The document introduces the SAP HANA Big Customer App, which is designed to help companies uncover new customer opportunities using big data. It allows companies to blend private and public customer data to generate insights, perform both historical and predictive analytics, group customers, recommend products, forecast sales, reduce churn, and more, all in a simple and fast manner without needing to hire additional resources. The app provides features like discovering nearby customers, checking churn rates, and exploring top products.
Big Data, Big Thinking: Delight Your CustomersSAP Technology
How can you delight your customers using insight from Big Data?
In this webinar, Bastian Finkel, Director of Strategy and Corporate Development at hybris software and Manuel Sevilla, VP and CTO Global BIM, Capgemini, looked at how Big Data applications, powered by SAP HANA, can fuel real-time retail.
Presentación Leandro Ruiz, Director Preventa Regional para CLA en Teradata en el 14º Congreso Internacional de Tecnología para el Negocio Financiero.
2 y 3 de julio de 2014
Tableau Conference 2014: How One Agency Evolved from Vendor to Strategic PartnerSIGMA Marketing Insights
Andrew Lucyszyn, VP of Digital, tells the story of how SIGMA transformed from a standard vendor to a trusted, valued strategic partner for a client with the help of Tableau technology.
This presentation was originally shared on September 9, 2014 in Seattle.
Our AI-powered analytics solutions for retailers and marketers can influence your customers’ shopping lists and then provide recommendations along every inch of their shopping journey.
Big Data, Big Thinking: Delight Your CustomersSAP Technology
How can you delight your customers using insight from Big Data?
In this webinar, Bastian Finkel, Director of Strategy and Corporate Development at hybris software and Manuel Sevilla, VP and CTO Global BIM, Capgemini, looked at how Big Data applications, powered by SAP HANA, can fuel real-time retail.
Presentación Leandro Ruiz, Director Preventa Regional para CLA en Teradata en el 14º Congreso Internacional de Tecnología para el Negocio Financiero.
2 y 3 de julio de 2014
Tableau Conference 2014: How One Agency Evolved from Vendor to Strategic PartnerSIGMA Marketing Insights
Andrew Lucyszyn, VP of Digital, tells the story of how SIGMA transformed from a standard vendor to a trusted, valued strategic partner for a client with the help of Tableau technology.
This presentation was originally shared on September 9, 2014 in Seattle.
Our AI-powered analytics solutions for retailers and marketers can influence your customers’ shopping lists and then provide recommendations along every inch of their shopping journey.
Raise your Brand's Analytics IQ with Salesforce EinsteinGib Bassett
From Salesforce Connections 2019: Advanced analytics like Machine Learning are typically the purview of only large companies with Data Science and Data Engineering teams. Einstein is all about bringing the power of data science to everyone, at scale, and often transparently so you don’t know it’s there working to improve a critical business process. Whether your company has a Chief Data Officer or not, chances are it’s interested in partaking in the AI revolution. Companies that achieve the greatest value from analytics look across their business for improvement opportunities – and Consumer Goods companies are no exception. In this session, see all the use cases enabled by Einstein that help you deliver more seamless and profitable consumer experiences. Take away a plan to chart your own course to raising your company’s analytics IQ with Salesforce!
It is with great privilege and joy that we were invited by Reed Exhibition (RX) to give a talk on data analytics at their Annual RX Asia-Pacific Regional Sales and Marketing Academy in Shanghai.
This deck was used in the guest lecture delivered by Ganes at the Rutgers Business School, New Jersey, on July 7th, 2021. These slides were supplemented with a live business case that was used for the class discussion.
Discover Practical AI use cases in Customer Service! In this webinar, you will learn how to lower the time to first response and time to resolution to keep your SLAs intact, as well as about chatbots, ticket tagging, and urgency detection. We will also mention some technologies, such as text recognition and sentiment analysis.
If you are a dealer or a sub-dealer or a business man with a large business or a massive client’s database, in that case you should try using ping post lead technology for your business management.
What is Big Data at SAP?
Overview: Big Data refers to the challenges of capturing, managing, and analyzing large volumes of various types of data with great velocity. Big Data presents a big opportunity for you to gain greater business value. From
major league sports and personalized shopping to carbon reduction and cancer treatment, organizations are leveraging Big Data to re-imagine what is possible.
Grab the Big Data opportunity with:
• SAP HANA platform – accelerate your ability to
acquire, analyze, and act on Big Data
• Analytic tools and applications – drive Big Data
insights directly into your business operations and
equip people to make data-driven decisions
• Data science services – uncover new signals to
discover new business opportunities
With an end-to-end offering from SAP, you can make
your Big Data project run in real-time, delivering real
results.
