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Data analytics four quarter action plan roadmap

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Presenting Data Analytics Four Quarter Action Plan Roadmap PowerPoint Template. This PPT presentation is Google Slides compatible hence it is easily accessible. You can download and save this PowerPoint layout in different formats like PDF, PNG, and JPG. This PPT theme is available in both 4,3 and 16,9 aspect ratios. This PowerPoint template is customizable so you can modify the font size, font type, color, and shapes as per your requirements.

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Content of this Powerpoint Presentation

Description:

The image showcases a PowerPoint slide titled "Data Analytics Four Quarter Action Plan Roadmap," which is a strategic planning tool for laying out data analytics initiatives over the course of a year, broken down by quarters (Q1 to Q4 2020).

The slide contains the following text elements:

Each quarter is represented by a distinct phase in the data analytics journey:

Q1 2020: 

Platform & services, focusing on developing data infrastructure, engaging in multiple services and frameworks, and conducting gap analysis.

Q2 2020: 

Curate & standardize data, aiming to set data 'free' through registration of data with variations, integration of user profiles for transaction history, and developing consumption patterns.

Q3 2020: 

Business Value, working on return on investment (R.O.I) by facilitating deep learning, leveraging machines for AI implementation, and democratizing data.

Q4 2020: 

Learning & Insights, and Monetize, where the focus is on deploying data analytics and scientists, simplifying operations, and monetizing data for customers.

Use Cases:

This type of slide is applicable across a variety of industries for strategic planning and presentation of data analytics initiatives:

1. Technology:

Use: Mapping out data analytics development phases.

Presenter: Chief Technology Officer

Audience: IT department, stakeholders

2. Healthcare:

Use: Planning data management for patient care analytics.

Presenter: Healthcare Data Analyst

Audience: Hospital administrators, clinical staff

3. Finance:

Use: Outlining data strategy for financial forecasting.

Presenter: Financial Planner

Audience: Investment teams, corporate clients

4. Retail:

Use: Scheduling customer data analysis for market targeting.

Presenter: Marketing Manager

Audience: Sales teams, marketing departments

5. Manufacturing:

Use: Implementing data analytics for supply chain optimization.

Presenter: Operations Director

Audience: Supply chain managers, operational staff

6. Education:

Use: Structuring data systems for educational outcomes analysis.

Presenter: Academic Researcher

Audience: Educational administrators, policy makers

7. E-commerce:

Use: Quarterly data action plan for customer behavior analysis.

Presenter: E-commerce Strategist

Audience: E-commerce team, marketing experts

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  1. 100%

    by Dennis Stone

    Very well designed and informative templates.
  2. 80%

    by Garcia Ortiz

    Very well designed and informative templates.
  3. 80%

    by Robert Young

    Top Quality presentations that are easily editable.

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