Explore the potential of Business Analytics..

Transcription

1 Explore the potential of Business Analytics..

2 Amplify your data career with analytics: Analytics is about gathering dataa using software tools and creating dashboards and reports. However, analytics is much more. Analytics goes beyond data; its primary goal is to enable business decisions based on that data. This involves working with stakeholders to understand the gaps in the business and using this knowledge as a guide to manipulate data, derive useful insights, and make recommendations all key actions to increase revenue and lower costs. Wherever you sit in your organization, what s most important is the bottom line. And so whether you lead business or IT units or are in the trenches, the analytics profession has likely crossed your mind. What does it entail? Who are true analysts? How does one become an analyst? Those of you specifically in a data management, data warehousing or business intelligence role may wonder how to further develop your analytics career. On the surface, an analytics career can be quite broadly defined, and the transition to it can seem very confusing. However, the structured approach we describe in this article will make it easy to choose your path and give managers and leaders an appreciation for the developmental steps to success. My first question to someone looking at an analytics career is usually, Why do you want to change careers? Once you understand your motivation to change and how well this career will fit your personality, you can consider your next moves. Step 1: Align Your Disposition to Your Career What are the telltale signs of a good analyst? Ask yourself these questions to see if you have what it takes: Are you a problem solver? Do you like puzzles and other games involving logical thinking? Are you generally curious? Do you like working with people and helping them solve their problems? Are you driven toward making an impact through your work? If you answered yes to most of these questions, you will likely enjoy being an analyst. CLICK THE LINK BELOW TO VIEW THE VIDEO FEEDBACK OF OUR STUDENTS. Click here Click here Click Here

3 Step 2: Get Trained Once you know you will enjoy this career, it is time to get trained. To do that, you ll need to decide how you want to use analytics. Do you want to play in business analytics, driving decisions in the business world, or would you prefer the technical challenges of a data scientist doing advanced analytics? To give you some perspective, McKinsey Global Institute s report on big data predicts that by 2018, theree will be a shortage of 1.5 million analysts/managers who can make data-driven decisions versus 140, ,000 positions open for data scientists. There are several key differences between the two tracks. Data scientists need advanced analytics skills and thus they need formal education in statistics, computational mathematics or predictive analytics. Data scientists spend more time on computer algorithms than they do working with people. If you love working on data, software and systems, this is a good fit. Your education options depend on your situation: Training on software tools is widely available through vendors such as SAS, SPSS, Excel VBA. Short, hands-on courses in advanced topics such as logistic regression, decision trees and data mining are offered by analytics consulting companies. A business analytics professional/manager will need a basic understanding of analytical techniques that most data professionals can learn quickly. Analysts/managers spend more time interfacing with people than computers and are often working with broader business questions that can be solved using simpler analytics techniques. This track requires less time for transitioning, especially if you already have experience working with data. Data professionals already equipped with SQL skills to manipulate data will need training in data analysis and people skills to start tackling business analytics challenges. Although 80 percent of business problems can be solved via business analytics techniques and don t require advanced data analysis, historically there has not been formal business analytics training offered, and most people have learned it on the job. Even today there isn t much in the marketplace. Recession proof career Different Industries are relying on business intelligence and started using Business Analytics and Business Intelligence software like SAS, SPSS. Hence the growth & opportunity for Analytics and BI professionals are increasing day by day. It is a one of the recession proof career & job availability in market is wide. Analytics professional enjoy a supportive environment, outstanding opportunities for professional growth, and provide innovative solutions for business decision makers across the globe. This is the only profession where you can join from any stream of engineering, Management, and any other Graduates

4 You may find books and occasionally courses at conferences. At NIVT, we recognized this gap and created business analytics training classes. Our five-step of analytics framework based on practical business operations experience with technical data analysis techniques to quickly enable business and data professionals in data-driven, decision- making processes. Step 3: Find a Job Analytics is a hot field with many jobs available. To land a great analytics job, consider networking via LinkedIn. Use LinkedIn Jobs as well as LinkedIn analytics groups and highlight your analytics skills using tags. Also consider key job portals, such as Craigslist, icrunchdata, Indeed, Dice and Monster. PLACEMENT TRACK RECORD NIVT has a proven track record of placing its students in the best of organizations. The Placement Cell arranges interviews for students by the prospective employers, and monitors on-job training. Majority of students get proper and satisfying placement Many of our eligible students are working in various leading organizations like, TCS (Badodora), TCS (Bangalore), RELIGARE SECURITIES LTD., DELOITTE INDIA, INDUCTIUS, MINISTRY OF HEALTH- SINGAPORE, FROST & SULLIVAN, JP MORGAN, HSBC, WILLS TRINITY (Mumbai), IBM, ICICI Bank (Mumbai), CAPGEMINI, GENPACT, BRIDGETREE, TIE RACK RETAIL GROUP-UK etc.

