Understanding the evolution of Business Intelligence and Analytics and the challenges and opportunities that come with it. Exploring CGI's Data2Diamonds™ approach ensuring financial sound, technical viable and socially desirable Big Data initiatives.
Welsh Consultants publishes- Big data has affected the way that organisations do business in every industry across the world, and real estate is no exception. Understanding the term ‘big data’ will help give context to how it helps in real estate analysis. Gartner’s explanation, circa 2001, is still considered the go-to definition: ‘Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insights, superior decision-making, and effective process automation.’ This is often referred to as the ‘three Vs’ of big data. Essentially, big data is processing of large amounts of data, be it historic or real-time, and to which algorithms are applied to discover trends in user behaviour, predict future outcomes, or gain other business insights. The data sets can be structured or unstructured, and can be analysed to make precise and accurate business decisions. This paper reflects upon this in detail.
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
TechConnex Big Data Series - Big Data in BankingAndre Langevin
TechConnex is an industry forum for Canadian IT executives. This presentation from the fall of 2015 provides a survey of Hadoop adoption in the Canadian banking industry. Most adoption is driven by BCBS-239 implementation projects. The talk provides a broader risk systems perspective on Hadoop and discusses challenges and opportunities around the technology.
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
Artificial Intelligence and Digital Banking - What about fraud prevention ?Jérôme Kehrli
Artificial intelligence for banking fraud prevention.
A presentation on how it takes its root in the digitalisation ways and how it impacts customer experience.
Welsh Consultants publishes- Big data has affected the way that organisations do business in every industry across the world, and real estate is no exception. Understanding the term ‘big data’ will help give context to how it helps in real estate analysis. Gartner’s explanation, circa 2001, is still considered the go-to definition: ‘Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insights, superior decision-making, and effective process automation.’ This is often referred to as the ‘three Vs’ of big data. Essentially, big data is processing of large amounts of data, be it historic or real-time, and to which algorithms are applied to discover trends in user behaviour, predict future outcomes, or gain other business insights. The data sets can be structured or unstructured, and can be analysed to make precise and accurate business decisions. This paper reflects upon this in detail.
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
TechConnex Big Data Series - Big Data in BankingAndre Langevin
TechConnex is an industry forum for Canadian IT executives. This presentation from the fall of 2015 provides a survey of Hadoop adoption in the Canadian banking industry. Most adoption is driven by BCBS-239 implementation projects. The talk provides a broader risk systems perspective on Hadoop and discusses challenges and opportunities around the technology.
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
Artificial Intelligence and Digital Banking - What about fraud prevention ?Jérôme Kehrli
Artificial intelligence for banking fraud prevention.
A presentation on how it takes its root in the digitalisation ways and how it impacts customer experience.
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
Mohanbir Sawhney, Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management, Northwestern University presents at the 2012 Big Analytics Roadshow.
Companies are drinking from a fire hydrant of data that is too big, moving too fast and is too diverse to be analyzed by conventional database systems. Big Data is like a giant gold mine with large quantities of ore that is difficult to extract. To get value out of Big Data, enterprises need a new mindset and a new set of tools. They also need to know how to extract actionable insights from Big Data that can lead to competitive advantage. The Big Story of Big Data is not what Big Data is, but what it means for business value and competitive advantage.... read more: http://www.biganalytics2012.com/sessions.html#mohan_sawhney
Why Big Data is the foundation for Digital Transformation ?Koray Sonmezsoy
ClickZ Live Hong Kong 4-6 Aug 2015
http://www.clickzlive.com/hongkong/agenda-day1.php
Digital transformation is top-of-mind for executives across many industries. Often when thinking of digital transformation, marketers are thinking about how to amplify their digital presence through website enhancements, mobile design and social platforms. While those are certainly key tactics in a robust digital strategy, they are initiatives that must be informed by and based on data.
Any business having unsecured revolving balances have to worry about potential fraud. Why? Fraud occurences typically show an inverse proportion to an organization's customer centricity, ie, more customer centricity higher the likelihhod of a fraud occurring.
Big data is still relatively new and it is very exciting. The opportunities, if not necessarily endless, are are at least incredibly rich and varied. Aiming to bridge the link between Big Data as a Technology and Big Data as Business Value, we hope our presentation will help frame some of your thinking on how to use and benefit from this topical development.
