Enterprise Natural Language Processing - Implementation Toolkit (Excel XLSX)

The Enterprise Natural Language Processing (NPL) Toolkit includes a set of best-practice templates, step-by-step workplans, and maturity diagnostics for any Enterprise NPL 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 Enterprise Natural Language Processing 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 992 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Enterprise Natural Language Processing improvements can be made.

The Self-Assessment Excel Dashboard; with the Enterprise Natural Language Processing Self-Assessment and Scorecard you will develop a clear picture of which Enterprise Natural Language Processing 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 Enterprise Natural Language Processing 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 Enterprise Natural Language Processing projects with the 62 implementation resources. There are 62 step-by-step Enterprise Natural Language Processing Project Management Form Templates covering over 1500 Enterprise Natural Language Processing project requirements and success criteria.