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BENEFITS OF DOCUMENT

  1. Diagnose Big Data projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  2. Implement evidence-based best practice strategies aligned with overall goals.
  3. Integrate recent advances in Big Data and process design strategies into practice according to best practice guidelines.

DOCUMENT DESCRIPTION

Here are several sample Big Data requirements:

*While a move from Oracle's MySQL may be necessary because of its inability to handle key big data use cases, why should that move involve a switch to Apache Cassandra and DataStax Enterprise?

* Do you see the need for actions in the area of standardisation (including both formal standards and the promotion of/agreement on de facto standards) related to your sector?

* New roles. Executives interested in leading a big data transition can start with two simple techniques. First, they can get in the habit of asking ñWhat do the data say?

* How we make effective use of the flood of data that will be produced will be a real big data challenge: should we keep it all or could we throw some away?

* Do you see the need to support the development and implementation of technical solutions that are enhancing data protection 'by design' and 'by default'?

* Do you see the need to clarify copyright aspects of the data-driven innovation (e.g. with respect to technologies such as text and data mining)?

* Have we let algorithms and large centralized data centres not only control the remembering but also the meaning and interpretation of the data?

* If this nomination is completed on behalf of the customer, has that customer been made aware of this nomination in advance of this submission?

* From all the data collected by your organisation, what is approximately the percentage that is further processed for value generation?

* What are the main obstacles that prevent you from having access to all the datasets that are relevant for your organisation?

Why Own The Big Data Self-Assessment?

The Big Data Self-Assessment will make you a Big Data domain expert by:

* Reducing the effort in the Big Data work to be done to get problems solved
* Ensuring that plans of action include every Big Data task and that every Big Data outcome is in place
* Saving time investigating strategic and tactical options and ensuring Big Data opportunity costs are low
* Delivering tailored Big Data advise instantly with structured going-forward plans

All the tools you need to an in-depth Big Data Self-Assessment. Featuring 912 new and updated case-based criteria, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data improvements can be made.

The above preview showcases an example of a completed version. The secondary document includes a blank template, as well as a detailed 150+ page PDF guide. The guide provides a convenient way to distribute and share among the participants to prepare and discuss the Self Assessment.

Got a question about the product? Email us at [email protected] or ask the author directly by using the form to the right. If you cannot view the preview above this document description, go here to view the large preview instead.

Source: Assessment Dashboard - Big Data Excel document

 
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Assessment Dashboard - Big Data

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File Type: Excel (xlsx)

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Initial upload date (first version): May 7, 2018
Most recent version published: May 7, 2018

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