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Today, the business environment is very complex and dynamic. Surviving in such a dynamic business environment needs a lot of research and knowledge about past data. There comes the entry of data analytics.
Data analytics is the science to examine data to find the trends in order to draw conclusions about the information obtained from the given data. Data analytics helps data analysts in research and business to use it to inform their decision. Today, data analytics is done with the aid of specialized systems and software. It enables organization to make well-informed decisions. Data analytics help in forming various policies and strategies that will further help the business to expand its horizon.
This playbook helps the industries and organizations in increasing revenue, forecasting the demand of the product, engaging in different marketing segmentation, optimizing the campaign and improving operational efficiency. Data analytics enable the business to respond quickly to emerging industrial and marketing trends and gain a competitive advantage edge over competitors. The overall goal is to improve business performance.
Why Organization Needs Data Analytical Playbook?
# Product Development
Data analytics aids in both the estimation and exploration part for information. It allows one to understand market trends which offers a solid base for forecasting future results. Data analytics examine the market in such a way that gives the company the scope to develop a new product to grab the maximum target audience.
# Operational Efficiency
Data analytics helps companies to identify the potential opportunities to streamline their operations or maximize profit. It aids in identifying the problems, eliminating the time gap, and allows the companies to see which operations have yielded the best overall results under various conditions.
# Reduce Cost
The data analytics playbook will help the organization in reducing the cost, by forecasting the demand of a product. With the given information organization can start with early production, and optimum utilization of resources helps in reducing the cost.
Best Data Analytical Playbook Template Prepared by SlideTeam
SlideTeam has prepared a clean, simple, and easy-to-use template to help you create your data analytics playbook. A data analytical tool is used to extract the information from the data to make useful responses. This playbook is used by those companies that have adopted data analytics as a part of their expert system to properly store the data and extract its knowledge out of it.
Let’s look into some of the important slides in the playbook:
Slide 1: Data Analytics Playbook- Cover Page
Start your data analytics playbook PPT with a competent and insightful cover page. It will present your playbook title and company name with a remarkable image.
Thus, this slide displays the title i.e. Data Analytics Playbook, and your company name.
State the reason for constructing a data analytics playbook with the importance and its guideline.
After that, you can start with the principal elements and the purpose of the data analytics playbook.
Slide2: Purpose of Data Analytic Playbook
This slide highlights the purpose of the playbook, that is for what purpose the data analytical is adopted by the organization.
The purpose is an essential part as it will tell the essence behind the playbook construction. It instantly links the purpose with the problem and provides an effective solution.
Shift the business from simple dashboard and to get intelligent insight through AI-powered dashboard. It is to be done to upgrade analytics and business intelligence programme the data analytics solve further other purposes as well.
You can add different purposes your organization is looking for in the slide.
Slide3: Escalating the Values of Data and Analytics
In this template you can cover the facts about data analytics, bigdata, business intelligence. This slide depicts that how enterprise data and analytical solution drive the growth and revenue when optimized by the different department of organization.
You can statistically represent that how much organizations department depend upon data analytics, and how it leads to the growth of overall organization.
From financing department to marketing department to R&D data analytical all need data analytics to extract the information.
Slide4: Requirement of Data Management in Bi Project
In this slide you can cover the reason for the need of data management in the organization.
Data analytical playbook helps in data management by minimizing the data movement and attention to data security.
You can add the requirement of data management in the template as per the organizations need. You can always edit and make changes in the slide.
Slide5: the Problem with Today’s Bi Projects- Data Analytical Playbook
You can mention the challenges faced by organization to control BI data. Illustrate the need for data analytics in the organization and the problem faced by the company for its proper installation.
Mention the number of backlogs faced by the company due to increase in data driven insights. All the difficulties business has to face related to manage data insights.
Slide6: How to Fix the Business Intelligence Problem- Data Analytical Playbook
After knowing the problem faced in BI projects, now mention the solutions to fix the business intelligence problem.
Draw the attention towards the ways to transform analytics and business intelligence programme and switch to next generation analytics platform that give business users data driven insights.
You can add and edit the text in the template as per the requirement of company.
Slide7: Search Driven Analytical Challenges: Low Bi Adoption Rate and Poor User Experience
There are a lot of problems faced while implementing search driven analytics in the organization.
Challenges can be low BI adoption and poor user experience can stifle adoption.
You can mention the problems and complexity faced by the employees and any fundamental challenges organization has to deal with.
Slide8: How to Overcome Search Driven Analytical Barriers
It is necessary to draw the attention on how to overcome the driven analytical barrier by mentioning the steps taken be the organization.
This template depicts that intuitive search driven analytics gives user an easy way to ask questions, receive suggestion related to what to query and give visualize data.
You can also add if the organization has adopted a simple and user-friendly analytical system that can be used by employees with ease.
Slide9: Automated Data Analysis Powered by Machine Learning Challenges
In this template cover the challenges faced by the organization while implementing automated data analysis powered by machine learning.
Challenges are delay in important analytical information, data lag and reduction in operational efficiency.
You can describe how data lag create real problem and business user wait too long for answer. You can add various other issues faced by the company.
Slide10: How to Overcome Automated Data Analysis Powered by Ml Challenges
In this slide you draw attention towards the way to overcome the barrier of automated data analysis powered by ML challenges.
This template will depict automated discovery of insights utilizes machine learning algorithm to perform complex segmentation, anomaly detection and trend-based analysis.
You can statistically illustrate the segment vice analysis in this template.
Slide11: Automated Discovery of Insight Challenges
This template covers the problem while implementing automated discovery of insights in the organisation.
The challenges are that traditional BI only succeeds when user know right question to ask and organization often miss out on the hidden interpretation of data, which can be the material information.
Make a list of challenges faced by the organization in automated discovery of insight challenges.
Slide12: How to Overcome Automated Discovery of Insight Challenges
Under this slide we will draw the attention towards the solutions to overcome the barrier of automated discovery of insight challenges.
This template will illustrate the need of intelligent analytic platform that can automatically discover valuable insights from the data.
And the next generation analytic platform act as an analyst highlighting insight that will help the organization become proactive.
Conclusion
The data analytics playbook is a set of template that is informative, easy to use and well-designed document. This playbook helps to describe the process behind the adoption of data analytics in the organization. It takes into consideration all the problem faced while adopting with its effective solution to overcome such problem. Data analytical playbook helps the team to understand how and where they can benefit from data analytics. The document contains the purpose, challenges involved with their solution, roadmap etc.
Download this ready to use data analytics playbook template, you can make necessary edit in the text as per your requirement. And call us directly at +1-408-659-4170 for further queries and our team will respond you in best possible way.
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