data Analyst, a broad understanding of Business environment with some proficiency in IT are the sufficient prerequisites. Specific academic backgrounds are not prerequisites but a comfortable Quant orientation is desirable to be a Data Analyst.
Career Path
Initial job roles would be part of an analytics team working as Statistical Analyst, Data Miner, Forecaster, Market Researcher, Operations Researcher and similar profiles. With career development, Data Analysts may focus towards specific domains such as Customer Intelligence, Risk Intelligence, and Supply Chain Intelligence. With further career progression they look to industry specialisations within the domains they gain expertise on such as Banking, Telecom, Insurance, Retail, etc. This is an exciting, very high potential career with good remuneration and a large gap between demand and supply catering both to the outsourced work in India and to growing use of analytics in domestic industry.
Business Analyst
Business Analysts, with their core understanding of the organisations’ business, provide reports to various end users in the organisation for effective decision making. These reports are based on insights from summary statistics of the large data or insights developed by applying mathematical rigour on the data.
Student Profile
Business Analysts need to have good analytical capabilities to access, organise and report data. They need to have a good understanding of the organisation’s business and they should have the capability to understand business users’ requirements and accordingly provide insightful reports. Further they should have fundamental understanding of Dimensional Modeling including OLAP.
Career Path
As organisations have more data, they want to use it to build competitive advantage. Business Analysts have the opportunity to be part of large teams that provide these insights. This ever expanding activity in the domestic and outsourced markets provides a big career opportunity for aspiring Business Analysts.
Data Integration Developer
As the magnitude of data available to organisations is growing exponentially, Data Integration Developers are key members of the analytics team who prepare relevant data for analysis. They collect, transform, cleanse and store data in preparation for reporting and analysis.
Student Profile
You should have the capability to understand how large data is stored and organised. Fundamental understanding of Relational Database Management Systems (RDBMS), SQL skills and the essentials of Data Warehousing concepts are required to start your career as a DI Developer. While varied academic backgrounds are acceptable, demonstrating above skills in this area is essential.
Career Path
As the Large and Big Data phenomenon unfolds, career opportunities for those responsible for harnessing data for Analysis are growing exponentially. Beginning as part of the team responsible for Data Integration from various Data sources primarily with structured data in RDBMS systems, you will grow to lead teams responsible for this. Going forward as you develop expertise in harnessing larger data, both structured and unstructured, an exciting and highly rewarding career in this challenging area will unfold for you.
Decision Tree to determine which average to use!
Magic Quadrant for Business Intelligence and Analysis Platforms
FICO Big Data Analyzer
FICO Big Data Analyzer
FICO Big Data Analyzer : FICO Big Data Analyzer, is a purpose-built analytics environment for a new generation of data professionals. Big Data Analyzer empowers a broad range of users to
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FICO Analytic Cloud
FICO Analytic Cloud
FICO Analytic Cloud : FICO Analytic Cloud, is a web-based infrastructure for creating, customizing and deploying powerful, analytics-driven applications and services. Users are able to conduct
New Post has been published on http://www.predictiveanalyticstoday.com/fico-analytic-cloud/?%SNAP%
