DATA DRIVEN DECISION MAKING

•Download as PPTX, PDF•

0 likes•68 views

This document discusses the importance of data-driven decision making. It contains quotes from experts emphasizing how data is a valuable asset and currency for companies. The document outlines the steps companies should take to become more data-driven, including understanding business goals, exploring available data and analytic capabilities, assessing skills, and selecting tools that align with goals and skills. It also provides an example of Handelsbanken, a Swedish bank that could benefit from these practices. The document discusses challenges like data silos and the need for communication and centralized strategies, and stresses the importance of learning from failures through a test-and-learn culture.

Data & Analytics

11
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
Sharala Axryd,
Founder and CEO
The Center of Applied
Data Science
Simon Samuel,
Principal Data Scientist
DATA DRIVEN
DECISION
MAKING

22
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
“Data is a precious
thing and will last
longer than the
systems themselves.”
-Tim Berners-Lee,
father of theWorldwide
Web
“Torture the data, and
it will confess to
anything.”
– Ronald Coase, winner
of the Nobel Prize in
Economics
“Data is the real currency
of your company.”
– Satya Nadella, CEO of
Microsoft
“Most of the world will
make decisions by
either guessing or using
their gut.They will be
either lucky or wrong.”
- Suhail Doshi, CEO of
Mixpanel

33
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted

44
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
We need to understand the business
goals
‒ What are your strategic KPIs
‒ What are the challenges you are
facing as a business
‒ How can data and analytics support
delivering these objectives
We explore the data and
analytic capability we have to
deliver these insights
‒ Do we have the data
‒ Can we get the data
‒ How sophisticated do we
need to be with the analytics
We consider do we have the people
to deliver this capability
‒ Can we train our people
‒ How do we augment capability with
external resource
‒ Are we leveraging skills across the
organization
Finally, we look at the tools
‒ Do these align with our
business goals
‒ Are they complimentary
with the skills and talent we
have
What does it mean
to be data-driven?

55
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
Handelsbanken is one of the major publicly traded Swedish
banks that provides personal and corporate banking,
financing, mortgage loans, investment banking, and private
banking. The bank is headquartered in Stockholm.

66
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
Photo can be changed to reflect the content
working
in
Data
Scientists
silos
Technical Skills
Strategy communicated between
C-Suite and Line Managers
Everyone needs to
understand the journey
Centralize

77
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted

88
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
An average company loses 15-25%
of its revenue due to bad data
If a business is not data driven, it will
not exist within five years

99
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
“The illiterate of the 21st century will not be those who cannot read and write, but
those who cannot learn, unlearn, and relearn.”
— AlvinToffler, American Writer, Futurist, Businessman

1010
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
Failures:
They are the face to
customers – need to
bring with you
Not engaging front
line colleaguesNot asking the
right questions
Analytics does not
give us outcome
expected for
customer
NoTest and
Learn Culture
Failure to learn why things
don’t work… ’we’ve done
that before… didn’t work’
We’ve got data but we
can’t get value from it
Data Swamp,
Operational Data

11
Success:
Find an advocate in front line -
if a good colleague adopting tech others will follow
Personalization – you have to be relevant
Customer/colleague engagement -
people like me app/ smart meter app to drive usage
Collaborative cross team with same goal
Develop a holistic business case - Measure actual benefits but
realistic, not all are standalone ROI enhanced but collectively w
Value exchange critical for data capture –
the answers in the data
Bring analytics close to business decision makers –
develop tools for business to understand

1212
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted

1313
Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted
ThankYou

The Center of Applied Data Science (CADS) was established in 2014 in Malaysia and expanded to Singapore in 2018. CADS aims to establish a global standard in data science and analytics education. It has produced over 1,000 data professionals and advised both government and corporate clients through its BOLT methodology of building capabilities, operating solutions, learning skills, and transferring knowledge. Data science and analytics roles such as data scientists, data analysts, and data engineers are in high demand with increasing salaries and opportunities for career advancement.

Jumpstart a Lucrative Career in Data Science

Sharala Axryd

The Center of Applied Data Science (CADS) aims to make the world more sustainable through technology, data insights, and intelligence. CADS educates clients on data management, integration, and analysis to empower them and promote independence. As the first comprehensive data science training institution in ASEAN, CADS integrates learning, networking, and professional growth to train effective data scientists and cultivate the next generation of data professionals. There is high demand for data scientists as 90% of data in the last 2 years remains unused, with the potential value from data exceeding $300 billion annually. However, many countries in ASEAN still face gender gaps that CADS hopes to help address through education and training.

AI and Augmented Intelligence in Financial Services

RudolfFalat

Technology Directors on Corporate Boards October 2013

Vell Executive Search

In the Spotlight: Is Human Capital the Data Center industries most Valuable R...

DCDynamics

The Global Data Center Industry makes a hugely important contribution to the global economy. Given that millions of dollars can potentially be lost through a single data center downtime event, the tendency is to focus on the obvious – footprint, power, cooling, connectivity, accessibility and so on. There is however, a key attribute that is often-perhaps surprisingly overlooked - The Skill sets of the staff within your data center. The depth of expertise and professionalism of the people who work within a data center can have a dramatic effect on what is a crucial piece of every company’s infrastructure. And therein lays a problem. The data center industry like other aspects of IT, suffers a skills shortage. Scratch below the surface and the issue becomes increasingly complex, the lack of IT talent is a global problem exercising business, academia and government alike.

Modus Operandi

Inside Analysis

This document discusses the need for thought leadership and innovative thinking over a sole focus on technology and data. It argues that meta-ideas, rather than just metadata, are driving innovations today. Interdisciplinary thought across industries and non-traditional hires are needed to develop new perspectives and break from traditional views. As data grows exponentially, new approaches are required that combine different data techniques rather than relying on single technologies. Advanced data modeling is needed to capture human concepts and link data to real-world contexts and objectives.