8 reasons you need a strategy for managing information...before it's too lateJohn Mancini
Highlights from a keynote presentation that complements AIIM's free e-book -- 8 reasons you need a strategy for managing information...before it's too late.
E-book available at http://www.aiim.org/8things
Data-driven Banking: Managing the Digital TransformationLindaWatson19
The digital revolution has arrived in banking. Evolving customer expectations, increasing cyber threats and growing volumes of data are just a few of the challenges faced by traditional financial institutions.
As the internet has expanded and criminals have found more ways of creating revenue from stolen information, the need for digital threat intelligence management (DTIM) has increased. Without a means of early identification, companies that are being targeted have no way of knowing their customer’s or employee’s security is threatened or that their brand is being stolen, resulting in an erosion of reputation. DTIM is the early warning system to aid those organizations in identifying the infringements and thefts before severe damage is done.
These slides--based on the webinar from leading IT analyst firm Enterprise Management Associates (EMA) and RiskIQ -- highlight why DTIM is a growing necessity for mid- and large-sized organizations.
Unlocking Value of Data in a Digital AgeRuud Brink
InfoGraphic about Intelligence Hubs as accelerator of the Digital organisation. Five steps how you could think big, and act small to unlock value of Data in your organisation. Contact me for the office A0 poster.
Big Data: Real-life examples of Business Value Generation with ClouderaCapgemini
Capgemini has helped multiple organizations to put Big Data to work and create value for their business and their clients.
This prsentation looks at real-world cases of how organizations are using, or planning to use, big data technology. It will look at the different ways in which the technology is being used in a business context.
Examples are drawn from Retail, Telco, Financial Services, Public Sector and Consumer goods.
It will look at a range of business scenarios from simple cost reduction through to new business models looking at how the business case has been built and what value has been realized.
It will also look at some of the practical challenges and approaches taken and specifically the application of Enterprise Data Hubs in collaboration with its prime partner Cloudera.
Written by Richard Brown, Global Programme Leader, Big Data & Analytics, Capgemini
Artificial Intelligence for Banking Fraud PreventionJérôme Kehrli
Artificial Intelligence at NetGuardians:
"From skepticism to large scale adoption towards fraud prevention"
Slides of my speech at the EPFL / EMBA Innovation Leader 2018 event.
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
Mohanbir Sawhney, Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management, Northwestern University presents at the 2012 Big Analytics Roadshow.
Companies are drinking from a fire hydrant of data that is too big, moving too fast and is too diverse to be analyzed by conventional database systems. Big Data is like a giant gold mine with large quantities of ore that is difficult to extract. To get value out of Big Data, enterprises need a new mindset and a new set of tools. They also need to know how to extract actionable insights from Big Data that can lead to competitive advantage. The Big Story of Big Data is not what Big Data is, but what it means for business value and competitive advantage.... read more: http://www.biganalytics2012.com/sessions.html#mohan_sawhney
Why Big Data is the foundation for Digital Transformation ?Koray Sonmezsoy
ClickZ Live Hong Kong 4-6 Aug 2015
http://www.clickzlive.com/hongkong/agenda-day1.php
Digital transformation is top-of-mind for executives across many industries. Often when thinking of digital transformation, marketers are thinking about how to amplify their digital presence through website enhancements, mobile design and social platforms. While those are certainly key tactics in a robust digital strategy, they are initiatives that must be informed by and based on data.
Any business having unsecured revolving balances have to worry about potential fraud. Why? Fraud occurences typically show an inverse proportion to an organization's customer centricity, ie, more customer centricity higher the likelihhod of a fraud occurring.
Big data is still relatively new and it is very exciting. The opportunities, if not necessarily endless, are are at least incredibly rich and varied. Aiming to bridge the link between Big Data as a Technology and Big Data as Business Value, we hope our presentation will help frame some of your thinking on how to use and benefit from this topical development.
8 reasons you need a strategy for managing information...before it's too lateJohn Mancini
Highlights from a keynote presentation that complements AIIM's free e-book -- 8 reasons you need a strategy for managing information...before it's too late.
E-book available at http://www.aiim.org/8things
Data-driven Banking: Managing the Digital TransformationLindaWatson19
The digital revolution has arrived in banking. Evolving customer expectations, increasing cyber threats and growing volumes of data are just a few of the challenges faced by traditional financial institutions.
