Predictive analytics uses past data to predict future events and outcomes. It can help organizations differentiate themselves, reduce costs, increase knowledge of customers, and solve business problems without significantly impacting core processes. Predictive analytics outputs are easy for business users to understand and act on. KPMG's proven predictive analytics process extracts data from existing systems to build predictive models and integrate solutions seamlessly. Case studies demonstrate how predictive analytics helped a retail client improve store performance and a university identify at-risk students.
Whitepaper: Helping you test drive your Big data for a progressive journey aheadIntellectyx Inc
PAPER OVERVIEW
Today most of the industries such as Banking, Finance, Manufacturing, Retail, etc... face common big data issues and are in search of the right solution to resolve them.
Do any of the following big data issues sound familiar to you?
• Supply Chain Analytics
• Managing Trend Analysis
• Data Management
• Market Mix Modelling
• Inventory Optimization
• Profitability Analysis
• Consumer Insights, Predict Consumer Behavior, Loyalty Programs Management
• Reporting and Dashboards Solutions for Management
If your answer is ‘Yes’, then Big Data POC is the perfect solution to all your problems.
Artificial Intelligence - 3 Weeks to SuccessAndrew Painter
If you work for a company or department that lacks trained and
experienced Data Scientists then, your first Artificial Intelligence (AI) project can be delivered in 3 weeks. The secret is that the cool algorithms of predictive analytics and machine learning only take a few days to apply, train and test. The majority of time in your first project will be spent sourcing and preparing the data. At the end you will also need a couple of days to build the story so that non-statisticians (most of us) understand the answer. On a positive note, it gets quicker from there.
With Altis - You are just three weeks away from improving your organization and beginning your AI journey.
This presentation is contains slides explaining the basics of big data and predictive analytics.
It also shows how predictive analytics can be used by non programmers by off-the-shelf tools such as RapidMiner, Excel, etc.
The tool for the hands on/demo session in this presentation was RapidMiner 5.1 Community edition
This presentation was part of the talk delivered by T Ashok Founder & CEO STAG Software at the HSTC 2013: "Think Testing" Conference on Nov 21 & 22 at Hyderabad.
BM EN-001 Predictive Analytics for Business Managers - SCANBA CourseSCANBA
The Scandinavian Institute of Business Analytics provides business analytics consulting and training services to a wide array of companies from blue-chip multinationals to start-up firms.
Whitepaper: Helping you test drive your Big data for a progressive journey aheadIntellectyx Inc
PAPER OVERVIEW
Today most of the industries such as Banking, Finance, Manufacturing, Retail, etc... face common big data issues and are in search of the right solution to resolve them.
Do any of the following big data issues sound familiar to you?
• Supply Chain Analytics
• Managing Trend Analysis
• Data Management
• Market Mix Modelling
• Inventory Optimization
• Profitability Analysis
• Consumer Insights, Predict Consumer Behavior, Loyalty Programs Management
• Reporting and Dashboards Solutions for Management
If your answer is ‘Yes’, then Big Data POC is the perfect solution to all your problems.
Artificial Intelligence - 3 Weeks to SuccessAndrew Painter
If you work for a company or department that lacks trained and
experienced Data Scientists then, your first Artificial Intelligence (AI) project can be delivered in 3 weeks. The secret is that the cool algorithms of predictive analytics and machine learning only take a few days to apply, train and test. The majority of time in your first project will be spent sourcing and preparing the data. At the end you will also need a couple of days to build the story so that non-statisticians (most of us) understand the answer. On a positive note, it gets quicker from there.
With Altis - You are just three weeks away from improving your organization and beginning your AI journey.
This presentation is contains slides explaining the basics of big data and predictive analytics.
It also shows how predictive analytics can be used by non programmers by off-the-shelf tools such as RapidMiner, Excel, etc.
The tool for the hands on/demo session in this presentation was RapidMiner 5.1 Community edition
This presentation was part of the talk delivered by T Ashok Founder & CEO STAG Software at the HSTC 2013: "Think Testing" Conference on Nov 21 & 22 at Hyderabad.
BM EN-001 Predictive Analytics for Business Managers - SCANBA CourseSCANBA
The Scandinavian Institute of Business Analytics provides business analytics consulting and training services to a wide array of companies from blue-chip multinationals to start-up firms.
Empowered consumers, fueled by new technologies and ever-increasing expectations, are demanding more and more dynamic and relevant experiences from the brands they support in the Connected Age.
In this opening keynote presentation from #JBoye15, Scott Liewehr identifies the trends in customer experience management as well as the 10 organizational competencies that all organizations must have in order to succeed at CEM.
