How the Game is Changing: Big Data in RetailBill Bishop
At Brick Meets Click, we've been tracking retailing professionals' experiences and attitudes toward big data for two years now, and more than 100 professionals participated in the Oct. 2013 survey. The results confirm the increasingly important role big data is playing in "changing the game" of retailing.
Cheap data storage and high-performance analytics are going to change the face of retail sector. And big data is going to play pivotal role in this technological revolution. You can find other reports related to Big data at http://www.marketresearchreports.com/big-data
I volunteered my time to share about big data to those looking to understand the space.
This was for Networking with Grace, a group that is focused on helping those get back to work. I put this presentation together to help people learn about big data and how to transition their skill sets to the space.
Big Data in Industry
Many believe that Big Data is a new asset which will help companies catapult others to become the best in class.
What is it about Big Data that is so appealing across industries? Simply, data is intertwined into every sector and function in the global economy and much of modern economic activity would not be able to take place without data.
Big Data relates to large meres of data which can be brought together and then analyzed to inform decision making and discern patterns. The insights which Big Data brings, will become the basis of competition and growth for companies worldwide through further enhancing productivity as well as generating significant value for the global economy by increasing the quality of goods and services.
Previous trends in IT investment and innovation such as cloud adoption and the impact of this on competitiveness and productivity can be mirrored by Big Data which serves as a crucial way for large companies to outperform their competition. Across industries, time-honored competitors and new entrants to the market will use data-driven strategies to compete, innovate and seize value. The knowledge that big data brings informs the creation of new services and the design of future products. In fact, some companies are using Big Data to conduct controlled experiments to inform better management decisions.
http://www.extentia.com/service/big-data
www.extentia.com/contact-us
INTRODUCTION:
A lot of people are under the impression that great marketing is an art, but of late, big data has introduced a scientific element to marketing campaigns.
Smart marketers are now relying on data more than ever to inform, test, and devise their strategies.
And though data and analytics will never replace the creative minds behind the best marketing campaigns,
it can definitely provide the marketers with the tools to help perform better.
Consumers have 24 hour access to abundant product information which has revolutionized the retail sector.
With digital technology becoming ubiquitous, shoppers can make informed decisions using online data and content
to discover, compare, and buy products from anywhere and at any time.
For brands and retailers, information is also a game-changer. Retail data analytics has the ability to help companies
stay at par with the shopping trends by applying customer analytics to uncover, interpret, and act on meaningful data insights.
PROBLEM #1: Siloed, Static Customer Views
Many retailers still struggle with siloed data – transaction data lives apart from web logs
which in turn is separate from CRM data, etc.
PROBLEM #2: Time Consuming Vendor & Supply Chain Management
Supply chains are already driven by numbers and analytics,
but retailers have been slow to embrace the power of realtime analytics
and harnessing huge, unstructured data sets.
PROBLEM #3: Analysis Based on Historical Data
Looking back at shoppers’ past activity often isn’t a good indication of what they will do next.
Instead, real-time prediction based of current trends and behaviors from all sources of data is the key.
Prediction and Machine Learning in Real Time.
PROBLEM #4: Efficiency
Although the majority of retailers consider operational efficiencies to be of the utmost importance,
less than a third are able to figure out how to achieve them.
While “67% of retailers consider overall business operations efficiency to be of high or critical importance,
only 27% consider themselves able to manage this well,
Targeting the Moment of Truth - Using Big Data in RetailAmit Kapoor
Presentation on the business challenges of using Big Data in Retail with a bit of storytelling on why this is not new! @The Fifth Elephant conference in Bangalore on 28 July 2012
See the notes for more talking points.
How the Game is Changing: Big Data in RetailBill Bishop
At Brick Meets Click, we've been tracking retailing professionals' experiences and attitudes toward big data for two years now, and more than 100 professionals participated in the Oct. 2013 survey. The results confirm the increasingly important role big data is playing in "changing the game" of retailing.
Cheap data storage and high-performance analytics are going to change the face of retail sector. And big data is going to play pivotal role in this technological revolution. You can find other reports related to Big data at http://www.marketresearchreports.com/big-data
I volunteered my time to share about big data to those looking to understand the space.
This was for Networking with Grace, a group that is focused on helping those get back to work. I put this presentation together to help people learn about big data and how to transition their skill sets to the space.
Big Data in Industry
Many believe that Big Data is a new asset which will help companies catapult others to become the best in class.
What is it about Big Data that is so appealing across industries? Simply, data is intertwined into every sector and function in the global economy and much of modern economic activity would not be able to take place without data.
Big Data relates to large meres of data which can be brought together and then analyzed to inform decision making and discern patterns. The insights which Big Data brings, will become the basis of competition and growth for companies worldwide through further enhancing productivity as well as generating significant value for the global economy by increasing the quality of goods and services.
Previous trends in IT investment and innovation such as cloud adoption and the impact of this on competitiveness and productivity can be mirrored by Big Data which serves as a crucial way for large companies to outperform their competition. Across industries, time-honored competitors and new entrants to the market will use data-driven strategies to compete, innovate and seize value. The knowledge that big data brings informs the creation of new services and the design of future products. In fact, some companies are using Big Data to conduct controlled experiments to inform better management decisions.
http://www.extentia.com/service/big-data
www.extentia.com/contact-us
INTRODUCTION:
A lot of people are under the impression that great marketing is an art, but of late, big data has introduced a scientific element to marketing campaigns.
Smart marketers are now relying on data more than ever to inform, test, and devise their strategies.
And though data and analytics will never replace the creative minds behind the best marketing campaigns,
it can definitely provide the marketers with the tools to help perform better.
Consumers have 24 hour access to abundant product information which has revolutionized the retail sector.