As the internet has expanded and criminals have found more ways of creating revenue from stolen information, the need for digital threat intelligence management (DTIM) has increased. Without a means of early identification, companies that are being targeted have no way of knowing their customer’s or employee’s security is threatened or that their brand is being stolen, resulting in an erosion of reputation. DTIM is the early warning system to aid those organizations in identifying the infringements and thefts before severe damage is done.
These slides--based on the webinar from leading IT analyst firm Enterprise Management Associates (EMA) and RiskIQ -- highlight why DTIM is a growing necessity for mid- and large-sized organizations.
Unlocking Value of Data in a Digital AgeRuud Brink
InfoGraphic about Intelligence Hubs as accelerator of the Digital organisation. Five steps how you could think big, and act small to unlock value of Data in your organisation. Contact me for the office A0 poster.
Big Data: Real-life examples of Business Value Generation with ClouderaCapgemini
Capgemini has helped multiple organizations to put Big Data to work and create value for their business and their clients.
This prsentation looks at real-world cases of how organizations are using, or planning to use, big data technology. It will look at the different ways in which the technology is being used in a business context.
Examples are drawn from Retail, Telco, Financial Services, Public Sector and Consumer goods.
It will look at a range of business scenarios from simple cost reduction through to new business models looking at how the business case has been built and what value has been realized.
It will also look at some of the practical challenges and approaches taken and specifically the application of Enterprise Data Hubs in collaboration with its prime partner Cloudera.
Written by Richard Brown, Global Programme Leader, Big Data & Analytics, Capgemini
Artificial Intelligence for Banking Fraud PreventionJérôme Kehrli
Artificial Intelligence at NetGuardians:
"From skepticism to large scale adoption towards fraud prevention"
Slides of my speech at the EPFL / EMBA Innovation Leader 2018 event.
Business plan revised and new financial figures for a leaner model - leading to an improved presentation, introducing the founder and the revolutionary technology and clarification on projected figures.
this is a new version of the pitch, which highlights the difference between eLEDGER and its competition - focusing on what it DOESN'T share in common with other packages, instead of features which are basically common to ALL the offerings in this market
Technology tech trends 2022 and beyond Brian Pichman
It's that time of year again, where we get to look ahead and finally have some good news. Tech enthusiast Brian Pichman of the Evolve Project will showcase the latest technology trends and how that impact our learning spaces and spaces at home. It is guaranteed to make you forget about all of 2020 and 2021....well maybe that's a new technology about to be released, the MIB memory eraser. Join this exciting webinar and leave with some high hopes of new technology to explore!
What is big data ? | Big Data ApplicationsShilpaKrishna6
Big data is similar to ‘small data’ but bigger in size. It is a term that describes the large volume of data both structured and unstructured. Big data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques
How Insurers Fueled Transformation During a PandemicNuxeo
For many insurers, the past year has accelerated strategic investments to manage remote workforces, support virtual claims handling, and face off with FinTech upstarts.
In this webinar, we look at how leading insurers not only addressed the immediate challenges caused by global lockdowns but also found new efficiencies along the way. Get insights into some of the emerging technologies that are driving innovation in insurance, including the Cloud, artificial intelligence, and low-code. We also explore how these technologies reduce claims leakage while improving claims accuracy, employee productivity, and customer satisfaction.
How big data analytics can optimize the telecom sector GlobalTechCouncil
We are in the era of Big data. Big data is presenting excellent optimizing opportunities to the companies in various sectors. Big data when analyzed well, can provide actionable insights that aids in devising strategies to optimize multiple business processes.
Big data has become an essential part of the telecom industry due to the enormous amount of data being generated by the telecom world. Telecom operators are sitting on gold mines as the smart devices have enabled the telecom operators to gain access to specific information about their customers’ behavior, preferences, movement, etc.
The Fast Fish Forum is an opportunity for challengers of convention and drivers of progress to come together for the benefit of South African business and society. The forum consists of purposeful, committed and open-minded people across industries, organisations and roles who collaborate and learn together; creating a critical mass that drives innovative change in our country.
At the second event, held at the BSG offices on 16 November 2016, we discussed two highly topical subjects:
1. Enhancing customer value using big data and actionable insights.
2. Driving innovation through customer insights.
To find out more and join the conversation follow us @FastFishForum and http://bit.ly/fastfishforum.