Snapshot UK CIO 2018

David Germain

The document summarizes key insights and takeaways from the UK CIO Executive Summit. It thanks attendees for participating and highlights some of the main discussions from keynote speeches and breakout sessions. These included the need for CIOs to take a more strategic role and focus on business outcomes, embracing change and new technologies like blockchain, and cultivating diverse workforces. Information about participating companies and executives is also provided. The document promotes connecting again at future events to continue the discussion.

Lessons Learned

TargetX

This document outlines lessons learned from 15 years of experience in higher education technology management and marketing. It discusses bringing business practices to higher education technology management, including treating it like a business with consumers, sales and marketing, costs and returns on investment. It suggests training staff differently, providing different tools, setting different goals, and prioritizing differently. It also emphasizes the importance of clear communication, accountability, empowering staff, and outsourcing non-core functions. Finally, it encourages rethinking traditional structures and embracing change.

This document summarizes the challenges faced by in-house counsel working in companies undergoing rapid growth. It discusses when companies typically hire their first in-house lawyer, noting that it is usually after the initial establishment phase when legal issues become more complex and outsourcing costs increase. It also explores what attributes and experience are important for in-house lawyers in fast-growing companies, highlighting the need for flexibility, accessibility, and the ability to quickly handle a wide range of legal issues. Interviews with various in-house counsel provide insights into successfully navigating the unique demands of working in a rapidly changing environment.

Analysis of "Data Scientist: the sexiest job of the 21st century" by Thomas H...

Vyshnavi Veluri

Data scientists are high-ranking professionals who identify and analyze large datasets to find insights and suggest new business directions. They have skills in math, statistics, computer science, and business issues. While the demand for data scientists is high, the supply of qualified candidates is low. Organizations need people who can manage and analyze data to make discoveries. To attract data scientists, managers should paint an exciting picture of the challenges and potential for breakthroughs, and give data scientists freedom to experiment and explore possibilities. Data scientists want to build things, not just give advice, and want to make an impact as pioneers in their field.

500 IT leaders weigh on on the state of DRaaS

ClearSky Data

This document summarizes the results of a survey of over 500 IT leaders on their data protection and disaster recovery strategies and challenges. Key findings include: - Many companies still rely on a hybrid cloud approach for data storage but have no plans to move to cloud-only. - Over half of respondents maintain physical secondary data centers for disaster recovery. - Data growth is expected to increase significantly in the coming year, driven by retention policies. - Few companies test disaster recovery regularly, with most testing only once per year or less.

Converting Data into Dollars

Stephen Nold

This document summarizes a panel discussion on converting data into dollars in the exhibition industry. The panel discussed issues around data management, validation, and integration across different databases and input points. They questioned who owns the data and how information should be managed and exchanged. Establishing industry-wide data standards was proposed as a solution to help address these problems. The Data Standard Initiative was launched in 2009 to help create data standards for the industry. Panelists also discussed how event leadership can improve data governance, policies, communication, and applications to help cleanse data issues. The key points focused on current data challenges and how adopting common standards could help solve problems to generate more value from industry data.

ACEDS-Zylab 4-3-15 Webcast

Logikcull.com

This document summarizes a presentation on bridging the gap between legal and IT through information governance. The presentation discusses how data conceals both risk and value for organizations, noting regulatory, compliance, security, and disclosure risks as well as faster decision making, improved profitability, and other benefits. It outlines common problems general counsels face around demonstrating value, limited budgets, and being too busy firefighting daily tasks. The presentation then discusses how poor information governance can lead to litigation risks, problems with regulatory requests and investigations, and issues with internal policies. It stresses that information governance is a cross-disciplinary issue involving multiple departments. The presentation provides requirements for successful information governance programs and stresses focusing on specific quantifiable benefits to obtain support and resources

Tata steel ideation

Anakshi Dhama

The document discusses a need for Tata Steel to create a digital platform to improve knowledge sharing and management across its global operations. It proposes developing an internally-managed online tool that would allow management to share ideas, information, research and knowledge. Such a platform could enhance e-learning, sharing of expertise, and keeping employees informed about company developments worldwide. Benefits would include ensuring the right information reaches the right people, improving efficiency, decision-making, innovation and intellectual property retention. Similar solutions have been implemented by companies like Pratt and Whitney, NASA, Steris and AT&T.

Building an Equitable Tech Future - By ThoughtWorks Brisbane

Thoughtworks

At the heart of ThoughtWorks is an ambitious mission: to be a proactive agent of progressive change in the world. Aware of our own privilege, we strive to see the world from the perspective of the oppressed, the powerless and the invisible. With QUT, here in Brisbane, we’re kicking off a series of research, projects, and conversations about the social impact of tech trends, with a view to building a more equitable tech future. Some of these topics include: - Algorithmic accountability, transparency, bias & inclusion - Responsible data practices (privacy and ownership of data) - Automation and the future of work - Data use in social media and elections - Fake news and echo chambers - Regulating decentralised technologies - Blockchain for good - End-user autonomy and privacy Slides from: Felicity Ruby, Eru Penkman, Clayton Nyakana, Assoc. Prof. Nic Suzor (QUT) & Dr. Monique Mann (QUT)

Open Innovation meets Big Data (and CfBI introduction)

Centre for Business Innovation

The document summarizes information about the Centre for Business Innovation (CfBI) and its Open Innovation meets Big Data Consortium. The CfBI manages blue-chip consortia around emerging technology and business areas through annual membership subscriptions. The Open Innovation meets Big Data Consortium focuses on commercial opportunities around trading data between partners. Current members include companies in packaging, communications, media, financial transactions, and universities. Upcoming activities will examine implications of data policy and opportunities in smart supply chains and adding value to location data. Corporate participation in the consortium costs £10k per year.

