Data Literacy

“Be the change you want to see in the world” – Mahatma Gandhi

“Be the Change you want to see in your organization” – Aryng Team

Why Data Literacy?

Decisions are being made in every corner of the organization. These small decisions cumulatively make a big difference. When each and every individual decision maker of your organization can marry intuition with data then business decisions are fully optimized and grounded in reality.

How to build data literacy?

It is a process of change, it is just not about training individuals to read and understand data and graphs, it is about an organizational shift towards it. It is a 5 step process

  1. Defining Data Literacy for the organization: Here, you need to define what is Data Literacy and also its levels that individual employees need to achieve. Conducting Voice of Executive, defining the target audience – personas – and mapping the skills of employees would do the trick.
  2. Analytics Maturity Assessment: After each persona understands the end goal of the Data Literacy project, the employees’ skill level needs to be assessed.
  3. Planning a stratified learning solution and success metrics: Once the gap between the desired and current level of the employees’ Data Literacy has been identified per persona, we are ready to create and define the learning path that will lead you to the end goal of your Data Literacy project.
  4. Communication and Execution: Equipped with the plan, it is time to communicate it to the organization. This will inspire employees and promote their participation. You can now roll out the program and transform the company into a data-driven organization.
  5. Evaluation and Improvement: The plan from the third step needs to be executed, assessed, and then improvements be made for the parts that are slumping the growth of the company.


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4 Components of Analytics Maturity

A data-driven company shows analytics maturity in these four areas:

  1. Data-driven leadership – The leaders of the organization understand the power of data as well as analytics and have a strong motivation to lead by numbers.
  2. Data Literacy across the organization – Both the analytics and the non-analytics side of the organization have an appropriate level of Data Literacy.
  3. Decision-making process – There exists a mechanism to make decisions in the organization, which is aligned with the key drivers of the business so that everyone feels motivated to work on their project. It is so because the decision-makers understand how their work moves the key metrics and thereby adds value to the company.
  4. Data Maturity – There is a single source of truth for data, i.e. people can access data with ease and that data is accurate.

Our Clients


Corporate workshop

Erad F

Partner Technology Manager, Google

I liked the inquiry to Real Business Question framework a lot. My favorite part was the role-playing, as it made it clear how the questions we get are complex to even understand, and [without the framework] will require a lot of work to get to the “Real business question.

Corporate workshop

Anurag Pandit

Product Manager, Box Inc

Great course to refresh Critical skills.

Corporate workshop


Customer Success Manager, Box Inc

I left today MORE CONFIDENT than ever to CONQUER BIG DATA. Thank You.

Executive Workshop

Bob Berry

CEO, DPS Telecom

The workshop was really wonderful – and your insights on how to keep the entire set of stake holders involved from the get go were right on target.

But, I have to tell you, the material from the session today was over the top. And some of the information was stuff we already know, but was really displayed and demonstrated in such an actionable way – the “eye chart” which broke the Corporate Goal into the directly correlated actions was AWESOME. Additionally, the chart that broke the segments of Monetize, de-focus, clone, grow and showed them in a chart with separate action plans for each segment was again so Powerful. It was wonderful spending a little time with you and your team.

Corporate Consulting

James B

VP - Engineering, IMVU Inc

IMVU engaged with Aryng for strategic guidance on scaling and improving our data infrastructure and analytics capabilities...the Aryng team exhibited the experience and gravitas required to provide excellent feedback and actionable suggestions that we are using to drive powerful changes in the ways we collect, analyze and use data throughout the company.

Corporate workshop

Ashok D

Business System Analyst, PayPal

I feel This training was great for me as I learned a structured approach in drafting right business questions, constructing an efficient analysis and data collection plan, and deriving actionable insights to aid the key business decisions. As being a ‘data’ guy assisting business leaders and key stake holders, I believe I can leverage the methodologies and practical techniques learned from this course to deliver results in a more concise and timely fashion and indeed I have started reaping out the benefits of this course already. I would recommend this course for anyone who is interested in expanding their knowledge base in Analytics area with a great learning opportunity from the senior experts in this field of study.

Corporate workshop

Tauseef A

Data Analyst, eBay Inc

I really enjoyed and learned a lot. The hands on exercises were great. I found the training very useful specially in Extracting real Business question from the Users requirement, follow a framework for Analysis, laying out hypothesis and substantiating it with facts. Creating effective presentation and excellent tips for Excel. I am already using your framework to address and plan better the initiatives I am involved here. I can say that now whatever I am doing I am thinking through it in a more structured way. I highly recommend this training for my peers.

Corporate workshop

Clarissa M

Business Development Manager, Box Inc

The Aryng workshop provided me with a framework for making better data-driven decisions.

Corporate workshop

Luke S

Business Intelligence Tech Lead, Google

I used the [Aryng’s Data Analytics] framework yesterday and it worked like a charm! Thanks Aryng.

Corporate workshop

Anji K

Data Management Analyst, PayPal

Thank you for taking time for training us , sharing your Experiences and Best Practices it really helped me. I am sure BA & BSA’s would benefit from this Training. Structured approach, Framework, Hands on case simulation & Testing… are key takeaways for me.

FREE Corporate Consulting

David Bernstein

VP Data and Analytics Advisory Division, eQuest

Don’t be fooled by the word, Trainee.  Aryng’s Trainees are nothing like a typical trainee or intern type of program.  The quality of the Aryng curriculum is clearly evident based both on the caliber of the student the program attracts as well from the how adroitly the Trainee was able to apply the concepts of what they had learned to eQuest’s business data.  Most importantly, the interpretation of the analysis was top-notch.  I look forward to continue working with future Trainee’s from Aryng.

Corporate workshop

Jin-Kyung K

Project Manager, Box Inc

I learned a lot today and feel more confident in my analytics abilities.

Corporate Consulting

Saureen Adani

Head - Technology, Meltag

Aryng was a fantastic business partner. We were able to provide less ­than ­perfect concept backed by raw data and they helped us to enable rich, meaningful & actionable insights. Team Aryng has shown the ability to utilise different statistical approach to address business questions. CLTV modelling is one example that Aryng demonstrated innovation on the modelling framework. Meltag's engagement with Aryng was extremely fruitful and would recommend to anyone who need kick-ass analysis basis the business case.