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the enterprise mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and data architecture. William will kick off the fifth year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
The Future Of Big Data In Business – 4 Emerging Trends In 2022.pptxArpitGautam20
Here are some exciting trends that will dictate the future of Big Data in Business in 2022. Read on to know about these exciting developments. https://arsr.tech/the-future-of-big-data-in-business-4-emerging-trends-in-2022/
Leveraging big data to drive marketing innovationAndrew Leone
Summary of the book: "The Big Data-Driven Company." Contains insights into leveraging data to drive marketing innovation. To buy this book: http://amzn.to/1YTdtqY
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
Digitally mature companies outperform their peers by 26% in terms of profitability, driving utilities to adopt transformative programs such as digital utility transformation (DUT).
This presentation dives into one key aspect of DUT that is changing our industry: utility analytics—business intelligence, data organization, and analytics platforms supporting data-driven enterprises. Keeping the architecture consistent across the enterprise with fragmented budgets and diverse business requirements is difficult.
The presentation explores the experiences of a client as it established consensus on budgets, architectures, and technologies.
Originally presented at Oracle OpenWorld 2014 by David DuCharme, Capgemini's NA Utilities Leader, Victor Jimenez, Capgemini Utilities Executive, and Michael Glass, Director, Demand Side Systems, Pacific Gas & Electric Company.
http://www.capgemini.com/oracle
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Short video marketing has sweeped the nation and is the fastest way to build an online brand on social media in 2024. In this session you will learn:- What is short video marketing- Which platforms work best for your business- Content strategies that are on brand for your business- How to sell organically without paying for ads.
Is AI-Generated Content the Future of Content Creation?Cut-the-SaaS
Discover the transformative power of AI in content creation with our presentation, "Is AI-Generated Content the Future of Content Creation?" by Puran Parsani, CEO & Editor of Cut-The-SaaS. Learn how AI-generated content is revolutionizing marketing, publishing, education, healthcare, and finance by offering unprecedented efficiency, creativity, and scalability.
Understanding
AI-Generated Content:
AI-generated content includes text, images, videos, and audio produced by AI without direct human involvement. This technology leverages large datasets to create contextually relevant and coherent material, streamlining content production.
Key Benefits:
Content Creation: Rapidly generate high-quality content for blogs, articles, and social media.
Brainstorming: AI simulates conversations to inspire creative ideas.
Research Assistance: Efficiently summarize and research information.
Market Insights:
The content marketing industry is projected to grow to $17.6 billion by 2032, with AI-generated content expected to dominate over 55% of the market.
Case Study: CNET’s AI Content Controversy:
CNET’s use of AI for news articles led to public scrutiny due to factual inaccuracies, highlighting the need for transparency and human oversight.
Benefits Across Industries:
Marketing: Personalize content at scale and optimize engagement with predictive analytics.
Publishing: Automate content creation for faster publication cycles.
Education: Efficiently generate educational materials.
Healthcare: Create accurate content for patients and professionals.
Finance: Produce timely financial content for decision-making.
Challenges and Ethical Considerations:
Transparency: Disclose AI use to maintain trust.
Bias: Address potential AI biases with diverse datasets.
SEO: Ensure AI content meets SEO standards.
Quality: Maintain high standards to prevent misinformation.
Conclusion:
AI-generated content offers significant benefits in efficiency, personalization, and scalability. However, ethical considerations and quality assurance are crucial for responsible use. Explore the future of content creation with us and see how AI is transforming various industries.
Connect with Us:
Follow Cut-The-SaaS on LinkedIn, Instagram, YouTube, Twitter, and Medium. Visit cut-the-saas.com for more insights and resources.
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
Core Web Vitals SEO Workshop - improve your performance [pdf]Peter Mead
Core Web Vitals to improve your website performance for better SEO results with CWV.
CWV Topics include:
- Understanding the latest Core Web Vitals including the significance of LCP, INP and CLS + their impact on SEO
- Optimisation techniques from our experts on how to improve your CWV on platforms like WordPress and WP Engine
- The impact of user experience and SEO
First Things First: Building and Effective Marketing Strategy
Too many companies (and marketers) jump straight into activation planning without formalizing a marketing strategy. It may seem tedious, but analyzing the mindset of your targeted audiences and identifying the messaging points most likely to resonate with them is time well spent. That process is also a great opportunity for marketers to collaborate with sales leaders and account managers on a galvanized go-to-market approach. I’ll walk you through the methods and tools we use with our clients to ensure campaign success.
