This document discusses the importance of data communication for managers. It notes that while data scientists analyze data, managers must communicate insights to key stakeholders to enable effective decision making. Managers can now make decisions based on data rather than intuition. The document provides examples showing that communicating research findings can lead to adoption of ideas or creation of new businesses. It outlines a framework for communicating data that involves defining a business problem, measuring relevant variables, collecting and analyzing available data, developing initial and refined solutions, and communicating the business impact. The overall message is that data is only valuable if insights are effectively communicated.
How to Get Started or Expand Your Learning Analytics ProgramWatershed
Watershed co-hosted a workshop with ATD Nashville and Rustici Software to help L&D pros get started with learning analytics. Facilitators Mike Rustici and John Mattox, Ph.D., explored the five steps of learning analytics and helped attendees choose the right approach for their learning analytics programs.
You’ve found the perfect technology solution that meets all of your L&D analytics needs, but there’s one looming challenge—gaining executive approval.
We’ve all been there.
However, it’s easier than you might think. Hear firsthand from someone who’s been there and made it happen. In this webinar, Andy Webb, director of training at Applied Industrial Technologies, shares his experience and helps you:
• Understand leadership’s needs and motivations.
• Recognize financial metrics and KPIs to frame your learning program in a language leadership understands.
• Better engage leadership throughout your LRS or L&D initiative.
WiDS - Unleashing the promises of big dataYara Jubran
Due to the rapid development of information and computer technologies, nowadays we can generate, store and process big data more than ever. Consequently, organizations can benefit from this significant development as it allows them to have more data at their disposal. However, for organizations to benefit from available data, the data must be processed, extracted and converted into useful information that may lead to taking informed decision. Yet, this is easier said than done.
While there is a shared understanding of big data’s power and importance, many fail to perceive the actionable steps and resources required to utilize it effectively. And this lack of strategic planning -which enables us to optimally use big data and take faster evidence-informed decisions- is one of the major impediments to successful completion of big data projects and initiatives.
The aim of this presentation is setting out a roadmap to simplify the shift onto the big data journey for businesses by answering ‘How to unleash the promises of big data within an organization?’ It will address the key factors to decode big data successfully and suggests a set of main steps to do it. The key steps are drawn from multiple domains and case studies that are each deemed to constitute the strategic plan.
How to Get Started or Expand Your Learning Analytics ProgramWatershed
Watershed co-hosted a workshop with ATD Nashville and Rustici Software to help L&D pros get started with learning analytics. Facilitators Mike Rustici and John Mattox, Ph.D., explored the five steps of learning analytics and helped attendees choose the right approach for their learning analytics programs.
You’ve found the perfect technology solution that meets all of your L&D analytics needs, but there’s one looming challenge—gaining executive approval.
We’ve all been there.
However, it’s easier than you might think. Hear firsthand from someone who’s been there and made it happen. In this webinar, Andy Webb, director of training at Applied Industrial Technologies, shares his experience and helps you:
• Understand leadership’s needs and motivations.
• Recognize financial metrics and KPIs to frame your learning program in a language leadership understands.
• Better engage leadership throughout your LRS or L&D initiative.
WiDS - Unleashing the promises of big dataYara Jubran
Due to the rapid development of information and computer technologies, nowadays we can generate, store and process big data more than ever. Consequently, organizations can benefit from this significant development as it allows them to have more data at their disposal. However, for organizations to benefit from available data, the data must be processed, extracted and converted into useful information that may lead to taking informed decision. Yet, this is easier said than done.
While there is a shared understanding of big data’s power and importance, many fail to perceive the actionable steps and resources required to utilize it effectively. And this lack of strategic planning -which enables us to optimally use big data and take faster evidence-informed decisions- is one of the major impediments to successful completion of big data projects and initiatives.
The aim of this presentation is setting out a roadmap to simplify the shift onto the big data journey for businesses by answering ‘How to unleash the promises of big data within an organization?’ It will address the key factors to decode big data successfully and suggests a set of main steps to do it. The key steps are drawn from multiple domains and case studies that are each deemed to constitute the strategic plan.
Predictive Data Analytics to Help Your CustomersExperian_US
The @ExperianDataLab hosts a #DataTalk on Thursdays at 5 p.m. ET on Twitter. Join us.
This week, we talked about data preparation, model evaluation, testing effectiveness of predictive analytics, challenges, and trends in predictive analytics.