What will be the relevance and benefit of a NSDI in 2027?

PSMA Australia

By 2027, the NSDI will not focus on building better infrastructure but instead collaborating to deliver an ecosystem of interconnected cross-disciplinary data and services that enables value creation for consumers. This ecosystem will seamlessly integrate data across domains in real-time through collaborative platforms. National mapping agencies will need to shift their focus from data collection to facilitating this ecosystem through policies and standards that allow for cross-domain integration and value creation.

MC1603-P_A4_3pp - Mix Consulting ResilientNTWeb Case Study

NickyCurtis

The document discusses a case study of Mix Consulting working with 10 small and medium businesses in Hampshire, England through the ResilieNtWeb project. Mix Consulting used the Business Model Canvas strategic tool to help the businesses identify opportunities for growth and diversification. They worked with a variety of sectors including electrical contractors, lighting wholesalers, agronomists, and more. As an example, the Business Model Canvas for an electrical services company is shown, mapping out its key partners, activities, resources, costs, values, customer relationships and revenue streams to identify areas for potential development.

Intellectual capital and innovation in agricultural insurance sector

University Technology Malaysia (UTM)

This document discusses the importance of intellectual capital and innovation in the agricultural insurance sector. It begins by outlining the importance of insurance services for agricultural producers and sectors. Intellectual capital is defined as the knowledge, skills, and experiences of employees, while innovation refers to new processes, services, marketing methods, and organizational changes. The relationship between intellectual capital and innovation is then explored, finding they have a reciprocal relationship that can boost company performance. Specifically within insurance companies, intellectual capital and innovation are crucial assets that allow companies to develop new services, gain competitive advantages, and better serve customer needs. Overall, the document argues that effectively managing intellectual capital and fostering innovation are important for the success and sustainability of agricultural insurance companies.

Technology and Innovation: The Librarian's Dilemma

Eric Schnell

Business unIntelligence - a Whistle Stop Tour

Barry Devlin

The old world of business intelligence is being transformed into a new biz-tech ecosystem. Analytics is forcing the recombination of operational and informational systems in a consistent and coherent IT environment for all business activities. Big data—despite the hype—introduces two very different types of information that transform how business processes interact with the external world. Together, these directions are driving a new BI, so different to its prior form that I call it “Business unIntelligence”. This session covers: - Business drivers and results of the biz-tech ecosystem - Modern conceptual and logical architectures for information, process and people - Positioning of all forms of business analytic and big data

Pension 100 k+ december 2014 (slide share)

Dirk Ligtenberg

This document summarizes the results of a survey of 60+ companies regarding pensions over 100K in the Netherlands. About 75% of survey responses came from compensation & benefits professionals and 25% from HR generalists. 50% of companies have over 50 employees with pensions over 100K, and most companies are taking a similar approach to transitioning these pensions to defined contribution plans or comparable alternatives. Key issues for companies to address include communication, decision making, administration, design, resources, and legislation. The survey aims to trigger discussion around best practices for managing pensions over 100K.

2017 ALA Intellectual Property Conference for Legal Professionals

Association of Legal Administrators

ALA’s Intellectual Property Conference for Legal Professionals is the only IP-focused forum for administrators working in a legal practice setting. Held over two days, the forum features: • Specialized solutions and education that address changes to the shifting IP landscape • Seasoned experts and industry leaders at the forefront of IP law • Opportunities to share ideas and explore trends in profitability, innovation, strategic and leadership • Unique networking opportunities with peers and business partners in this niche field • Continuing education credits

Institutional IP Policy

Marcel Mongeon

Why Big Data Analytics Needs Business Intelligence Too

Barry Devlin

Business and IT are facing the challenge of getting real and urgent value from ever-expanding information sources. Building independent silos of big data analytics is no longer enough. True progress comes only by integrating data from traditional operational and informational sources with the new sources that are becoming available, whether from social media or interconnected machines. In this April 2014 BrightTALK webinar, Dr. Barry Devlin describes the thinking, architecture, tools and methods needed to achieve a new joined-up, comprehensive data environment.

Business unIntelligence, Chapter 5

Barry Devlin

Profile and cv summary Thei Geurts

Thei Geurts

Thei Geurts is an experienced multidisciplinary manager and consultant with a passion for knowledge transfer and information technology innovation. Over his career, he has held roles such as librarian, library director, and information manager. He offers vast experience in areas like strategy, product innovation, knowledge management, and business development. Thei is known for his domain expertise, amiable nature, drive for quality, and ability to achieve outstanding results under pressure.

Information and knowledge management 14 may 2013 elisabeth goodman

Association for Project Management

The document discusses the differences and cross-over between information management and knowledge management. It provides definitions from the APM Body of Knowledge, which defines information management as the collection, storage, dissemination, archiving and destruction of information, while knowledge management is the systematic management of information and learning to create collective knowledge. The document suggests alternative definitions and notes knowledge involves context, experience and expertise. It argues information management ends and knowledge management begins when information is transformed into insights through the brain and conversations. The document also discusses the need for clear goals, processes, facilitation and enablers to effectively manage information and knowledge in projects.

Embracing Analytics for the Future

Sharala Axryd

The document discusses how analytics and data can help organizations improve performance and address common reasons why analytics projects fail. It provides examples of how a Swedish bank called Handelsbanken successfully uses an empowering culture and personalized service to remain highly profitable. The document advocates that organizations build cultures allowing sustainable performance, empower people, and communicate strategies clearly. It also discusses how tools like data visualization and storytelling can help internal auditors gain insights from big data and improve auditing.