Key Takeaways:
-Recognize the critical role of strategy in marketing
-Learn our approach for building an actionable, effective marketing strategy
-Receive templates and guides for developing a marketing strategy
AI-Powered Personalization: Principles, Use Cases, and Its Impact on CROVWO
In today’s era of AI, personalization is more than just a trend—it’s a fundamental strategy that unlocks numerous opportunities.
When done effectively, personalization builds trust, loyalty, and satisfaction among your users—key factors for business success. However, relying solely on AI capabilities isn’t enough. You need to anchor your approach in solid principles, understand your users’ context, and master the art of persuasion.
Join us as Sarjak Patel and Naitry Saggu from 3rd Eye Consulting unveil a transformative framework. This approach seamlessly integrates your unique context, consumer insights, and conversion goals, paving the way for unparalleled success in personalization.
Digital Commerce Lecture for Advanced Digital & Social Media Strategy at UCLA...Valters Lauzums
E-commerce in 2024 is characterized by a dynamic blend of opportunities and significant challenges. Supply chain disruptions and inventory shortages are critical issues, leading to increased shipping delays and rising costs, which impact timely delivery and squeeze profit margins. Efficient logistics management is essential, yet it is often hampered by these external factors. Payment processing, while needing to ensure security and user convenience, grapples with preventing fraud and integrating diverse payment methods, adding another layer of complexity. Furthermore, fulfillment operations require a streamlined approach to handle volume spikes and maintain accuracy in order picking, packing, and shipping, all while meeting customers' heightened expectations for faster delivery times.
Amid these operational challenges, customer data has emerged as an important strategy. By focusing on personalization and enhancing customer experience from historical behavior, businesses can deliver improved website and brand experienced, better product recommendations, optimal promotions, and content to meet individual preferences. Better data analytics can also help in effectively creating marketing campaigns, improving customer retention, and driving product development and inventory management.
Innovative formats such as social commerce and live shopping are beginning to impact the digital commerce landscape, offering new ways to engage with customers and drive sales, and may provide opportunity for brands that have been priced out or seen a downturn with post-pandemic shopping behavior. Social commerce integrates shopping experiences directly into social media platforms, tapping into the massive user bases of these networks to increase reach and engagement. Live shopping, on the other hand, combines entertainment and real-time interaction, providing a dynamic platform for showcasing products and encouraging immediate purchases. These innovations not only enhance customer engagement but also provide valuable data for businesses to refine their strategies and deliver superior shopping experiences.
The e-commerce sector is evolving rapidly, and businesses that effectively manage operational challenges and implement innovative strategies are best positioned for long-term success.
How to Run Landing Page Tests On and Off Paid Social PlatformsVWO
Join us for an exclusive webinar featuring Mariate, Alexandra and Nima where we will unveil a comprehensive blueprint for crafting a successful paid media strategy focused on landing page testing.With escalating costs in paid advertising, understanding how to maximize each visitor’s experience is crucial for retention and conversion.
This session will dive into the methodologies for executing and analyzing landing page tests within paid social channels, offering a blend of theoretical knowledge and practical insights.
The Pearmill team will guide you through the nuances of setting up and managing landing page experiments on paid social platforms. You will learn about the critical rules to follow, the structure of effective tests, optimal conversion duration and budget allocation.
The session will also cover data analysis techniques and criteria for graduating landing pages.
In the second part of the webinar, Pearmill will explore the use of A/B testing platforms. Discover common pitfalls to avoid in A/B testing and gain insights into analyzing A/B tests results effectively.
It's another new era of digital and marketers are faced with making big bets on their digital strategy. If you are looking at modernizing your tech stack to support your digital evolution, there are a few can't miss (often overlooked) areas that should be part of every conversation. We'll cover setting your vision, avoiding siloes, adding a democratized approach to data strategy, localization, creating critical governance requirements and more. Attendees will walk away with actions they can take into initiatives they are running today and consider for the future.
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.\
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
Everyone knows the power of stories, but when asked to come up with them, we struggle. Either we second guess ourselves as to the story's relevance, or we just come up blank and can't think of any. Unlocking Everyday Narratives: The Power of Storytelling in Marketing will teach you how to recognize stories in the moment and to recall forgotten moments that your audience needs to hear.
Key Takeaways:
Understand Why Personal Stories Connect Better
How To Remember Forgotten Stories
How To Use Customer Experiences As Stories For Your Brand
2. Data to Diamonds
Turning information into a competitive asset
• Understanding the evolution of Business Intelligence and Analytics
and the challenges and opportunities that come with it…
• Big Data, BIG commodity or BIG asset?
• Big Data, don't think, act BIG?
• Big Data, BIG profit or BIG liability?
Henk van Roekel
Co-leader CGI Business Intelligence and Analytics Practice
Henk van Roekel is CGI’s BI and Analytics practice co-leader with a primary
focus on Europe. Henk has a background of over 15 years in Business
Intelligence and Information Management, working with major global clients
in key Industries. Henk is the founding father of CGI’s “Data to Diamonds”
methodology and leading an international team of experts in the field. Henk is
a Business Intelligence Professional certified by TDWI (The Data Warehouse
Institute).
2
Data2Diamonds™
3. Introduction
1. What is the current state of BI and Analytics, where did
we come from and what is ahead of us…
2. What are the key challenges we face in applying state of
the art BI and Analytics today, and how do we manage
these “Big Data” challenges…
3. What Business opportunities do BI and Analytics bring
today, leveraging “Big Data” Technologies…
3
Data2Diamonds™
4. BI and Analytics scenario’s
Domain
Application
Performance
Management
Information
Discovery
Enterprise
Reporting
Integrated BI in
commercially
available
applications
Moving toward
collaborative and
agile Decision
Making
Improving
usability through
in-build analytical
modelling and
visualization
Increasing and
quickly changing
demands on
accountability
4
Data2Diamonds™
5. Globally, there are 7 billion mobile
phones, 1.5 billion are
smartphones.
The impact of Big Data
• Data complexity is increasing in
• Size – Volume
• Speed of Change – Velocity
• Data Sources - Variety
• Most significant types:
• Social networking
• Machine to Machine (M2M)
We spend nearly 40% of our
Internet time on our mobile
devices.
80% of consumers plan to
participate in mobile commerce
within the next year.
There are over 2 million apps, 98
billion apps have been
downloaded.
47% of users prefer mobile
because it is "easy to use" and
"constantly with them", 28% say it
is a more private way to consume
information and communicate.
Smartphone customers spend an
average of 115 minutes per week
using social networking apps on
their device.
Total mobile traffic volumes from
2012 ALONE exceed all previous
years COMBINED.
How many data points does your household generate each day…
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Data2Diamonds™
6. The evolution of BI and Analytics
Business Value Driven
Value
How we can make
it happen?
Governance
Prescriptive
Analytics
• Business Value and Adoption
• Process and Governance
What will happen?
• Technology
Predictive
Analytics
IT Cost Driven
Why did it happen?
+
Diagnostic
Analytics
Delivery
What happened?
• User Experience
Descriptive
Analytics
• Competitive Costing
• Agility
• Sustainability
Time
To Date
6
Data2Diamonds™
7. Challenges
• Financially sound; creating value from Big Data requires application
of deep knowledge of opportunities and challenges in specific market
domains.
• Technically viable; overhearing the software vendors, everything is
possible these days. But what about understanding, availability and
trustworthiness of the data?
• Socially desirable; what level of data collection and usage is
acceptable in your eco-system, either based on Government or
Industry regulations or on social acceptance.
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Data2Diamonds™
8. Financially Sound
Focus on the right Use Case
Financial Services
Public Sector
Energy and
Utilities
Payments have shifted
from cash to cards or
electronic
transfers, containing fraud
and complying with rules
on money-laundering is
becoming even more
challenging.
Growth in open data and its
availability for real-time use
offer new challenges to
data processing and to the
design of useful services
around the data.
Consumer and microgeneration will require
more sophisticated grid
management and billing,
requiring real-time analysis
of massive flows of data.
Increase Public Safety
whilst lowering costs,
leveraging Location
Intelligence and Citizen
Participation.
The affordability of energy
will be defined by
consumer behavior as well
as markets, requiring better
understanding of customer
needs and behavior.
Turning unstructured data
into intelligence to make
the claims process more
efficient as well as move
toward a customer-centric
approach.
8
Retail
Sentiment analysis
leverages the voluminous
streams of data generated
by consumers in the
various forms of social
media to help inform a
variety of business
decisions.
Time- and location specific
personalized
advertisements and
notifications, route
optimization, navigation
support.