We learned from Michael Beygelman, Co-founder and CEO of Joberate and Berry Diepeveen, Partner and Enterprise Intelligence Leader at EY in South Africa, and Chuck Robida, Chief Scientist for Experian Decision Analytics.
Learn about past and upcoming chats at:
http://experian.com/datatalk
Measuring Success introduces nonprofit professionals to proven techniques on how to move from anecdotal to data-driven decision making and steer your organization to success. Gain insights on how to focus your limited organizational time and energies on the issues that are supported by data instead of anecdotes. Learn techniques for using data to track and measure progress over time, report impact to stakeholders, and manage toward success.
How To Make The Most Out of Enterprise DataSnapShot
CHAT 2016 - China Hotel And Tourism Conference Presentation by Stefan Tweraser. SnapShot Hotel Analytics CEO Stefan Tweraser explains how business leaders can make the most out of the data available to them.
Data science is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies. Mining large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.
Measuring the Business Impact of Learning: Lagging indicators to predictive a...Watershed
Under increasing pressure to show the value of learning investment, L&D departments are facing a changing learning landscape. LEO alongside Watershed recently conducted research on the appetite for measuring learning impact.
Join LEO and Watershed, who have used their extensive combined reach to bring together views from industry experts, for an exploration of practical ways to set strategy and get started in measuring the business impact of learning. This webinar will draw upon findings from LEO’s 2017 Measuring Impact insight and explore challenges from some of the world’s leading organizations.
Join the webinar to discover:
Steps to create a strategy for measuring the business impact of learning in your organization
The role of data analytics in L&D
How to build great business cases for future L&D investment
How to make business impact measurement sustainable
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
One of the easiest ways to improve the quality of information that you are able to provide is by simply sourcing good data. This presentation will show you the best practices for sourcing data to ensure that it is trusted, credible and reliable.
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDATAVERSITY
Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets.
This webinar will compare and contrast these different data analysis activities and cover:
- Statistical Analysis – forming a hypothesis, identifying appropriate sources and proving / disproving the hypothesis
- Descriptive Data Analytics – finding patterns
- Predictive Analytics – creating models of behavior
- Prescriptive Analytics – acting on insight
- How the analytic environment differs for each
Data Sourcing Best Practices for Reporting (Webinar slides)Yellowfin
Why watch?
Are you trapped in reporting hell?
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
Watch this on-demand Webinar from SolveXia and Yellowfin – Data Sourcing Best Practices for Reporting – to discover how to build reliable supply chains of data in just 30-minutes. Learn how to quickly and easily go from source data to killer report – every time.
Only dependable and repeatable processes can produce quality data and reports. Ensure your reporting generates the business insights you need. Let SolveXia and Yellowfin show you how.
What will you learn?
Think the ability to deliver world-class, up-to-date and accurate reports that anyone can access, analyze and act on is important? Then this Webinar is a must.
Watch the on-demand version to learn how to:
•Create business critical reports on which you and your organization can rely
•Deliver sleek, sexy and intuitive charts, reports and dashboards to anyone, anywhere, anytime on any device
•Become the information Superhero you were meant to be!
The data that underpins any reporting system must be managed properly to make sure it’s clean, relevant and delivered in a timely manner to maximize the ability of enterprise BI solutions to produce actionable insights. Do you know how?
You are a designer, or a coder, or a manager. Maybe you are even a unicorn. But you are not a data scientist. Still, you want to get more out of the mountain of data you have about your site or app to create a better user experience. No problem. Learn a process of data thinking that will help you to analyze, visualize, and really use data about your website or app without all the bothersome math and python programming.
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
Predictive Data Analytics to Help Your CustomersExperian_US
The @ExperianDataLab hosts a #DataTalk on Thursdays at 5 p.m. ET on Twitter. Join us.
This week, we talked about data preparation, model evaluation, testing effectiveness of predictive analytics, challenges, and trends in predictive analytics.
We learned from Michael Beygelman, Co-founder and CEO of Joberate and Berry Diepeveen, Partner and Enterprise Intelligence Leader at EY in South Africa, and Chuck Robida, Chief Scientist for Experian Decision Analytics.
Learn about past and upcoming chats at:
http://experian.com/datatalk
Measuring Success introduces nonprofit professionals to proven techniques on how to move from anecdotal to data-driven decision making and steer your organization to success. Gain insights on how to focus your limited organizational time and energies on the issues that are supported by data instead of anecdotes. Learn techniques for using data to track and measure progress over time, report impact to stakeholders, and manage toward success.