Dickinson + Associates hosted an ASUG Affiliate Webinar entitled "Getting Started with BI Analytics on HANA." Rob Jerome and Tim Korba presented alongside John Zwack, Senior Channel Development Director at SAP.
This webinar introduced attendees to the power of SAP BI Analytics on SAP HANA. A few things you can take away from the webinar slides:
• Overview of the HANA Enterprise architecture
• Integration touch points with SAP systems
• Direct integration with the BI 4.0 suite of analytical solutions
• Introduction to development concepts of HANA Studio, focusing on schemas, analytical and calculation views
MEBIS 2017: Next Generation Banking AnalyticsMDS ap
Today's digital empowered customers are challenging the business world. They become increasing savvy in their search for the best offers; their expectations continue to rise; their choices are growing too. Effectively customers engagement based on Real-Time Insight is the new imperative for all banks today.
In this presentation, MDS ap demonstrates how the next generation marketing technology leverages real-time customer context to deliver the optimum customer experience.
Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytic...agileDSS
Les bénéfices de l’analyse prédictive sont trop souvent sous-utilisés dans les entreprises.Que ce soit par un manque d’expertise à l’interne ou, par une lourdeur du processus de mise à disposition des modèles statistiques, cette réalité limite l’utilisation de l’analyse prédictive au sein de l’entreprise.
SAP Predictive Analytics 2.0, démultiplie les possibilités d’utiliser l’analyse prédictive dans vos processus d’affaires. Sans forcément avoir de connaissance en statistique, les lignes d’affaires pourront avoir accès à la puissance d’un outil d’analyse prédictive complet dans leurs travaux au quotidien.
De plus, cet outil permet même de satisfaire les statisticiens les plus chevronnés grâce à un tout nouveau mode ‘’expert’’ inclus dans la version 2.0
Bruno Delahaye, VP Analyse Prédictive chez SAP, vous illustrera les capacités de l’outil à travers des cas clients comme ceux de Walmart, Rogers, RBC, Equifax et HMV.
Pourquoi participer?
- Voyez, avec l'aide de démonstrations, comment vous pouvez optimiser vos processus d’affaires, et apporter de meilleurs résultats d’affaires en toute confiance avec des analyses prédictives.
- Découvrez comment plusieurs entreprises de diverses industries comme Sears, Walmart, Rogers, RBC, Equifax et HMV utilisent actuellement la puissance, la rapidité et la facilité d'utilisation de SAP Predictive Analytics.
- Informez-vous sur comment cet outil peut réduire drastiquement le temps pour déployer des solutions prédictives en automatisant la construction de modèles prédictifs.
Today we are beyond the point where big data is in the prototype stage. We are entering an era where automation, integration and end-to-end solutions need to be built rapidly to facilitate disruption. Companies need to architect a
platform for Big Data (and traditional data) analytics
Raise your Brand's Analytics IQ with Salesforce EinsteinGib Bassett
From Salesforce Connections 2019: Advanced analytics like Machine Learning are typically the purview of only large companies with Data Science and Data Engineering teams. Einstein is all about bringing the power of data science to everyone, at scale, and often transparently so you don’t know it’s there working to improve a critical business process. Whether your company has a Chief Data Officer or not, chances are it’s interested in partaking in the AI revolution. Companies that achieve the greatest value from analytics look across their business for improvement opportunities – and Consumer Goods companies are no exception. In this session, see all the use cases enabled by Einstein that help you deliver more seamless and profitable consumer experiences. Take away a plan to chart your own course to raising your company’s analytics IQ with Salesforce!
It is with great privilege and joy that we were invited by Reed Exhibition (RX) to give a talk on data analytics at their Annual RX Asia-Pacific Regional Sales and Marketing Academy in Shanghai.
This deck was used in the guest lecture delivered by Ganes at the Rutgers Business School, New Jersey, on July 7th, 2021. These slides were supplemented with a live business case that was used for the class discussion.
Discover Practical AI use cases in Customer Service! In this webinar, you will learn how to lower the time to first response and time to resolution to keep your SLAs intact, as well as about chatbots, ticket tagging, and urgency detection. We will also mention some technologies, such as text recognition and sentiment analysis.
If you are a dealer or a sub-dealer or a business man with a large business or a massive client’s database, in that case you should try using ping post lead technology for your business management.
What is Big Data at SAP?
Overview: Big Data refers to the challenges of capturing, managing, and analyzing large volumes of various types of data with great velocity. Big Data presents a big opportunity for you to gain greater business value. From
major league sports and personalized shopping to carbon reduction and cancer treatment, organizations are leveraging Big Data to re-imagine what is possible.