When you partner with NextGen Healthcare, you benefit
from our Implementation and Training professionals. You get a database built to your specifications and installed while we handle end user training, go-live support, and post-live assessment and optimization. We do that so you
can continue to practice medicine.
With the boom of Big Data and the advances in new technologies, Predictive Analytics has become a staple in big business, providing priceless insights and driving revenue. But how can you implement it? Which tools should you use? Where should you invest? Take your first step towards data-driven succes by joining the Predictive Analytics Innovation Summit in Chicago, on November 29 & 30 - More info: http://bit.ly/2eWX0RF
I have used some videos for a better understanding of Gut and Big Data so please go through them.
https://www.youtube.com/watch?v=XjmldAL9RQs
https://www.youtube.com/watch?v=DBQYSwhIYXk&t=20s
Delve into connected systems, experience-driven product discovery, and conversational applications to see how they're revolutionizing the customer engagement and commerce landscape. Delivering personalized, omnichannel experiences that leverage context, content, and cross-channel customer insights used to challenge marketers, but not any longer. Learn more: https://www.hybris.com/commerce
Realeyes is a technology company that uses computer vision to read faces and measure human emotion. Realeyes emotions platform provides a world leading solution for collecting and analysing facial response data of millions of consumers while consuming video content. The company’s goal is to help clients to get better results from their communications by providing accurate and actionable engagement metrics that traditional methods can’t deliver on scale. Clients include leading publishers, advertising agencies, research firms and numerous Fortune 500 brands.
Intelligent Enterprise: How to Create the Customer Experience of the Future? ...Catalina Arango
Customer experience is more important than ever. Even as ML technologies are more commonly used, many organization remain bewildered about what the different technologies can do and how they could be integrated in their business processes in order to drive positive customer experience. A look at examples of enterprises who have improved customer experience by applying advanced analytics into business processes.
NPS®: Benefit From the Passion of Your PromotersSatrix Solutions
It’s easy to get caught up in responding to negative feedback.However, it is just as critical to not lose sight of your most loyal advocates by keeping them satisfied and primed for growth opportunities. Read more: http://www.satrixsolutions.com/are-you-fully-capitalizing-on-your-nps-promoters/
Unlocking the Value of Usage Data March 20, 2014
Dan McGaw, Director of Marketing KISSmetrics @danielmcgaw
Puja Ramani, Director of Product Management & Analytics Gainsight @pramani #customersuccess #KISSwebinar
1 The Case for User Analytics, 2 Making User Analytics Actionable, 3 Realizing ROI
We Have Entered The Age Of The Customer
Customer data is everywhere
Welcome to our world of Customer Analytics.
How it works (it’s simple and powerful)
Your customer is at the heart of KISSmetrics
How effective is my signup process?
“You can’t maximize your revenue and profit unless you are tracking the lifetime value of each of your customers. And that’s what KISSmetrics does better than anyone else.” !! — Thomas (Zappos).
Which of my marketing channels has the highest ROI?
What do my customers do before they sign up?
Are customers coming back on a regular basis?
Making User Analytics Actionable
We all know a data driven world is inevitability
We track everything from our health to our homes to our children
We have more data about our customers than ever before
So what’s stopping us?
38% of companies are not able to communicate and interpret customer analytics results.
54% can’t integrate and manage all their data sources.
The four pillar approach is your roadmap to ROI
People Objective Strategy Technology
So what can you do?
Data Science Alert Rules and Playbooks Confirm Intuition
Blend with other data sources to discover insights
Score customer health using usage data
Have one view of all your customers
Fire off tasks or outreach based on usage
Take action on early warnings and manage each event
Consistently collaborate to keep customer relationships healthy
Who’s getting ROI from usage data?
Reduce Churn
THANK YOU
Dan McGaw, Director of Marketing KISSmetrics @danielmcgaw
Puja Ramani, Director of Product Management & Analytics Gainsight @pramani
Empowered consumers, fueled by new technologies and ever-increasing expectations, are demanding more and more dynamic and relevant experiences from the brands they support in the Connected Age.
In this opening keynote presentation from #JBoye15, Scott Liewehr identifies the trends in customer experience management as well as the 10 organizational competencies that all organizations must have in order to succeed at CEM.
When you partner with NextGen Healthcare, you benefit
from our Implementation and Training professionals. You get a database built to your specifications and installed while we handle end user training, go-live support, and post-live assessment and optimization. We do that so you
can continue to practice medicine.
With the boom of Big Data and the advances in new technologies, Predictive Analytics has become a staple in big business, providing priceless insights and driving revenue. But how can you implement it? Which tools should you use? Where should you invest? Take your first step towards data-driven succes by joining the Predictive Analytics Innovation Summit in Chicago, on November 29 & 30 - More info: http://bit.ly/2eWX0RF
I have used some videos for a better understanding of Gut and Big Data so please go through them.
https://www.youtube.com/watch?v=XjmldAL9RQs
https://www.youtube.com/watch?v=DBQYSwhIYXk&t=20s
Delve into connected systems, experience-driven product discovery, and conversational applications to see how they're revolutionizing the customer engagement and commerce landscape. Delivering personalized, omnichannel experiences that leverage context, content, and cross-channel customer insights used to challenge marketers, but not any longer. Learn more: https://www.hybris.com/commerce
Realeyes is a technology company that uses computer vision to read faces and measure human emotion. Realeyes emotions platform provides a world leading solution for collecting and analysing facial response data of millions of consumers while consuming video content. The company’s goal is to help clients to get better results from their communications by providing accurate and actionable engagement metrics that traditional methods can’t deliver on scale. Clients include leading publishers, advertising agencies, research firms and numerous Fortune 500 brands.
Intelligent Enterprise: How to Create the Customer Experience of the Future? ...Catalina Arango
Customer experience is more important than ever. Even as ML technologies are more commonly used, many organization remain bewildered about what the different technologies can do and how they could be integrated in their business processes in order to drive positive customer experience. A look at examples of enterprises who have improved customer experience by applying advanced analytics into business processes.
NPS®: Benefit From the Passion of Your PromotersSatrix Solutions
It’s easy to get caught up in responding to negative feedback.However, it is just as critical to not lose sight of your most loyal advocates by keeping them satisfied and primed for growth opportunities. Read more: http://www.satrixsolutions.com/are-you-fully-capitalizing-on-your-nps-promoters/
Unlocking the Value of Usage Data March 20, 2014
Dan McGaw, Director of Marketing KISSmetrics @danielmcgaw
Puja Ramani, Director of Product Management & Analytics Gainsight @pramani #customersuccess #KISSwebinar
1 The Case for User Analytics, 2 Making User Analytics Actionable, 3 Realizing ROI
We Have Entered The Age Of The Customer
Customer data is everywhere
Welcome to our world of Customer Analytics.
How it works (it’s simple and powerful)
Your customer is at the heart of KISSmetrics
How effective is my signup process?
“You can’t maximize your revenue and profit unless you are tracking the lifetime value of each of your customers. And that’s what KISSmetrics does better than anyone else.” !! — Thomas (Zappos).
Which of my marketing channels has the highest ROI?
What do my customers do before they sign up?
Are customers coming back on a regular basis?
Making User Analytics Actionable
We all know a data driven world is inevitability
We track everything from our health to our homes to our children
We have more data about our customers than ever before
So what’s stopping us?
38% of companies are not able to communicate and interpret customer analytics results.
54% can’t integrate and manage all their data sources.
The four pillar approach is your roadmap to ROI
People Objective Strategy Technology
So what can you do?
Data Science Alert Rules and Playbooks Confirm Intuition
Blend with other data sources to discover insights
Score customer health using usage data
Have one view of all your customers
Fire off tasks or outreach based on usage
Take action on early warnings and manage each event
Consistently collaborate to keep customer relationships healthy
Who’s getting ROI from usage data?
Reduce Churn
THANK YOU
Dan McGaw, Director of Marketing KISSmetrics @danielmcgaw
Puja Ramani, Director of Product Management & Analytics Gainsight @pramani
Data Science for Small Business: Make Your Business SmarterKavika Roy
https://www.datatobiz.com/blog/data-science-for-small-business/
SMEs or small and micro enterprises form an integral part of a country’s economy. In India alone, the sector is said to have employed around 111.4 million people in the year 2014, and in 2012 it contributed 37.5% to the GDP. But, the irony is that even after being such an important part of the economy, SMEs are not able to flourish as they should have. There is a major lack of strategic business planning and innovation that hinders their growth.
In order for the SMEs to remain competitive both nationally and globally, it is imperative that every SME owner investigates the lacuna and starts working on it. Developing economies such as ours often find it difficult to foster innovation in the SME sector, because there are other factors that need the government’s attention.
The major problems faced by SMEs include unskilled staff, irregular finances, poor infrastructure, old marketing strategies and lack of information.
An SME owner tries to tackle all the issues but neglects an important one. This factor is “information”. Even after having skilled people, a good flow of money and good infrastructure the business may cease to flourish as expected by the owner.
Data Science Process: Resolve Business Problems SmartlyKavika Roy
https://www.datatobiz.com/blog/data-science-process-solve-business-problem/
Whether you run an empire or a small enterprise, every business faces certain common problems and hitches. The questions like, How do I improve my sales? What is my organization lacking? What to do when old customers are not purchasing my product? What ought to be done with a specific end goal to pull in more clients?
And much more such, often boggle a business owner’s mind. If this is the case with you as well, then there is definitely a path that can offer you a cutting edge over the others and it doesn’t take much effort in guessing what it is. Yes, I am talking about “data science” something that is taking over the corporate world with its capability to make complex things simple.
To understand the applications in a better way, you may look at the working model of big tycoons like Amazon, Uber, Netflix, Starbucks, etc. They all utilize Big data analytics to refine their marketing, manage their finances, predict frauds, evaluate the viewing habits of millions of clients, etc.
This is how Uber is able to provide the easy-to-book cab service and Starbucks does not suffer losses even after having three shops at the same location. Isn’t it mesmerizing as to what all data science can do?
The next question coming to your mind would be how to incorporate the data science process into your particular business module? Or how is this prediction even possible?
Do not worry, all your queries will be answered. But before moving ahead we must understand the basic concept of data science and the fields it merges together.
A data scientist combines concepts of, statistics, analytics, data processing, machine learning, predictive analysis, basic mathematics and computer science, to bring out the desired outcome that can benefit your business.
Do you run a business or work with the management closely? Have you ever thought about why sales numbers are going down? Is your operational cost going up? Why is it becoming harder day by day to retain clients? Why are customers flocking for competitors’ products? – In case you’ve ever been bothered with any of these types of questions, then you do understand the importance of data.
With the technology revolution, the operational aspect of businesses has changed drastically. Data is the new gold. He who knows how to churn out the insights and intel will beat all the competition. Data Science is the methodology for retrieving valuable information from the stockpile of data.
Behavioral-Based Safety – Predictive Analytics and a Safe Workplace McKenney's Inc
Companies large and small are using predictive analytics to decrease workplace incidents – by focusing on behavioral trends. Learn more at http://blog.mckenneys.com/2017/02/behavioral-based-safety-predictive-analytics-and-a-safe-workplace/
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
data drives the future of your businessAleš Fojtík
At datasapiens we help companies in turning the data into profit. We support our clients on the entire journey towards a data-driven organisation and support them with internal and external data monetization.
Few companies realize the full benefits of analytics initiatives to improve the customer experience. Here's a six-step guide for moving beyond operational reporting to enabling predictive insights.
Productionising Machine Learning to automate the enterprise. Conference research question: How can you pin-point which core business processes to transform with increased automation and streamline daily workflows to boost in house efficiencies?
2. Predictive Analytics gives your
organisation the potential to
significantly differentiate itself from
your competitors. It can support in
delivering growth, reducing costs or
significantly increase your knowledge
of your customer base. This is all
without significantly impacting the core
business processes.
Predictive Analytics is the analysis of
past events to enable the prediction of
future events. It allows you to predict,
with certainty how events will impact
your business or how customers are
set to behave.
Predictive Analytics has a variety
of applications which can make a
significant benefit to you organisation.
The output of the analysis is easy
to understand and can be actioned
quickly by business users. We can also
integrate outputs or results into your
underlying systems so that benefits
can be quickly realised.
PredictiveAnalyticscanbe
usedtosolveanarrayof
businessproblems...
“Which
customers will
repeat purchase
from me?”
“Which customers
will leave and
when?”
“Which
customers
will be more
likely to buy a
wide range of
products?”
“Which of my
stores will
succeed?”
“Which customer
segments
will be most
valuable?”
“Which
products
should I stock?”
“Which
employees are at
risk of leaving my
organisation?”
“Who my top
performing
staff will be?”
“How can we plan
for changes in
both internal or
external factors
e.g. Interest Rate
Movements”
3. We have a proven Predictive Analytics
process that ensures that Predictive
Analytics can support your business,
easily extracts data from your data
marts to underpin the predictive
models and can integrate seamlessly
with your current technology
architecture thereby minimising
disruption and returning results
quickly and effectively. Whatever your
business problem, KPMG can use
analytics to ensure a better outcome.
Respond Better
Predictive analytics is the
proverbial management Crystal
Ball. It allows managers to see
a number of probable future
outcomes and respond to those.
Better Informed Decisions
It enables better decisions.
Management decision making
is characterised by experience
and intuition. Predictive analytics
supplements those with an
objective, consistent scientific
view.
Decisions Made on Data
It links the internal business
with the external environment.
Our approach uses a number of
external data sources to enrich
the insight that we provide.
Collect
data
Define the
business
problem
Build proof
of value
Assess
deployment
options
Implement
analytics
Review and
Refine
HowcanKPMGhelp?
What is the value of predictive analytics
What is the value of predictive analytics
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