Cracking the Code: Data Science Tackles Investment Management

Sharala Axryd

The document discusses how data science can be used to enhance investment management operations. It describes how machine learning algorithms can be used to power robo advisors that provide tailored investment recommendations to clients based on their risk tolerance, behavior, and preferences. Neural networks can also be used for fraud detection by analyzing customer behavior and transactions to identify suspicious activities. Predictive analytics uses historical data to build models to analyze current data, while scenario-based analytics considers alternative future outcomes. The document also discusses how data science can help reduce cognitive biases that investors tend to have.

What's hot

In-House-Latest-Issue 5-ALL PAGES

Angela Jacobsen nee Bilbow

Analysis of "Data Scientist: the sexiest job of the 21st century" by Thomas H...

Vyshnavi Veluri

500 IT leaders weigh on on the state of DRaaS

ClearSky Data

Converting Data into Dollars

Stephen Nold

ACEDS-Zylab 4-3-15 Webcast

Logikcull.com

Tata steel ideation

Anakshi Dhama

Building an Equitable Tech Future - By ThoughtWorks Brisbane

Thoughtworks

Open Innovation meets Big Data (and CfBI introduction)

Centre for Business Innovation

What will be the relevance and benefit of a NSDI in 2027?

PSMA Australia

MC1603-P_A4_3pp - Mix Consulting ResilientNTWeb Case Study

NickyCurtis

Intellectual capital and innovation in agricultural insurance sector

University Technology Malaysia (UTM)

Technology and Innovation: The Librarian's Dilemma

Eric Schnell

Business unIntelligence - a Whistle Stop Tour

Barry Devlin

Pension 100 k+ december 2014 (slide share)

Dirk Ligtenberg

2017 ALA Intellectual Property Conference for Legal Professionals

Association of Legal Administrators

Institutional IP Policy

Marcel Mongeon

Why Big Data Analytics Needs Business Intelligence Too

Barry Devlin

Business unIntelligence, Chapter 5

Barry Devlin

Profile and cv summary Thei Geurts

Thei Geurts

Information and knowledge management 14 may 2013 elisabeth goodman

Association for Project Management

What's hot (20)

In-House-Latest-Issue 5-ALL PAGES

Analysis of "Data Scientist: the sexiest job of the 21st century" by Thomas H...

500 IT leaders weigh on on the state of DRaaS

Converting Data into Dollars

ACEDS-Zylab 4-3-15 Webcast

Tata steel ideation

Building an Equitable Tech Future - By ThoughtWorks Brisbane

Open Innovation meets Big Data (and CfBI introduction)

What will be the relevance and benefit of a NSDI in 2027?

MC1603-P_A4_3pp - Mix Consulting ResilientNTWeb Case Study

Intellectual capital and innovation in agricultural insurance sector

Technology and Innovation: The Librarian's Dilemma

Business unIntelligence - a Whistle Stop Tour

Pension 100 k+ december 2014 (slide share)

2017 ALA Intellectual Property Conference for Legal Professionals

Institutional IP Policy

Why Big Data Analytics Needs Business Intelligence Too

Business unIntelligence, Chapter 5

Profile and cv summary Thei Geurts

Information and knowledge management 14 may 2013 elisabeth goodman

Similar to DATA DRIVEN DECISION MAKING

Embracing Analytics for the Future

Sharala Axryd

Cracking the Code: Data Science Tackles Investment Management

Sharala Axryd

Bridge the Human-Digital Divide

Sharala Axryd

Technology has transformed the way people work. Leaders can resolidify their teams by developing a robust Workforce Augmented Strategy to adjust their leadership behaviour, embrace digital workforce platforms and deepen their engagement with digitally enabled workers. Malaysian Insurance Institute (MII) together with The Center of Applied Data Science (CADS) Founder and CEO Sharala Axryd will run a webinar for leaders to create a center of excellence for data literacy that addresses business needs and talent potential identification. In doing so, leaders will be able to: - improve employee engagement and talent retention - improve data literacy and close competency gap - digitize operations and automate process

Data Done Right: Ensuring Information Integrity

Sharala Axryd

It’s the ultimate “garbage in, garbage out” quandary. Data can be an organization’s most valuable asset — but only to the degree its quality can be validated and trusted. Without the right guidelines, processes, and solutions in place to control the way applications, systems, databases, messages, and documents are managed, "dirty" data can permeate systems across the enterprise, negatively impacting everything from strategic planning to day-to-day decision making. High-quality data will ensure more efficiency in driving a company’s success because of the dependence on fact-based decisions, instead of habitual or human intuition. To gain a better understanding of this topic, this speaking session will examine: - what data quality and master data management is - why they are so crucial for successful business operations and strategies - how to improve data quality by organizational, procedural and technological means

Data Driven Leadership and Culture

Sharala Axryd

The document discusses data and internet usage in Malaysia. It notes that 87.4% of Malaysians, or 28 million people, use the internet with smartphones being the main access point. Most Malaysians use internet for messaging apps and 31 million have Facebook accounts. The document also discusses Sarawak state government's digital transformation training program which aims to train 500 people in the first year. It explores how understanding business goals, data capabilities, skills, and tools are important for becoming a data-driven organization.

Data Driven Digital Ecosystem

Sharala Axryd

The document discusses key aspects of transforming a learning institution into a data-driven university (DDU). It outlines that a DDU aims to utilize data analytics to make higher education smarter and optimize management processes. Some key success factors for a DDU include developing industry-ready talent with skills in analytics, digital, and business and achieving operational excellence through analytics to build competitive resilience. The document also provides parameters that define a digital ecosystem and discusses barriers to digital transformation in education.