Grab the Big Data opportunity with:
• SAP HANA platform – accelerate your ability to
acquire, analyze, and act on Big Data
• Analytic tools and applications – drive Big Data
insights directly into your business operations and
equip people to make data-driven decisions
• Data science services – uncover new signals to
discover new business opportunities
With an end-to-end offering from SAP, you can make
your Big Data project run in real-time, delivering real
results.
Dickinson + Associates hosted an ASUG Affiliate Webinar entitled "Getting Started with BI Analytics on HANA." Rob Jerome and Tim Korba presented alongside John Zwack, Senior Channel Development Director at SAP.
This webinar introduced attendees to the power of SAP BI Analytics on SAP HANA. A few things you can take away from the webinar slides:
• Overview of the HANA Enterprise architecture
• Integration touch points with SAP systems
• Direct integration with the BI 4.0 suite of analytical solutions
• Introduction to development concepts of HANA Studio, focusing on schemas, analytical and calculation views
MEBIS 2017: Next Generation Banking AnalyticsMDS ap
Today's digital empowered customers are challenging the business world. They become increasing savvy in their search for the best offers; their expectations continue to rise; their choices are growing too. Effectively customers engagement based on Real-Time Insight is the new imperative for all banks today.
In this presentation, MDS ap demonstrates how the next generation marketing technology leverages real-time customer context to deliver the optimum customer experience.
Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytic...agileDSS
Les bénéfices de l’analyse prédictive sont trop souvent sous-utilisés dans les entreprises.Que ce soit par un manque d’expertise à l’interne ou, par une lourdeur du processus de mise à disposition des modèles statistiques, cette réalité limite l’utilisation de l’analyse prédictive au sein de l’entreprise.
SAP Predictive Analytics 2.0, démultiplie les possibilités d’utiliser l’analyse prédictive dans vos processus d’affaires. Sans forcément avoir de connaissance en statistique, les lignes d’affaires pourront avoir accès à la puissance d’un outil d’analyse prédictive complet dans leurs travaux au quotidien.
De plus, cet outil permet même de satisfaire les statisticiens les plus chevronnés grâce à un tout nouveau mode ‘’expert’’ inclus dans la version 2.0
Bruno Delahaye, VP Analyse Prédictive chez SAP, vous illustrera les capacités de l’outil à travers des cas clients comme ceux de Walmart, Rogers, RBC, Equifax et HMV.
Pourquoi participer?
- Voyez, avec l'aide de démonstrations, comment vous pouvez optimiser vos processus d’affaires, et apporter de meilleurs résultats d’affaires en toute confiance avec des analyses prédictives.
- Découvrez comment plusieurs entreprises de diverses industries comme Sears, Walmart, Rogers, RBC, Equifax et HMV utilisent actuellement la puissance, la rapidité et la facilité d'utilisation de SAP Predictive Analytics.
- Informez-vous sur comment cet outil peut réduire drastiquement le temps pour déployer des solutions prédictives en automatisant la construction de modèles prédictifs.
Today we are beyond the point where big data is in the prototype stage. We are entering an era where automation, integration and end-to-end solutions need to be built rapidly to facilitate disruption. Companies need to architect a
platform for Big Data (and traditional data) analytics
SAP Inside Track Walldorf 2018 - Demistify SAP Leonardo Machine Learning Foun...Abdelhalim DADOUCHE
During this session, my goal is to introduce the SAP Leonardo Innovation system, and then focus on the building blocks available under the SAP Leonardo Machine Learning umbrella.
This session included a series of live demo
The Customer Revolution or Evolution? Presented @ CRM EvolutionSAP
Is it a Revolution or Evolution? That's up for debate. But IT IS the Age of the Digitally Empowered Customers --who are Digitally Connected, Socially Networked, and Better Informed than ever before. Therefore, the customer journey no longer linear dictated by organizations. Rather EVERY JOURNEY of the empowered customers are UNIQUE, and EVERY POINT OF ENGAGEMENT ALONG THE WAY matters.
It’s time to change the game and Engage Customers Like Never Before. Across every touch-point, every channel – spanning the physical and the digital domains. Guide the journey and develop advocates. Are you ready?
#askSAP Analytics Innovations Community Call: Delivering the Intelligent Ente...SAP Analytics
www.sap.com/asksap - Digitization is turning every company into a software-driven organization that intelligently connects people, things, and businesses together. At the center of digitization is massive data that can be harnessed into unprecedented insights.
Learn more about SAP’s Machine Learning strategy, and portfolio of machine learning driven applications and intelligent services.