Data2Diamonds™
9. Technical Viable
Focus on Data and Decision Culture
Success Factors
Challenges
Talent Management
• Business linkage
• Large data sets
• Statistics
Data sources
• Creatively source internal & external data
• Upgrade IT architecture & infrastructure for
easy & fast ingestion of data
Technology
• Unstructured modelling
• Hadoop
• Analytics & Visualization
Prediction & Optimization Models
• Focus on biggest drivers of performance
• Build or acquire models that balance
complexity with ease of use
Decision Making
• Authority & responsibility
• Information & decision co-location
Organizational Transformation
• Simple, understandable tools for people on
front lines
• Update processes and develop business
capabilities to enable tool use
“80% of organizations report Big Data initiatives, 20% rank current capabilities
adequate” – Harvard Business Review inside Fortune 1000, sept 2012
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Data2Diamonds™
10. Socially Desirable
What do you find acceptable
• Comply with appropriate local, global
and Industry specific Privacy and
Data Security regulations.
• Comply with the ethical code of
conduct in your own organization and
within your eco-system.
• Consider side effects of Big Data
analytics based actions in your ecosystem.
7 June - The U.S. security agencies
NSA and FBI have access to all
kinds of data users include
Google, Apple and Facebook.
Jun 16 - British security services
have tapped foreign politicians and
officials at two conferences of the
G20 in Britain in 2009.
Jul 11 - Microsoft supported the
U.S. Secret Service NSA in reading
emails from Hotmail and
Outlook.com.
Jul 31 - U.S. security NSA has
almost unlimited access to all
online information from anyone in
the world.
Oct 28 - The U.S. National Security
Agency in a month's time recorded
60 million calls in Spain.
Nov 17 - The British secret service
agency GCHQ monitors worldwide
bookings of 350 hotels, which are
widely used by diplomats and
senior government officials.
The average household generates 2000 data points per day…
10
Data2Diamonds™
11. Opportunities
• Pricing optimization - with sufficient data, the relationship between
demand and price can be modelled for any product and then used to
determine the best pricing strategy.
• Health outcomes - models connecting symptoms and treatments to
outcomes are seeing wider use by providers.
• Improper public benefits payments and fraud - benefits are
sometimes paid when they should not be, wasting taxpayers’ money
and making benefits less available to those who deserve them.
• Predicting and preventing crime - predictive models help determine
high-risk situations and hotspots for preventive action.
11
Data2Diamonds™
12. Increasing Citizen Safety
Leveraging Social Networking Analytics
• Civilians report a heightened sense
of safety
• Increased collaboration among
civilians. Higher awareness and
feeling of “being involved”
• Police responses were considered
to be “faster than usual”: Instant
awareness of police officers.
Responses within minutes.
• Civilians and shop owners would
like to see the system being
permanently operational
12
Data2Diamonds™
13. Optimizing Patient Care
Leveraging Healthcare Analytics
• Automate Analyses of structured
and unstructured data to gain
patient and population insights,
e.g., predict high risk patients,
personalize health care plans
• Deliver insights into care team
applications: EMRs, Case
Management, Care coordination
solutions
• Use insights to define more
effective, personalized care plans,
drive better outcomes, and lower
treatment costs
13
CGI
HIM
Data2Diamonds™
14. Wrap up
1. The demand for automated decision making, based on
predictive analytics and leveraging Big Data, is growing
rapidly as businesses need to become more forward
looking.
2. To be successful in this arena a structured approach is
required to continuous monitor and assess Technical
viability, Financial Soundness and Social desirability.
3. The BI and Analytics arena offers great opportunities for
many Industries and, has already proven to be a key
differentiator in achieving better business results.
Are you ready to turn your data to diamonds…
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Data2Diamonds™
15. What clients say about the value of their BI work with CGI
“The CGI Data to Diamonds Framework is the most comprehensive BI methodology I have seen, after meeting
lots of BI vendors and systems integrators worldwide.” - Nikolaus Walkowsky, DHL Express Global BI Manager
“Major benefits [of the CGI BI solution] include having archived information at your fingertips; being able to get
information in a matter of seconds vs. days or months; and use of business terms that are familiar to the State of
Alaska employees” June Gotschall, Alaska Department of Administration- Division of Finance
“As a leading supplier, we knew that CGI had the expertise and experience to provide Application Management
Services that would meet the most exacting standards.”- Laurent Conversy , Head of Purchasing for IT, BNP
Paribas
“DAMAS is an ambitious and innovative project which gathers and offers lots of information about the commodity
markets. It ensures information reliability and provides users with a powerful analysis software, allowing
knowledge and know-how sharing and pooling” - Daniel Lauré, Strategy, Markets and IT Director, Total
"With CGI Management Consulting, with more than 100 key performance indicators in hand we managed to
accelerate decision making and effectively lead our company to success." - Tufan Ozkan, Finance Director,
Bombardier Transportation
"Integrating two banks is a complex assignment. Millions of customers have to be informed customer data,
product data and personnel data must be integrated. Speed and quality were the most important deliverables.