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6 WHAT IS ANALYTICS? Analytics can be defined as the analysis of data to draw hidden insights to aid decision making. Businesses now a days generate huge amounts of data. This data contains many patterns and trends that, if identified, can act as valuable and powerful guides for business decisions and strategy. For example, an e-retailer like Amazon gets hundreds of thousands of buyers on its website every day. By analyzing the be haviour of the past customers, Amazon is able to predict what new customers may be interested in. WHY DO I NEED TO LEARN ANALYTICS? According to IBM, 90% of the data in this world has been produced in the last 2 years. This is an indicator of the torrent of data that has engulfed all facets of our life. The human mind is not capable of dealing with such large amounts of data. This is especially true in business. Large businesses have thousands of gigabytes of data containing billions of pieces of information. We need specialized tools and techniques to make sense of so much information. Hence, analytics has become a crucial part of managing any business. Currently, there is a global shortage of trained analytic professionals. Acquiring analytic skills will secure your career for the future.

7 Make faster, forward-looking decisions with SAS products and solutions As the leader in business analytics software and services, SAS provides solutions and technologies that empower you to solve today's complex problems and capitalize on tomorrow's opportunities. Our industry-leading advanced analytics deliver timely insights for taking strategic action and driving impact. Industries o Casinos o Communications o Education o Financial Services o Government o Health Insurance o Health Care Providers o Hotels o Insurance o Life Sciences o Manufacturing o Media o Oil & Gas o Retail o Travel & Transportation o Utilities SAS Solutions for Small to Medium Businesses Solution Lines o Analytics o Business Intelligence o Customer Intelligence o Data Management o Financial Intelligence o Foundation Tools o Fraud & Security Intelligence o Governance, Risk & Compliance o High-Performance Analytics o IT & CIO Enablement o On Demand Solutions o Performancee Management o Risk Management o Supply Chain Intelligence Learn how SAS solutions can be customized to meet your existing needs and budget.

8 Base SAS Programming This foundation course focuses on the following key areas: reading raw data files and SAS data sets; investigating and summarizing data by generatingg frequency tables and descriptive statistics; creating SAS variables and recoding data values; sub setting data; combining multiple SAS files; creating listing, summary, HTML, and graph reports. Advance SAS Programming This intermediate course focuses on using SQL as a data query and manipulation tool. You learn to use the SQL procedure as a data retrieval tool within SAS programs. Specifically, you learn how to perform queries on data; retrieve data from multiple tables; create views, indexes, and tables; and update or delete values in existing tables and views. Using features of the SQL procedure to debug, test and optimize the performance of SQL queries is also discussed. It also focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with and without macro code are processed. Analyst Applications of SAS The Analyst Application is a point-and-clicare performed primarily by using procedures in base SAS and SAS/STAT software althoughh some analyses are interface to basic statistical analyses in the SAS System. These analyses carried out with the use of specially written SAS macros. SAS Enterprise Guide SAS Enterprise Guide is a point-and-click, menu- and wizard-driven tool enabling data analysis and results publishing. It saves customers time and money and builds on their SAS investment. Coders can use existing programs to create stored processes that can be run on demand and ported to a Microsoft Excel spreadsheet. Excel VBA Application Development VBA is the acronym for Visual Basic for Applications. It is an integration of the Microsoft's event-driven programming language Visual Basic with Microsoft Office applications - Microsoft Excel. By running VBA within the

9 Microsoft Office applications, you can build customized solutions and programs to enhancee the capabilities of those applications. Here we will be learning to Work with 1. VBA objects, properties, and methods 2. Run a sub procedure 3. Create a macro using the macro recorder 4. Create UserForm to Input Data (with proper validations) 5. Input/Output of Data with other Applications SPSS- Predictive Analytics SPSS is the acronym for Statistical Package for the Social Sciences. SPSS (Statistical Package for the Social Sciences) has now been in development for more than thirty years. Originally developed as a programming language for conducting statistical analysis, it has grown into a complex and powerful application with now uses both a graphical and a syntactical interface and provides various functions for managing, analyzing, and presenting data. Its statistical capabilities alone range from simple percentages to complex analyses of variance, multiple regressions, and general linear models. SPSS also provides extensive data management functions, along with a complex and powerful programming language. In this module, you will be exploring the various functions for managing your data, conducting statistical analyses, creating tables and charts, and preparing your output for incorporation into external files such as spreadsheets and word processors. PROGRAM DURATION Base SAS Programming 48 Hours SAS Enterprise Guide 18 Hours Advance SAS Programming 40 Hours Excel VBA Application 24 Hours Analyst Application of SAS 24 Hours SPSS- Predictive Analysis 24 Hours For any further details please call: Noida: C-97, Sec-2, Noida , Uttar Pradesh, Tel: , Mob: Kolkata: BG-5, Sec-II, Salt Lake City, Kol-91, Tel: /18, Mob: info@nivtindia.com Website: