Data Analytics with Managerial Applications InternshipJahanvi Khedwal
Data Analytics with Managerial Applications Internship under Prof. Sameer Mathur-Making Advanced Analytics Work for You by Dominic Barton and David Court-presentation
Data Analytics with Managerial Applications InternshipJahanvi Khedwal
Data Analytics with Managerial Applications Internship under Prof. Sameer Mathur-Making Advanced Analytics Work for You by Dominic Barton and David Court-presentation
Data Science Analytics And Information Part 7DataMites
Data analytics is more specific and concentrated than data science. Data analytics focuses more on viewing the historical data in context while data science focuses more on machine learning and predictive modeling.
VISIT: https://datamites.com/data-science-course-training-hyderabad/
This power point presentation tell us about the transform the way companies do business. What are the problem faced by the company. What is advanced analytics, and why its used.
These are my insights on the article "Making Advanced Analytics Work for You" by Dominic Barton and David Court. This is an assignment, part of data analytics internship
Data Science Analytics And Information Part 7DataMites
Data analytics is more specific and concentrated than data science. Data analytics focuses more on viewing the historical data in context while data science focuses more on machine learning and predictive modeling.
VISIT: https://datamites.com/data-science-course-training-hyderabad/
This power point presentation tell us about the transform the way companies do business. What are the problem faced by the company. What is advanced analytics, and why its used.
These are my insights on the article "Making Advanced Analytics Work for You" by Dominic Barton and David Court. This is an assignment, part of data analytics internship
Making Advanced Analytics Work for You by Dominic Barton and David CourtKASHISH MUKHEJA
This is a presentation on the article Making Advanced Analytics Work for You by Dominic Barton and David Court.I have made the presentation as a task on my data analytics internship by Prof. Sameer Mathur.
Big data and analytics have rocketed to the top of the corporate agenda. Executives look with admiration at how Google, Amazon, and others have eclipsed competitors with powerful new business models that derive from an ability to exploit data.
This whitepaper from IBM shows how your organisation can implement a Big Data Analytics solution effectively and leverage insights that can transform your business.
While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate.
Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees.
Discovering real business opportunities and achieving desired outcomes can be elusive.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
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We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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.
2. OVERVIEW
Big data and analytics have rocketed to
the top of the corporate agenda.
Companies like have been able to
exploit the data.
But most of the companies are unsure on
how to proceed.
They simply believe that their
organizations are not ready.
3.
4.
5. INSIGHTS
Three mutually supportive capabilities are
required to fully exploit data:
Companies must be able to identify,
combine, and manage multiple sources of
data.
They need the capability to build advanced
analytics models for predicting and optimizing
outcomes.
Management must possess the muscle to
transform the organization so that the data
and models actually yield better decisions.
6.
7.
8. Choose the Right Data
Volume of information, particularly from
new sources such as social media and
machine sensors, is growing rapidly.
So mastering the technique to identify
usable data already available, and
exploring surprising sources of
information is important.
9.
10. Build Models That Predict and Optimize Business
Outcomes
Identifying the business opportunity and
determining how the model can improve
performance is an important.
Advanced statistical methods can help
make better models, but sometimes
statistics experts design models that are
too complex to be practical.
Thus Companies should repeatedly ask,
“What’s the least complex model that
would improve our performance?”
11.
12. Transform Your Company’s Capabilities
Companies are not able to exploit the big
data due to their limited capabilities.
Thus, using big data requires thoughtful
organizational change.
It is important to develop business-
relevant analytics that can be put to use.
Also, Managers need transparent methods
for using the new models and algorithms
on a daily basis.
Most organizations will need to upgrade
their analytical skills and literacy.
14. As the decision makers of the organization, it
is important for the managers to choose the
data wisely from the plethora of data
available and make optimal use of it.
They should also seek new and interesting
sources of data.
Also, the model chosen must be able to
optimise business outcomes.
Managers need transparent methods for using
the new models and algorithms on a daily
basis.