How To Make The Most Out of Enterprise DataSnapShot
CHAT 2016 - China Hotel And Tourism Conference Presentation by Stefan Tweraser. SnapShot Hotel Analytics CEO Stefan Tweraser explains how business leaders can make the most out of the data available to them.
Data science is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies. Mining large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.
Measuring the Business Impact of Learning: Lagging indicators to predictive a...Watershed
Under increasing pressure to show the value of learning investment, L&D departments are facing a changing learning landscape. LEO alongside Watershed recently conducted research on the appetite for measuring learning impact.
Join LEO and Watershed, who have used their extensive combined reach to bring together views from industry experts, for an exploration of practical ways to set strategy and get started in measuring the business impact of learning. This webinar will draw upon findings from LEO’s 2017 Measuring Impact insight and explore challenges from some of the world’s leading organizations.
Join the webinar to discover:
Steps to create a strategy for measuring the business impact of learning in your organization
The role of data analytics in L&D
How to build great business cases for future L&D investment
How to make business impact measurement sustainable
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
One of the easiest ways to improve the quality of information that you are able to provide is by simply sourcing good data. This presentation will show you the best practices for sourcing data to ensure that it is trusted, credible and reliable.
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDATAVERSITY
Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets.
This webinar will compare and contrast these different data analysis activities and cover:
- Statistical Analysis – forming a hypothesis, identifying appropriate sources and proving / disproving the hypothesis
- Descriptive Data Analytics – finding patterns
- Predictive Analytics – creating models of behavior
- Prescriptive Analytics – acting on insight
- How the analytic environment differs for each
Data Sourcing Best Practices for Reporting (Webinar slides)Yellowfin
Why watch?
Are you trapped in reporting hell?
Do you spend hours struggling to manually produce the reports management demands? Are you working with disparate islands of outdated data? And, after all that hard work, are the reports produced inaccurate and untrustworthy?
Watch this on-demand Webinar from SolveXia and Yellowfin – Data Sourcing Best Practices for Reporting – to discover how to build reliable supply chains of data in just 30-minutes. Learn how to quickly and easily go from source data to killer report – every time.
Only dependable and repeatable processes can produce quality data and reports. Ensure your reporting generates the business insights you need. Let SolveXia and Yellowfin show you how.
What will you learn?
Think the ability to deliver world-class, up-to-date and accurate reports that anyone can access, analyze and act on is important? Then this Webinar is a must.
Watch the on-demand version to learn how to:
•Create business critical reports on which you and your organization can rely
•Deliver sleek, sexy and intuitive charts, reports and dashboards to anyone, anywhere, anytime on any device
•Become the information Superhero you were meant to be!
The data that underpins any reporting system must be managed properly to make sure it’s clean, relevant and delivered in a timely manner to maximize the ability of enterprise BI solutions to produce actionable insights. Do you know how?
You are a designer, or a coder, or a manager. Maybe you are even a unicorn. But you are not a data scientist. Still, you want to get more out of the mountain of data you have about your site or app to create a better user experience. No problem. Learn a process of data thinking that will help you to analyze, visualize, and really use data about your website or app without all the bothersome math and python programming.
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
Best Data Analytics Certification Course Training Institute in Malaysia: 360DigiTMG is the best Data Analytics using Python Training Institute In Malaysia providing Data Analytics Training Classes by real-time faculty with course material.
Data Analytics Integration in OrganizationsKavika Roy
What is data analytics and how it is used by large organizations to support strategic and organizational decisions.?
Read the full article to know more
https://www.datatobiz.com/blog/integrating-data-analytics-organizations-professional/
How Do I Get a Job in Data Science? | People Ask Googleprateek kumar
One of the most common questions that aspiring data scientists ask is – ‘how do I get a data science job?’ There are many professionals looking to transition to data science but don’t know how. Therefore, this blog explains how you can get a data science job.
What to Know Before Applying
I want to make one thing clear at the start – getting a data science job is not easy. Sure, there are scores of openings and many companies are looking to hire data scientists so that they can gain an edge over their competitors using data.
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
This presentation highlights 4 principles that HR must follow to drive decision making with data.
Paradoxically, with tech tools thriving in HR today, there is more noise than ever.
