About Us: Data Analytics Training

Aryng's Data Analytics Training
Business Analytics, Predictive Analytics, Web Analytics, Test & Learn, Marketing Analytics

Aryng provides “tool independent analytics recipe” of how to drive decisions based on data. In most organizations, User and System interactions are collated from multiple sources in Data Tools like Teradata, Oracle, SAP or they are federated using Hadoop Big Data systems. Data can then be accessed directly from these systems or can be effectively rendered through tools like Micro Strategy, Business Object, Cognos, Excel etc. Web Analytics tools like Omniture and Google Analytics are powerful hosted data systems where aggregate data can be rendered and visualized.

A lot of organizations now have well implemented and effectively scaled data tools which can give access to real time data in a matter of seconds. These are rendered in the form of reports, dashboards or raw data needing to be analyzed. Today, because of the data explosion, there are reports and dashboards everywhere. And because of this explosion, the information contained in each individual data set is smaller and smaller. As a result, deriving information from data is becoming more and more tricky. Most organizations now have well trained users of analytics tools like SAS , SPSS , R, Excel etc however without formal training in analytics, a lot of analytics projects lead to low or no impact in the organization.

Aryng provides industry proven framework on how to analyze data, derive insights, and then drive decisions based on those insights. We have done it at Fortune 100 companies; we can teach you how to do it as well! Your data can be sitting in any data tool, our recipe works irrespective of the data tools or the analysis tools.

Our Introduction to Predictive Analytics Training workshop is for Executives, Managers, Analysts and Business Intelligence(BI) Professionals, who want to understand the power of Predictive Analytics. The workshop includes:

1. Predictive Analytics Checklist (What it is/What it is not/ Why should you care)
2. In depth Predictive Analytics Case Study from Fortune 100 companies
3. Live model building and demo
4. 3-steps on Test and Learn (and common pitfalls)

Our Hands-on Business Analytics Training workshop is for BI Professionals, Business Analyst, Data Analyst, Web Analyst, Technology experts and Managers, who would like formal training in 5-steps Analytics Framework resulting in

1. Quicker insights (from 4 weeks to 1 week for average size projects)
2. Bigger impact (our workshop covers softer skills to effectively communicate insights and drive decisions by influencing and alignment.)
3. Reduced system usage (Our systematic structured approach to analytics reduces iterations and wasteful data pulls)

We also offer Analytics training for Product, Marketing and Sales Professionals with desire to make business decisions based on data. The common outcomes are

1. Better Strategic planning (we cover business plans and estimation for effective ROI based planning)
2. Effective read of Product launch, Marketing and Sales campaign (Our easy to follow 5-step Data to Decisions recipe executed in excel can be used to understand the effectiveness of campaign or product launch and tomake better data-driven decisions in future)
3. Better utilization of Data Scientist/Advanced Analytics teams supporting you (Our Predictive Analytics overview and effective partnership models helps you understand what kind of problem calls for utilizing advanced analytics techniques and how to structure it effectively)

To learn more about our approach to analytics, download one of our whitepapers today!

Our “Data to Decisions”™ Boot camp Series on Business, Predictive and Data Analytics

1. Enhances value chain of analytics
2. Enables integrative thinking
3. Improves utilization of scarce analytics resosurce

We believe in enabling, empowering and developing people; and delivering value to our stakeholders/ customers. Register for one of Aryng's data analytics training workshops today!

Workshop Schedule