Various systematic patterns exist for creating new business value using data and analytics, beyond traditional "hits and misses". These include:
Pattern 1) Using big data to improve operations and explore new areas, like Rolls-Royce's engine health monitoring.
Pattern 2) Making assets mobile, measurable and flexible through digitization, like iTunes.
Pattern 3) Gaining broader access to data for new ventures through data combination across industries, like IBM's Bolzano smart city project.
Managers can apply these patterns by assessing their position, ambitions, and potential using available and creatable data from partners to innovate new business ideas and models in a systematic way beyond conventional approaches.
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.
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.
The search for new business ideas and new business models is hit-or-miss in most corporations, despite the extraordinary pressure on executives to grow their businesses. Management scholars have considered various reasons for this failure.
...
Professional Advantage recently ran this special event featuring Rebecca Payne, Business Controller at Scania Australia (transport/asset maintenance/supply chain), presenting on how they reduced their budget-to-report cycle from 19 days to 90 minutes. Find out more here http://www.pa.com.au/customer-stories/scania-australia/
Integrating A.I. and Machine Learning with your Demand ForecastSteve Sager
There is a paradigm shift in the way companies forecast demand. Learn how you can leverage advanced machine learning to understand how business drivers outside your walls will impact enterprise data.
Sales operations: finding ways to work smarterAnaplan
Annual sales planning season is just around the corner, and for sales operations teams that means long days and lonely nights iterating on the sales plan. In a recent sales planning survey, SiriusDecisions identified key areas where high-performing sales operations team are beating their competition to drive sales growth.
In this webinar with SiriusDecisions’ Research Director Dana Therrien learn practical approaches to organizing sales operations functions—as well as how to provide more bandwidth so you can optimize your sales planning process—and get your sales reps focused, faster.
Technology Strategy for the Digital Age is an executive briefing that outlines the changing business and IT landscape and provides a framework for how IT Strategy must also change to match these realities. The Technology Strategies for the Digital Age includes a playbook and a template on how to craft a compelling IT Strategy and Plan based on the principles and practices outlined in the deliverable. Visit: https://www.stratrix.com/store/technology-strategy-for-the-digital-age/
Small and Medium businesses can rely on a document scanning company to convert their data into digital format before implementing any advanced technologies.
The search for new business ideas and new business models is hit-or-miss in most corporations, despite the extraordinary pressure on executives to grow their businesses. Management scholars have considered various reasons for this failure.
...
Professional Advantage recently ran this special event featuring Rebecca Payne, Business Controller at Scania Australia (transport/asset maintenance/supply chain), presenting on how they reduced their budget-to-report cycle from 19 days to 90 minutes. Find out more here http://www.pa.com.au/customer-stories/scania-australia/
Integrating A.I. and Machine Learning with your Demand ForecastSteve Sager
There is a paradigm shift in the way companies forecast demand. Learn how you can leverage advanced machine learning to understand how business drivers outside your walls will impact enterprise data.
Sales operations: finding ways to work smarterAnaplan
Annual sales planning season is just around the corner, and for sales operations teams that means long days and lonely nights iterating on the sales plan. In a recent sales planning survey, SiriusDecisions identified key areas where high-performing sales operations team are beating their competition to drive sales growth.
In this webinar with SiriusDecisions’ Research Director Dana Therrien learn practical approaches to organizing sales operations functions—as well as how to provide more bandwidth so you can optimize your sales planning process—and get your sales reps focused, faster.
Technology Strategy for the Digital Age is an executive briefing that outlines the changing business and IT landscape and provides a framework for how IT Strategy must also change to match these realities. The Technology Strategies for the Digital Age includes a playbook and a template on how to craft a compelling IT Strategy and Plan based on the principles and practices outlined in the deliverable. Visit: https://www.stratrix.com/store/technology-strategy-for-the-digital-age/
Small and Medium businesses can rely on a document scanning company to convert their data into digital format before implementing any advanced technologies.
Data Strategy - Executive MBA Class, IE Business SchoolGam Dias
For today's enterprise Data is now very much a corporate asset, vital to delivering products and services efficiently and cost effectively. There are few organizations that can survive without harnessing data in some way.
Viewed as a strategic asset, data can be a source of new internal efficiencies, improved competitive advantage or a source of entirely new products that can be targeted at your existing or new customers.
This slide deck contains the highlights of a one day course on Data Strategy taught as part of the Executive MBA Program at IE Business School in Madrid.
Chapter 2Valuing InnovationsExplain why and how companies ar.docxchristinemaritza
Chapter 2
Valuing Innovations
Explain why and how companies are continually looking for innovative ways to use information systems for competitive advantage.
Business Models in the Digital World
Describe how information systems support business models used by companies operating in the digital world.
Enabling Organizational Strategy Through Information Systems
Discuss how information systems can be used for automation, organizational learning, and strategic advantage.
1
Introduction
In this chapter, we examine the strategic use of information systems, which enables organizations to gain or sustain competitive advantage.
This examination includes a look at the role of information systems in each of the levels of an organization, their role in international business strategies, and the on-going need to innovate using information systems.
1-2
Each age has enabled the age that followed.
The Agricultural age provided the time and resources necessary for people to stay in one location and invent machines.