In order to gain the most from your data and derive meaningful insights, it is important to take a step back. These 4 principles will help you start thinking about data to help you map out where and why you need it, how to structure and manage it, and what to do with it.
Data literacy is now a sought-after ability for many workers. To begin, leaders must be aware of data literacy and develop a common language for learning.
How to Measure What Matters:
What is a KPI and what makes a good one?
Who should be involved in data driven decision making in your business?
What tools do you need to start being data-driven?
What should you measure?
Next Steps & Best Practices
Everyone is a data scientist today, but that is impossible. How do you spot the real data scientist from the fake? Some people just lie. Don't be fooled this presentation will help find the fools
See big data is a hype or a reality. With so much of information available, is your company care about using data analytics or doesn't bother to even think about it.
Business decisions are not based on data only but an individual's risk taking ability. Sebastian Wernicke explains this characteristic with examples of Netflix, Amazon and Google.
Stop searching for that elusive data scientistAbhi Rana
Look beyond the charm of data scientist in the organisation and find easy, quick and low-cost solutions. Team collaboration and peer learning is one the best way for small firms.
How data visualization will help in your career and why one should choose it.
See this video of Hans Rosling, a master of data visualisation: https://www.youtube.com/watch?v=jbkSRLYSojo
Big data is useful in many ways. But what are they and how they impact our lives. Is it the the ultimate thing that will drive our goals in future? Let's find out. What do we do with all this big data.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. DATA is the need of the hour.
With majority of the business
doing online transections and
communication, with each
transection there is a large amount
of data associated. It is data
scientist’s job to analyse and
visualise the data but a manager
needs to communicate to major
stakeholders in the organization for
effective decision making.
3. Data and
Manager.
Manger now do not
have to take decisions
based on intuitions but
based on data. Hence, a
manager with strong
quantitative skills has
become increasingly
valuable to the
company.
“McKinsey Global Institute
report on big data, we’ll need
over 1.5 million more data-
savvy managers to take
advantage of all the data we
generate.”
4. “You don’t need to become
a winemaker to become a
wine connoisseur.
Managers do not need to
become quant jocks.”
Xiao-Li Meng
Dean of the Harvard Graduate School of Arts and Sciences
5. Today, you open
one data file,
analyse it and then
store it just to never
see it again.
But a good
manager realises
importance of each
data and will gather
meaningful
interpretation and
communicate to
higher levels of
management.
6. What if you don’t communicate your work?
“Gregor Mendel discovered the
concept of genetic inheritance, his
ideas were not adopted during his
lifetime because he only published his
findings in an obscure Moravian
scientific journal, a few reprints of
which he mailed to leading scientists.”
7. The lesson: If you’re going to spend the better
part of a
decade on a research project, also put some time
and effort into disseminating your results.
What if you don’t communicate your work?
8. What if you do communicate your work?
“Dr. John conducted research a study
on marriage equation to find out how
likely a marriage is to last over the long
term. His conclusion led him to
establish a non-profit research
organisation and for-profit organisation
to improve life of married couples.”
Dr. John Gottman
Executive Director, Relationship
Research Institute,
9. What if you do communicate your work?
The lesson: If you present your findings and
analyse them wisely, it can lead to expansion or
creation of a new business idea.
10. Framework for communicating data
Business
problem
Defining a problem is first step towards
any project. There is a thin line between a
Problem Definition and Problem
Symptoms. Hence, analyse wisely.
11. Framework for communicating data
Business
problem
Measure
Measure the parameter on which you
want to research. It is important that you
properly define your variable and
framework of study which will help you to
look at data from a different angle.
12. Framework for communicating data
Business
problem
Measure
Data
available
Collect and analyse data for the variable
you have selected. You can also add more
variable after pre-study if it is necessary.
Make a plan to gather data and analyse
with proper tools.
13. Framework for communicating data
Business
problem
Measure
Data
available
Initial
solution
Find out initial solution. Here initial
solution will guide you to how your final
results will look like and is this study in
parallel to your initial hypothesis or not.
14. Framework for communicating data
Business
problem
Measure
Data
available
Initial
solution
The
solution
Improve your previous solution and refine
your data. Use tools for data visualisation
such as charts and infographics. Present
your finding and how this solution has
been achieved.
15. Framework for communicating data
Business
problem
Measure
Data
available
Initial
solution
The
solution
Business
impact
A solution must be align with business.
Solution which can affect business in
either way has to analyse before
implementing it. Here, we communicate
impact of this solution on business.