CGI worked on all aspects of the data migration and delivered on time with the right level of quality" - Jan Robat,
ABN AMRO Migration Manager
15
Data2Diamonds™
16. Our commitment to you
We approach every engagement with one
objective in mind: to help clients succeed
16
17. Flavor of our Engagements in Manufacturing, Retail & Distribution
Enabling the client to develop, test
and deploy new marketing strategies,
by CGI's implementation of Customer
Analytics. – PMU
Design, build of a Business
Intelligence & marketing campaigns
solution with a European wide
deployment (24 countries) with
hosting facilities - Nissan
BI and Analytics implemented by
CGI, provide insight into cause/effect
relationships and enable
measurement of treatment strategy
effectiveness. - A Fortune 50
Manufacturer
Facilitating the collection analysis and
calculations of various indicators to
improve Marketing and Sales
information. – Large Entertainment
Company
Data2Diamonds™
18. Flavor of our Engagements in Banking and Insurance
“The CGI team performed a smooth
and seamless migration, showing
great flexibility and determination to
meet quality and timeline criteria.” Program Manager ABN AMRO
“CGI came on board having set a high
expectation of delivery in a short
timescales … they have successfully
delivered on both. I’m delighted that we
have had such a positive outcome.” Margaret McLay, Head of Finance, MI,
Risk & Treasury, Tesco Bank
Reducing Total Cost of Ownership
(TCO) and improving flexibility and
continuity, leveraging CGI BI
Outsourcing Services. – BNP
Paribas
Eliminate the limitations and Inherent
risks associated with sun setting the
old reporting environment, introducing
new technology with enhanced
performance and functionalities. –
Cigna Group Insurance
Data2Diamonds™
19. Flavor of our Engagements in Energy and Utilities
Based on the results of the BI scan
the BI strategy was adjusted, optimal
buy-in and commitment from all
stakeholders was created - Peter
Holmgrene, Business Information
Officer, Vattenfall
“The collaboration and decision platform
created by CGI ensures information
reliability and provides users with a
powerful analysis software, allowing
knowledge and know-how sharing and
pooling” - Daniel Lauré, Strategy, Markets
and IT Director, Total
Full Business Process Outsourcing of
Fuel Cards Business, including
associated Business Intelligence
Services. - Shell
Providing a shared view on current
maturity and next steps to take in
ATCO Electric BI Strategy and
Roadmap, using CGI's "Data to
Diamonds" framework services. –
ATCO Electric
Data2Diamonds™
20. Flavor of our Engagements in Health and Government
CGI provided the platform enabling
alignment of analytical activities and
improved collaboration, improving
individual and collective efficiency
and effectiveness. - Alberta Health &
Wellness
Early Wins implemented with proven
increases in revenue, leveraging
CGI's revenue collection solution. State of California Franchise Tax
Board
Improving self service BI with client
by CGI's implementation of QlikView
reporting environment. - Sanofi
CGI implemented the new information
foundation, enabling the client to
sustain and extend their business as
the prime healthcare information
broker. – Vektis
Data2Diamonds™
21. Flavor of our Engagements in Telco, Media & Entertainment
Continuous improvement of business
value of BI and Analytics as the
strategic partner (over 15 years) for
this client to develop and maintain all
IM, BI and Analytics applications. –
Bell Canada
Better Time to Market and reduced
TCO in Preparation, consolidation
and monitoring of fiscal data for the
turnover, leveraging the new BI
landscape delivered by CGI. JCDecaux
One of the world’s largest
telecommunications services
company selected CGI when they
decided to outsource application
maintenance and development of
their business critical applications.
TeliaSonera
Improved reporting and dashboards
enable focus on sales performance
acceleration, leveraging CGI's BI
solution. – Wegener
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Data2Diamonds™
22. Our commitment to you
We approach every engagement with one
objective in mind: to help clients succeed
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