SH_InfoSolution_Bro

Arooj A. Khan

Sidat Hyder is a management consulting and technology services firm that has been in operation since 1986. They provide services such as software development, business consulting, IT outsourcing, and human resources consulting to clients in both the public and private sectors. Sidat Hyder aims to help clients improve efficiency, reduce costs, and gain competitive advantages through customized technology solutions and expertise in business processes and industries.

Data Is The New Oil: How Shell Has Become A Data-Driven And AI-Enabled Business

Bernard Marr

How To Identify The Data Opportunities For Every Business?

Bernard Marr

Management Information Systems Business Driven MIS

KamilaFreitasGarcia1

The document provides an overview of chapter one of a management information systems textbook. It discusses key concepts such as how businesses can use information systems to move from independent departments to interdependent operations. It also covers Porter's five forces model for analyzing industry competition and introduces three generic business strategies: cost leadership, differentiation, and focus. The chapter establishes that managing data, information, and knowledge is crucial in today's digital business environment.

How to Monetize Your Data Assets and Gain a Competitive Advantage

CCG

Teaching organizations to fish in a data-rich future: Stories from data leaders

Amanda Sirianni

This document summarizes interviews with data leaders about challenges they face and best practices for delivering value from data. It discusses three key steps data leaders take: 1) collaborating for an enterprise-wide data strategy, 2) developing skills internally through training programs, and 3) increasing data sharing and integration. Examples are given of how data leaders in industries like insurance, manufacturing, and healthcare have used these steps to drive business benefits such as reducing fraud and accelerating clinical trials.

7 strategies of Best Managed companies

Deloitte Canada

The document outlines 7 strategies used by Best Managed companies to achieve success. The strategies are: 1) being laser focused on their strongest offering, 2) using social media to engage customers and employees, 3) investing in technology, processes, and people, 4) using data analytics to gain insights, 5) benchmarking against global competitors, 6) pursuing strategic mergers and acquisitions to grow, and 7) managing risks proactively before crises occur. Following these strategies has allowed Best Managed companies to significantly outperform average growth rates in revenue and profits.

The changing HR landscape

Rob Scott

Capgemini cloud expoeurope jan 25 2012 m skilton v1.4

Mark Skilton

The document discusses cloud computing and provides examples of cloud implementations. It begins with an overview of cloud computing trends globally and how cloud is evolving around the world. It then provides examples of four cloud implementations: 1) InnoEnergy, a pan-European energy innovation platform built on a cloud-based collaboration platform. 2) Information Pool, a Dutch emergency response data sharing system that enables agencies to exchange data on a single cloud platform. 3) A UK Department for Education implementation of a large Microsoft SharePoint platform to support information management and collaboration. 4) eProcurement Scotland, a multi-agency procurement solution used across the Scottish public sector that evolved into a private cloud platform.

How Do You Improve Data Skills and Data Literacy in your Business?

Bernard Marr

From Customer Insights to Action

Capgemini

CEO / CXO Architecture - The missing piece in your BI&A architecture

Corporater

Most CEOs and CXOs are not happy with the BI&A initiatives. There is an apparent gap between what insights/information the top management needs from IT, and what is delivered. In this presentation, you will get critical insights into what a BI&A architecture should contain in order to close this gap. This presentation will help you understand the specific core building blocks needed to reach business outcomes, and how the BI&A architecture can serve this purpose – all viewed from a CEO/CXO’s perspective.

Why Businesses Need Data To Make Better Decisions

Bernard Marr

02 simon logghe_ml6

FDMagazine

ML6 is a machine learning company with 50+ experts that provides machine learning solutions and equips 20% of Belgian companies with AI. It has offices in multiple countries and is a premier partner of Google Cloud. The document discusses trends in AI like large datasets and better models enabling machines to learn rules rather than being explicitly programmed. It provides examples of using machine learning and cognitive technologies in finance for tasks like financial planning, investor relations, accounts payable, risk management, and accounting.

Similar to DATA DRIVEN DECISION MAKING (20)

Embracing Analytics for the Future

Cracking the Code: Data Science Tackles Investment Management

Bridge the Human-Digital Divide

Data Done Right: Ensuring Information Integrity

Data Driven Leadership and Culture

Data Driven Digital Ecosystem

SH_InfoSolution_Bro

Data Is The New Oil: How Shell Has Become A Data-Driven And AI-Enabled Business

How To Identify The Data Opportunities For Every Business?

Management Information Systems Business Driven MIS

How to Monetize Your Data Assets and Gain a Competitive Advantage

Teaching organizations to fish in a data-rich future: Stories from data leaders

7 strategies of Best Managed companies

The changing HR landscape

Capgemini cloud expoeurope jan 25 2012 m skilton v1.4

How Do You Improve Data Skills and Data Literacy in your Business?

From Customer Insights to Action

CEO / CXO Architecture - The missing piece in your BI&A architecture

Why Businesses Need Data To Make Better Decisions

02 simon logghe_ml6

More from Sharala Axryd

The Sharala Axryd Story

Sharala Axryd

Big data refers to large and complex data sets that are difficult to process using traditional methods. The Center of Applied Data Science (CADS) was founded to address the need for data science talent in Malaysia by training the next generation of data professionals. CADS partners with leading organizations like the Data Incubator, Harvard Business School, and Coursera to provide rigorous data science education programs. The goal is to cultivate data talent and empower individuals and organizations to leverage big data for competitive advantage.

The Future of Work is Here: Are You Prepared?