Static Nature of Ticketing In Sports For Nearly a CenturyJitender Aswani
The insane pace of innovation we have seen in the last century has not really affected the ticketing in sports. Ninety years ago, sports fans entered the stadium with a paper ticket and this experience has continued till date. Ticketing needs disruption. Fans are more mobile than ever, more social than ever and more fickle than ever.
The Disney Experience - Every Customer's "I Wish"Jitender Aswani
When it comes to delivering the best experience to consumes, consumer-facing-businesses generally lookup to few companies for standards. Apple, Amazon, Netflix, FourSeasons, LinkedIn are some of the examples. Disney experience is apparently the gold standard. Disney spent $1B to raise the bar and to stay relevant in a world where technology has become uber pervasive.
Business Analytics is all about - analyzing data, discovering insights and influencing change. Provide answers to Ws: What Happened, When it Happened, Where is happened, Why it Happened? help decisions and drive change. Analytics has been with us for centuries and played a critical role all along. In today's big & complex industrial world, analytics has continued to play a critical role but sadly the current state of the business analytics approach is broken. For the last 25 years, the software technology and tools in the analytics category has produced "slice and dice ninjas" who interact with data but mostly without the right context. This approach produces insights and visualization that can not be understood very well. These solutions are complex, cost-prohibitive, slow and most often fail to deliver to the promises . Visual Analytics came to forefront to address the challenge of traditional business analytics.
Visual Analytics is defined as "analytical reasoning aided by visual interfaces". The primary premise for this approach is that "visualization is not an afterthought". This industry has risen very fast in the past few years. In this presentation, I discuss the issues faced by this nascent offshoot of Business Analytics and what does future hold for this category.
Mobile Analytics (Mobile BI) - A Game Changer Jitender Aswani
Big Data - According to IDC, data is doubling every two years and is expected to reach 1.8 ZB (a trillion GB) in 2011.
Eight mobility related mega trends are locked in a virtuous cycle and will be the bedrock for growth and adoption of Mobile BI solutions and for the overall Enterprise Mobility.
According to Gartner, more than 33% of Analytics will be consumed using mobile devices, a prediction well supported by the 8 mobility related mega trends discussed here.
Mobile BI market could grow at 20% plus CAGR over the next 5 years and could likely become over a $2 billion market by 2015.
Therefore, by 2015 more than 15% of Analytics revenues could come from Mobile Analytics solutions. This should be a serious strategic priority for every Analytics vendor if not already.
Geo-location and spatial intelligence is the strategic turning point for analytics. Location has become an essential part of the enterprise data and increasing number of enterprises have geo-coded their location data to build location-aware application to drive location-aware decisions. For example, by overlaying the foreclosure data, income data, and the data from its mortgage portfolio on a geo-chart, a regional mortgage bank assesses the risk of its mortgage portfolio and decides to take corrective actions. A fast food company uses the demographics data, the latest census data, and the historical sales of its stores to determine the location of its new restaurant. In this interactive session, the presenter will discuss the current state of location analytics showcasing demos using SAP BusinessObject Explorer and SAP BusinessObjects Dashboard technologies as well as discuss the future of location analytics.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Neuro-symbolic is not enough, we need neuro-*semantic*
SAP HANA Big Customer Intelligence Concept App
1. SAP HANA Big Customer App Introduction
Big Data Apps Group, SAP
2. volume, velocity, variety and veracity of your data
has become untamable…
wait, yet another big data presentation? No, not
really…
3. … but no one is helping you understand big data
opportunities
everyone is talking about big data problems…
4. … because growing customer base, customer
satisfaction and loyalty is everyone’s business
let’s define a big data opportunity in the context of
customers…
5. … your customers are more mobile and social than
ever before
you have a large and diverse customer base…
6. which is why you like to engage with your
customers where ever they are: web, mobile, social
and collect all data (call center records, social
media) to understand your customers better
7. you would want to group (cluster) your customers
to understand their likes and dislikes…
… so that you can offer (recommend) the right
product at the right time and at the right price
8. so that you can forecast sales accurately and cut
cost to improve your revenues and profitability…
…and stop customer backlash and prevent them
for leaving (churn) to competitors
9. you wish to do all of this without hiring an army of
data analysts, consultants and data scientists…
… and without buying half-dozen or more tools,
access to public / social data and integrating it all
12. let SAP HANA Big Customer App help you uncover
new customer opportunities by using big data…
13. Big Customer App has been designed from
ground-up to address big data opportunities…
… it puts simplicity, speed and power of HANA
technology at your fingertips
14. Big Customer intelligently blends private data with
public data to generate more actionable insights…
… and provides both historical and predictive
analytics to help you run your business better