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Big Data Systems Access Rules

Blog#2: The Big Data System Access Rule

By Shaku Atre

Copyright by Atre Group, Inc. Jan 20, 2013

Now that we have shifted our focus from “Big” to “Data” as in “Big Data” we should consider the Rule # 2 – the “Big Data System Access Rule” from the following framework of our “Big Data Systems”

Shaku Atre’s Top Ten Rules of Big Data Systems

  1. The Big Data System for Business Analytics Rule
  2. The Big Data System Access Rule
  3. The Big Data System Scalability Rule
  4. The Big Data System Flexibility Rule
  5. The Big Data System Security and Privacy Rule
  6. The Big Data System Visualization & Data Mining Rule
  7. The Big Data System Dispersion and Reassembly Rule
  8. The Big Data System Dormant Data Access Rule
  9. The Big Data System Skill Set Rule
  10. The Big Data System “Big Human Judgment” Rule

We will try to handle one rule at a time. Here we go!

The basic economic principle that has proven to be the solid foundation for any economy for ages has been the simple “Supply and Demand” principle. We may have humongous supply of data – we labeled it “Big Data” qualifying V⁵ of:

  • Variety of Data,
  • Various Interactions due to correlations between data,
  • Velocity of data arrival and departure,
  • Providing big Value to the business via Business Analytics ,
  • And lastly Volume of data


But what good is the Big Data if we don’t have “Big Demand” for this Big Data? And Big Demand usually will imply Big Number of Varied Types of Users.

We have now ever demanding and increasingly diverse user groups of the Big Data due to

  • commoditization of means to create and access of the data,
  • globalization with increasing number of users at a dizzying speed from the emerging markets,
  • and addiction to mobile devices for people throughout the world.
  • As a result of user adaptation as well as acceptance of the easily available information the business performance can improve tremendously to support our quest for better business analytics. But we need to consider all different types of users. In the past most of the times only power-user requirements were taken into account, because they made the “loudest noise” while deciding on a solution that would mostly be used by business users other than the “power users”.

And what are these varied users looking for in the form of information with Business Analytics?


What does this big demand of big data mean for the IT – they have to understand and appreciate the following theme of providing access to the Big Data:

  • All these years instead of developing User Friendly Systems we have looked for System Friendly Users: And that doesn’t work any longer! We have to supply information that will satisfy the following Big Data System Access Criteria :
  • Usability that is uncompromising
  • Content quality that is consistent
  • Information that has unparalleled Integrity
  • Disparate information sources that are accessed easily
  • And scalability that is almost exponential

A tall order! What is it that we need to do to climb up the ladder without tumbling down? 

Rule #2: The Big Data System Access Rule

For a system to qualify as a Big Data System it must address the needs of all types of users, their varied demands, and various technologies they are using.

Let us see whether the demography of our varied user groups is changing as we speak?


Providing information and satisfying the big data system criteria above will enable IT departments to standardize on data accessibility techniques, while allowing disparate user groups to customize their views, queries and reports based on their unique, distinct and at the same time disparate needs for the best results with Business Analytics.

Uncompromising Usability of the Business Analytics applications environment is the key to 100% acceptance by the extended enterprise consisting of employees, suppliers, partners and customers. Only the ability to provide relevant information, accurately, quickly and consistently will make the mountains of data into palatable information for the diverse and starving user groups. Isn’t that what a superb Business Analytics system is supposed to accomplish? And that too in a User Friendly way?

Come to think of it: What is really User Friendly? We have used this term almost for a couple of decades.  Because of the frequency of usage of the term, resulting into familiarity, we think we know what it means. But the term the way we understand is really “fuzzy”.  We should be able to express the “user friendliness” in numbers! That is when we can measure the “user friendliness” of any computerized system! And beyond user friendliness we should strive for developing our Business Analytics applications that are User Intuitive!

What is User-Friendliness and User-Intuitiveness?

Declaring something “user-friendly” isn’t enough…

Express user-friendliness in numbers:


If we have satisfied the Big Data System Access Criteria

  • Usability that is uncompromising
  • Content quality that is consistent
  • Information that has unparalleled Integrity
  • Disparate information sources that are accessed easily
  • And scalability that is almost exponential

In a user friendly/ user intuitive way we may claim that we have satisfied the Rule #2 The Big Data System Access Rule

In the next blog #3 we will cover: The Big Data System Scalability Rule

For a system to qualify as a Big Data System, it must be scalable with Big Data in Motion and Humongous Data at rest


About the Author

Shaku Atre is an accomplished entrepreneur and a passionate advocate for helping women around the world develop skills to gain financial independence. Using her own micro-lending money, she has helped a number of young women become successful entrepreneurs in the U.S. and in India. She is a computer technologist who has worked with IBM, the FBI, AT&T, and many other prestigious organizations worldwide, and was a partner at Price Waterhouse Coopers. With her relentless drive to learn new skills, she has achieved her goal of financial independence.


  1. Shital
    Posted on May 22, 2017 at 8:51 am

    hello this is test message….

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