Sharala Axryd

The document discusses how technology is changing the nature of work and the future workforce. Automation and AI will significantly impact jobs over the coming decades, with some jobs being replaced while new jobs are created. To stay relevant, professionals need to continually learn new skills. The future workforce will require skills in problem solving, critical thinking, and emotional intelligence rather than just technical skills. While AI will replace some jobs, it will also create new types of jobs. Malaysia needs to take advantage of new technologies like AI, IoT, and big data to increase productivity and improve livelihoods. However, it has not fully reached Industry Revolution 3.0 yet. Women and underrepresented groups also remain an untapped resource, and empowering them

Be a Gamechanger, be a Data Scientist

Sharala Axryd

1) The document discusses how 5 out of 10 future jobs have yet to be created due to technological innovation and the need for professionals to be agile and adopt new solutions. 2) By 2050, industries like banking and manufacturing will integrate automation and robotics according to economists, showing how digital disruption has already occurred. 3) Jobs that did not exist 10 years ago like data scientists, online community managers, and drone operators are highlighted to demonstrate how new roles are emerging while traditional jobs in areas like healthcare, education and law are threatened by advances in big data and machine learning.

The Future Agenda: Digitising Democracy and the Fake News Saga

Sharala Axryd

The document discusses digitizing democracy and fake news. It provides an overview of The Center of Applied Data Science (CADS), which aims to empower clients through data education. It then discusses definitions of fake news and Malaysia's Anti-Fake News Act of 2018. Several countries around the world have also implemented or discussed laws against fake news. To combat misinformation, the root causes of its proliferation must be addressed. Connecting with alternative sources of information online can spread misinformation, so mainstream media should not be suppressed.

Digital Business Today: Where is it heading?

Sharala Axryd

This document discusses trends in digital business and data science, including the future of technologies like edge computing, artificial intelligence, and the Internet of Things. It outlines eight categories of data scientists and notes that data visualization and chief data officer will be important roles. The new chief data officer will need skills in vision, managing multidisciplinary teams, multiple communication forms, computational thinking, and innovation. The Center of Applied Data Science provides certification in these areas.

Activate a Career in Data Science

Sharala Axryd

This document discusses careers in data science and provides information about data science roles. It summarizes that data scientists apply expertise to make predictions and answer business questions, data engineers build and optimize systems for data analysis, and data analysts deliver value by analyzing data and communicating results. It also discusses how big data can be used to cure disease, prevent crime, and explore planets, and emphasizes that digital disruption has already occurred.

Those Who Rule The Data, Rule The World

Sharala Axryd

Though 85% of global companies are trying to be data-driven, only 37% of that number say they’ve been successful. In this Information Generation, leaders are being pressed to rewrite the rules for how they organize, develop, manage, and engage their 21st-century businesses. More precious than oil or gold, data can prove to be the crucial x-factor between gaining a competitive edge and facing extinction.

Success at Work through the Power of Analytical Thinking

Sharala Axryd

The document is a presentation about success at work through analytical thinking presented by Sharala Axryd of The Center of Applied Data Science (CADS). CADS aims to make the world more sustainable through technology, insights, and intelligence. They educate clients on data management, integration, and analysis to empower clients and enable their independence from CADS services. The presentation discusses crucial 21st century skills like analytical thinking, creativity, and communication skills. It also notes that training for soft skills is the top priority for talent development and discusses how digital technologies can transform industries like oil and gas.

Rethinking Employment in an Automated Economy

Sharala Axryd

The document discusses how technology is automating many jobs and changing the nature of work. It suggests that while automation may eliminate some occupations, it will change most jobs by automating certain tasks. Companies need to rethink which job roles and skills are best suited for humans versus machines. To prepare for these changes, workers will need to learn new skills through retraining. The role of HR is also evolving to help companies with digital transformation, talent acquisition, performance management, diversity and strategic planning. Mastering skills like adaptability, learning new technologies, and communicating value will help individuals succeed in the changing job market.

Empowerment of Women through STEM Education in Malaysia

Sharala Axryd

This document discusses empowering women through STEM education in Malaysia. It notes that STEM achievement gaps emerge as early as kindergarten for girls due to lack of role models, peer influence, and gender stereotypes. Early introduction of STEM skills and a growth mindset are important to develop meaningful learning for both boys and girls. Promoting women in STEM fields can unlock significant economic potential for Malaysia by addressing the underrepresentation of women. Mentors and role models and challenging gender stereotypes are keys to engaging more girls and women in STEM careers.

IA Analytics: Storytelling with Data

Sharala Axryd

This document discusses the importance of using storytelling techniques when presenting data insights to others. It notes that people are more likely to remember stories than statistics, and stories are more persuasive than statistics alone. Effective data storytelling involves structuring the narrative through chronological or reverse-chronological ordering, depending on the audience. It is important to provide full context and avoid misleading visualizations when telling data stories. Data stories should question assumptions and avoid making claims not supported by the data.

Achieving greater heights at work through the power of data and analytical th...

Sharala Axryd

The document discusses the importance of women embracing data and digitalization. It notes that including women in technology conversations brings valuable perspectives to drive innovation. It also notes that many future jobs will require new skills, so retraining will be important. Women who perform technology-related tasks receive higher pay increases. However, there is a lack of female role models in technology fields. When women are left out of decision making processes, products can fail to consider women's needs. Embracing data and digital skills will help women adapt to changing skills needs and have more career opportunities.

More from Sharala Axryd (12)

The Sharala Axryd Story

The Future of Work is Here: Are You Prepared?

Be a Gamechanger, be a Data Scientist

The Future Agenda: Digitising Democracy and the Fake News Saga

Digital Business Today: Where is it heading?