Table of Contents
Organizational Decision-Making Levels
Operational Level
Managerial Level
Executive Level
Organizational Functional Areas
Competitive Advantage
ISs Providing Business Value
Pursuit of Competitive Advantage (organizational strategy types & sources of competitive advantage)
Competitive Forces
Value Chain Analysis
Choosing the Right IT & ISs
1-3
Organizational
Decision-Making Levels
Executive/Strategic Level
Upper Management
Managerial/Tactical Level
Middle Management
Operational Level
Operational Employees, Foremen, Supervisors
The Organizational Decision-Making Levels slides simply follow the chapter. They are included because they provide foundational knowledge for slides that follow.
Most businesses have three levels of management, with one or more layers of managers in each level.
The executive management includes top tier management focused on long-term strategic business decisions such as how to compete, price versus quality, and what countries to do business in.
Middle or tactical management is focused on running the organization to meet the strategic goals, and typically has a management timeframe of 3 to 12 months. Typical decisions might include where additional stores in existing markets should be opened.
Operational employees and management perform the day-to-day work of the organization, making decisions on a day-by-day basis.
A shift manager at a Wal-Mart would be Operational Management, while a Store manager at a Wal-Mart would be at the lowest level of Middle or Tactical Management.
4
Operational Level
Day-to-day business processes
Interactions with customers
Decisions:
structured,
recurring, and
Often automated using IS.
IS used to:
optimize processes, and
understand causes of performance problems.
1-5
Operational information systems primarily focus on process automation. This can include automating routine activities as well as automating and optimizing structured decisions (su ...
Big & Fast Data: The Democratization of InformationCapgemini
Moving from the Enterprise Data Warehouse to the Business Data Lake
Is it possible that ubiquitous analytics represents the next phase of the information age? New business models are emerging, enabled by big data that business leaders are eager to adopt in order to gain advantage and mitigate disruption from start-ups and parallel industries. The winners are likely to be those that master a cultural shift as well as a technology evolution.
Our view is this will be realized through the alignment of a business-centric big data strategy, combined with democratization of the analytical tools, platforms and data lakes that will enable business stakeholders to create, industrialize and integrate insights into their business processes.
Innovative approaches are needed to free up data from silos whilst encouraging both the sharing and the continuous improvement of insights across the business. While it will be evolution for some, revolution for others; the risk of status quo is not just the loss of opportunity but also a widening gap between business and the internal technology functions.
https://www.capgemini.com/thought-leadership/big-fast-data-the-democratization-of-information
Report on strategic rules of Information System for changing the bases of com...Md. Khukan Miah
Achieving advantages requires broad IS management and user dialogue plus imagination. The process is complicated by the fact that many IS products are strategic though the potential benefits are very subjective and not easily verified. Often a strict ROI focus by senior management may turn attention toward narrow, well-defined targets as opposed to broader strategic opportunities that are harder to analyze.
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).
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
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.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. Q: Is there any other way of arriving at new
business ideas other than hits and misses?
3. Q: Is there any other way of arriving at new
business ideas other than hits and misses?
A: YES, it is possible to tackle business
innovations systematically
5. Various patterns of creating new biz
values using data and analytic tools
Pattern #1:
Using Big Data to improve
business operations and venture
into new areas - “power-by-the-
hour” offering
Augmenting Products to Generate
Data
Rolls-Royce’s engine health
management (EHM)
capability
6. Various patterns of creating new biz
values using data and analytic tools
Pattern #2:
Making assets mobile,
moniterable and malleable.
Gains such as reduced
distribution cost, efficiency in
handling inventory and greater
choice to customers
Digitizing Assets
iTunes
7. Various patterns of creating new biz
values using data and analytic tools
Pattern #3:
Greater access to data,
opportuning new ventures of
business efficiencies and cost
reduction
Combining Data Within and Across
Industries
IBM’s project in Bolzano
smart city
8. Various patterns of creating new biz
values using data and analytic tools
Pattern #4:
Opportunities for collaboration,
finding improved insights and
expanding scope of business
Trading Data
Partnership between
Vodafone and TomTom
9. Various patterns of creating new biz
values using data and analytic tools
Pattern #5:
Any process that is best-in-
class—but not central to a
company’s competitive
advantage—can thus be turned
into a profitable business
Codifying a Distinctive Service
Capability
CitiDirect BE
11. Systematic approach to Business
innovations
Assess your
present
position
Articulate
your ambition
Appraise your
potential
Analyse the
potential for
trading or
collaborating
What data do
you have?
What data
should you be
capturing?
What data
could you
create?
What data from
others could
help you and
how?
12. Managerial Relevance: Why?
• Innovating on business ideas is imperative to have admirable growth
• These insights present a systematic approach to business innovations
using data and analytics tool
• These insights and examples therein demonstrate how IT can enable not
only better products and services but also innovative business models
and platforms
• Using these approach, managers can expect to have sufficient degree of
flexibility in their strategies
• Managers can be duly primed about the metrics and processes needed to
support new business models
13. Managerial Relevance: How?
• By thinking through what implications the five patterns hold for their
businesses, companies can find ways to engage more fully with the
digital economy—and cash in on its promise.
• Managers need identify a pattern or a combination of pattern that best
suits her business context and organization’s capability
• Companies can take the approach as a benchmark to evaluate their
existing strategy’s cost and benefit
14. In conclusion
• With ever-advancing IT technologies, companies will be better advised
to adapt to practices that cultivate more gains for them
• The insights brought out in this paper can be helpful to the companies in
their pursuit of improvement
