Big Data Analytics - Implementation Toolkit   Excel template (XLSX)
$249.00

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Big Data Analytics - Implementation Toolkit (Excel XLSX)

Excel (XLSX) + Zip archive file (ZIP)

$249.00

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Fully editable Excel
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BENEFITS OF DOCUMENT

  1. Support for ongoing projects on text understanding, machine reasoning, deep generative models, robust representation learning, few shot/zero shot learning, interpretable models, data visualization, deep learning systems, deep reinforcement learning, etc.
  2. Develop enterprise level asset intelligence BI reporting analytics environments to support Business Intelligence and Big Data Analytics.
  3. Provide input on design and testing of various forecasting methodologies as it relates to loyalty points balance, customer behavior, and propensity to buy.

DESCRIPTION

This product (Big Data Analytics - Implementation Toolkit) is an Excel template (XLSX) with a supplemental Zip archive file document, which you can download immediately upon purchase.

The Big Data Analytics Implementation Toolkit includes a set of best-practice templates, step-by-step workplans, and maturity diagnostics for any Big Data Analytics related project. Please note the above partial preview is ONLY of the Self Assessment Excel Dashboard, referenced in steps 1 and 2 (see below for more details).

Through a 3-step process, this toolkit will guide you from idea to implementation. Please find a below a summary of the 3 steps.

STEP 1: Get your bearings

Start with the latest quick edition of the Big Data Analytics Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a Data Driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation.

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which Big Data Analytics improvements can be made.

The Self-Assessment Excel Dashboard; with the Big Data Analytics Self-Assessment and Scorecard you will develop a clear picture of which Big Data Analytics areas need attention, which requirements you should focus on and who will be responsible for them:

•  Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
•  Gives you a professional Dashboard to guide and perform a thorough Big Data Analytics Self-Assessment
•  Is secure: Ensures offline Data Protection of your Self-Assessment results
•  Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next

STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Big Data Analytics projects with the 62 implementation resources. There are 62 step-by-step Big Data Analytics Project Management Form Templates covering over 1500 Big Data Analytics project requirements and success criteria.

Got a question about the product? Email us at support@flevy.com or ask the author directly by using the "Ask the Author a Question" form. If you cannot view the preview above this document description, go here to view the large preview instead.

Source: Best Practices in Analytics, Big Data, Business Intelligence Excel: Big Data Analytics - Implementation Toolkit Excel (XLSX) Spreadsheet, Gerard Blokdijk


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ABOUT THE AUTHOR

Additional documents from author: 335

Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

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