Activate a Career in Data Science

Those Who Rule The Data, Rule The World

Success at Work through the Power of Analytical Thinking

Rethinking Employment in an Automated Economy

Empowerment of Women through STEM Education in Malaysia

IA Analytics: Storytelling with Data

Achieving greater heights at work through the power of data and analytical th...

Recently uploaded

UofT毕业证如何办理

exukyp

原件一模一样【微信：95270640】【多伦多大学毕业证UofT学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份【微信：95270640】 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才 → 【关于价格问题（保证一手价格）我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！办理多伦多大学毕业证硕士毕业证成绩单UofT学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。办理多伦多大学毕业证UofT学位证硕士毕业证成绩单【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：校徽：象征着学校的荣誉和传承。校名:学校英文全称授予学位：本部分将注明获得的具体学位名称。毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。办理多伦多大学毕业证硕士毕业证成绩单UofT学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。综上所述，办理多伦多大学毕业证硕士毕业证成绩单UofT学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

Monthly Management report for the Month of May 2024

facilitymanager11

一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理

slg6lamcq

原版办理【微信号:BYZS866】【南十字星大学毕业证(SCU毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Palo Alto Cortex XDR presentation .......

Sachin Paul

一比一原版(UO毕业证)渥太华大学毕业证如何办理

aqzctr7x

UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。文凭办理流程： 1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。 7完成交易删除客户资料高精端提供以下服务：一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金二：真实使馆认证（留学人员回国证明）使馆存档三：真实教育部认证教育部存档教育部留服网站可查四：留信认证留学生信息网站可查五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640） A.为什么留学生需要操作留信认证? 留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询! B.为什么我们提供的毕业证成绩单具有使用价值？查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多

End-to-end pipeline agility - Berlin Buzzwords 2024

Lars Albertsson

We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines. A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more. A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream. Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.

Build applications with generative AI on Google Cloud

Márton Kodok

We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.

办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样

apvysm8

原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样

v7oacc3l

学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理

z6osjkqvd

原版办【微信号:BYZS866】【英属哥伦比亚大学毕业证(UBC毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Open Source Contributions to Postgres: The Basics POSETTE 2024

ElizabethGarrettChri

Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.

原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理

wyddcwye1

原版制作【微信:41543339】【利兹贝克特大学毕业证(LeedsBeckett毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Intelligence supported media monitoring in veterinary medicine

AndrzejJarynowski

原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理

a9qfiubqu

原版制作【微信:41543339】【弗林德斯大学毕业证(Flinders毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Challenges of Nation Building-1.pptx with more important

Sm321

Predictably Improve Your B2B Tech Company's Performance by Leveraging Data

Kiwi Creative

Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts. Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!). From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing. - - - This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA. Watch the video recording at https://youtu.be/5vjwGfPN9lw Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/

ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake

Walaa Eldin Moustafa

Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines. #SQL #Views #Privacy #Compliance #DataLake

原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样

ihavuls

学校原件一模一样【微信：741003700 】《(unimelb毕业证书)墨尔本大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...

sameer shah

一比一原版(UO毕业证)渥太华大学毕业证如何办理

bmucuha

原件一模一样【微信：95270640】【渥太华大学毕业证UO学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份【微信：95270640】 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才 → 【关于价格问题（保证一手价格）我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。办理渥太华大学毕业证UO学位证毕业证offer【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：校徽：象征着学校的荣誉和传承。校名:学校英文全称授予学位：本部分将注明获得的具体学位名称。毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。综上所述，办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

Recently uploaded (20)

UofT毕业证如何办理

Monthly Management report for the Month of May 2024

一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理

Palo Alto Cortex XDR presentation .......

一比一原版(UO毕业证)渥太华大学毕业证如何办理

End-to-end pipeline agility - Berlin Buzzwords 2024

Build applications with generative AI on Google Cloud

办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样

在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样

一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理

Open Source Contributions to Postgres: The Basics POSETTE 2024

原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理

Intelligence supported media monitoring in veterinary medicine

原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理

Challenges of Nation Building-1.pptx with more important

Predictably Improve Your B2B Tech Company's Performance by Leveraging Data

ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake

原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样

STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...

一比一原版(UO毕业证)渥太华大学毕业证如何办理

DATA DRIVEN DECISION MAKING

1. 11 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted Sharala Axryd, Founder and CEO The Center of Applied Data Science Simon Samuel, Principal Data Scientist DATA DRIVEN DECISION MAKING

2. 22 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted “Data is a precious thing and will last longer than the systems themselves.” -Tim Berners-Lee, father of theWorldwide Web “Torture the data, and it will confess to anything.” – Ronald Coase, winner of the Nobel Prize in Economics “Data is the real currency of your company.” – Satya Nadella, CEO of Microsoft “Most of the world will make decisions by either guessing or using their gut.They will be either lucky or wrong.” - Suhail Doshi, CEO of Mixpanel

4. 44 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted We need to understand the business goals ‒ What are your strategic KPIs ‒ What are the challenges you are facing as a business ‒ How can data and analytics support delivering these objectives We explore the data and analytic capability we have to deliver these insights ‒ Do we have the data ‒ Can we get the data ‒ How sophisticated do we need to be with the analytics We consider do we have the people to deliver this capability ‒ Can we train our people ‒ How do we augment capability with external resource ‒ Are we leveraging skills across the organization Finally, we look at the tools ‒ Do these align with our business goals ‒ Are they complimentary with the skills and talent we have What does it mean to be data-driven?

5. 55 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted Handelsbanken is one of the major publicly traded Swedish banks that provides personal and corporate banking, financing, mortgage loans, investment banking, and private banking. The bank is headquartered in Stockholm.

6. 66 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted Photo can be changed to reflect the content working in Data Scientists silos Technical Skills Strategy communicated between C-Suite and Line Managers Everyone needs to understand the journey Centralize

8. 88 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted An average company loses 15-25% of its revenue due to bad data If a business is not data driven, it will not exist within five years

9. 99 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted “The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn.” — AlvinToffler, American Writer, Futurist, Businessman

10. 1010 Copyright © 2019 CADS and/or its affiliates. All rights reserved. | CADS Confidential – Internal/Restricted/Highly Restricted Failures: They are the face to customers – need to bring with you Not engaging front line colleaguesNot asking the right questions Analytics does not give us outcome expected for customer NoTest and Learn Culture Failure to learn why things don’t work… ’we’ve done that before… didn’t work’ We’ve got data but we can’t get value from it Data Swamp, Operational Data

11. 11 Success: Find an advocate in front line - if a good colleague adopting tech others will follow Personalization – you have to be relevant Customer/colleague engagement - people like me app/ smart meter app to drive usage Collaborative cross team with same goal Develop a holistic business case - Measure actual benefits but realistic, not all are standalone ROI enhanced but collectively w Value exchange critical for data capture – the answers in the data Bring analytics close to business decision makers – develop tools for business to understand

Editor's Notes

To be used as 1st and Last slide
Agenda slide
What is the HiPPO Effect? Avinash Kaushik was the first to coin the term HiPPO in his book Web Analytics: An Hour a Day. When a HiPPO is in the room and a difficult decision needs to be made but there’s not data or data analysis to determine the right course of action one way or another, the group will often defer to the judgement of the HiPPO. HiPPOs usually have the most experience and power in the room. Once their opinion is out, voices of dissent are usually shut out and in some cases, based on the culture, others fear speaking out against the HiPPO’s direction even if they disagree with it. When Ron Johnson, former head of retail at Apple who was responsible for the highly profitable Apple Stores, took over as CEO at J.C. Penney, he suffered from the HiPPO Effect. Without reviewing the existing data or investing in new data about the very different retail store he was now leading, he went full throttle ahead on his strategy for the department store chain. When his strategy was launched and he checked in to see if it was working, few had the courage to give him the unvarnished truth and be labeled as a resistor. Needless to say, his strategy wasn’t succeeding with J.C. Penney’s customers. https://finance.yahoo.com/news/jc-penneys-controversial-former-ceo-is-unsure-if-the-retailer-will-be-around-in-5-years-145259863.html The Harvard Business Review found that while 80 percent of survey respondents rely on data in their roles and 73 percent rely on data to make decisions, 84 percent still said managerial judgment is a factor when making key decisions. If you are the HiPPO, follow the example of Alfred Sloan, long-term president, chairman and CEO of General Motors who “had a strong belief about making decisions; they shouldn’t be made until someone had expressed why the ‘preferred’ option might not be the right one.” Invite disagreement; make yours a culture that you seek multiple opinions and even ask someone to play devil’s advocate prior to an important decision being made.
Leading corporations seem to be failing in their efforts to become data-driven. This is a central and alarming finding of NewVantage Partners’ 2019 Big Data and AI Executive Survey, published earlier this month. The survey participants comprised 64 c-level technology and business executives representing very large corporations such as American Express, Ford Motor, General Electric, General Motors, and Johnson & Johnson. Here are some of the alarming results from the survey: 72% of survey participants report that they have yet to forge a data culture 69% report that they have not created a data-driven organization 53% state that they are not yet treating data as a business asset 52% admit that they are not competing on data and analytics. Further, the percentage of firms identifying themselves as being data-driven has declined in each of the past 3 years – from 37.1% in 2017 to 32.4% in 2018 to 31.0% this year. These sobering results and declines come in spite of increasing investment in big data and AI initiatives. 92% of survey respondents reported that the pace of their big data and AI investments is accelerating; 88% report a greater urgency to invest in big data and AI; and 75% cite a fear of disruption as a motivating factor for big data/AI investment. In addition, 55% of companies reported that their investments in big data and AI now exceed $50MM, up from 40% just last year. Further, companies are building organizations to manage their big data/AI initiatives, with a rise in the appointment of Chief Data Officers from 12% in 2012 to 68% of organizations having created and staffed this role in the past 7 years. Data strategy is the biggest resource in gaining a competitive edge against other companies, according to the study. By ignoring data or treating it as unimportant, business leaders do their companies a huge disservice when it comes to staying ahead of the game. Businesses might be investing significant money into data capture, but then drop the ball when it comes time to actually use that data. Instead, business leaders need to focus on figuring out how to take the data and boil it down into easily digestible formats for internal use.
A college degree at the start of a working career does not answer the need for the continuous acquisition of new skills, especially as career spans are lengthening. Vocational training is good at giving people job-specific skills, but those, too, will need to be updated over and over again during a career lasting decades. – The Economist Fortunately it doesn’t take much time or money to boost your skills to make you more competitive. You just need to have a strategy for ensuring that your knowledge and skills are always up-to-date. Even if you aren’t in a technical job, technical skills like software and social media help everyone. Creative skills like graphic design and photography are also useful in a variety of jobs. Skills like project management, team leadership, and conflict resolution are critical to anyone’s success. In short, knowledge work is an area that will continue to grow; career options will become more varied and require ongoing education to remaining current.
2nd last slide. Final slide will be the same as the 1st slide.

DATA DRIVEN DECISION MAKING

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to DATA DRIVEN DECISION MAKING

Similar to DATA DRIVEN DECISION MAKING (20)

More from Sharala Axryd

More from Sharala Axryd (12)

Recently uploaded

Recently uploaded (20)

DATA DRIVEN DECISION MAKING

Editor's Notes