With digital technology becoming ubiquitous, shoppers can make informed decisions using online data and content
to discover, compare, and buy products from anywhere and at any time.
For brands and retailers, information is also a game-changer. Retail data analytics has the ability to help companies
stay at par with the shopping trends by applying customer analytics to uncover, interpret, and act on meaningful data insights.
PROBLEM #1: Siloed, Static Customer Views
Many retailers still struggle with siloed data – transaction data lives apart from web logs
which in turn is separate from CRM data, etc.
PROBLEM #2: Time Consuming Vendor & Supply Chain Management
Supply chains are already driven by numbers and analytics,
but retailers have been slow to embrace the power of realtime analytics
and harnessing huge, unstructured data sets.
PROBLEM #3: Analysis Based on Historical Data
Looking back at shoppers’ past activity often isn’t a good indication of what they will do next.
Instead, real-time prediction based of current trends and behaviors from all sources of data is the key.
Prediction and Machine Learning in Real Time.
PROBLEM #4: Efficiency
Although the majority of retailers consider operational efficiencies to be of the utmost importance,
less than a third are able to figure out how to achieve them.
While “67% of retailers consider overall business operations efficiency to be of high or critical importance,
only 27% consider themselves able to manage this well,
Targeting the Moment of Truth - Using Big Data in RetailAmit Kapoor
Presentation on the business challenges of using Big Data in Retail with a bit of storytelling on why this is not new! @The Fifth Elephant conference in Bangalore on 28 July 2012
See the notes for more talking points.
Big Data in Retail - Examples in ActionDavid Pittman
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
TechConnectr's Big Data Connection. Digital Marketing KPIs, Targeting, Analy...Bob Samuels
This presentation was given at the Deep Dive Conference in November. 2013.
Big Data Applications... example, digital marketing, and targeting and optimization...
Feedback, and additional perspectives, is appreciated.
Thank you,
Bobby Samuels
TechConnectr.com
Big data & analytics for banking new york lars hambergLars Hamberg
BIG DATA & ANALYTICS FOR BANKING SUMMIT, New York, 1 Dec 2015.
Keynote address: "How Predictive Analytics will change the Financial Services Sector”
Speaker : Lars Hamberg
http://www.specialistspeakers.com/?p=8367
Overview & Outlook: Why Big Data will over-deliver on its hype and transform Financial Services; Use cases with Advanced Analytics and Big Data Analytics in Financial Services, in Production & Distribution of banking products; new opportunities for incumbents in tomorrow’s ecosystem; big data, bigdata, analytics, smart data, data analytics, digitization, digitalization, predictive analytics, sentiment analysis, financial services, banking, asset management, distribution, retail, trading, technology, innovation, fintech, wealth, asset management, investment industry, robo advisory, social investing, behavior, profiling, client segmentation, alias matching, semantic memory models, unstructured data, machine learning, pattern recognition
SAS - Hortonworks: Creating the Omnichannel Experience in Retail webinar marc...Hortonworks
Only 23% of businesses can integrate customer insights in real-time. Learn how to change that. Join us to hear from industry experts on how to transform your organization’s data into the best omnichannel customer experience. Through this webinar, participants will hear how one retailer, with over 5 million customers and 750 brands, developed precise customer lifetime models using trusted data and delivered personalized promotions at scale. Through a single customer view and customer analytics, the retailer was able to quickly learn what changes needed to be made to improve the customer buying journey, and make those changes rapidly and effectively.
Presenters : Dan Mitchell, Director of Global Retail and CPG Practice at SAS, Eric Thorsen, VP Retail at Hortonworks
Market Research Reports, Inc. has announced the addition of “Big Data in Global Retail Market 2021” research report to their offering. See more at - http://mrr.cm/U6V
Slides from a Big Ideas Presentation at the NRF Big Show 2016 http://bit.ly/1RbJVCp
Sense and respond technology is the new necessity for agile, customer-centric retail. This session describes how retailers can use real-time sensor data and machine learning across channels to gain actionable insight and predictive analytics that help them connect and engage consumers at each stage of the shopping journey.
How Enterprises Can Incorporate Big Data And AnalyticsPromptCloud
The proliferation of mobile computing and social media has led to enterprises having to deal with large amounts of data of varying types. Here is how organizations can incorporate big data to reap its benefits.
Jaarlijks worden er nieuwe hypes gepresenteerd als de Nieuwe Heilige Graal voor retail. Zo ging het ook met big data. Maar big data is de hype voorbij en te belangrijk geworden om te negeren: het blijkt een waardevolle bron van klantkennis waar online spelers al van profiteren en waar veel traditionele retailers moeite mee hebben.
Even praktisch: wat is big data? En waar zit die kracht van big data en hoe zet je het in? Wat zijn goeie voorbeelden? Daar gaat deze presentatie over.
Big Data in Retail - Examples in ActionDavid Pittman
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
TechConnectr's Big Data Connection. Digital Marketing KPIs, Targeting, Analy...Bob Samuels
This presentation was given at the Deep Dive Conference in November. 2013.
Big Data Applications... example, digital marketing, and targeting and optimization...
Feedback, and additional perspectives, is appreciated.
Thank you,
Bobby Samuels
TechConnectr.com
Big data & analytics for banking new york lars hambergLars Hamberg
BIG DATA & ANALYTICS FOR BANKING SUMMIT, New York, 1 Dec 2015.
Keynote address: "How Predictive Analytics will change the Financial Services Sector”
Speaker : Lars Hamberg
http://www.specialistspeakers.com/?p=8367
Overview & Outlook: Why Big Data will over-deliver on its hype and transform Financial Services; Use cases with Advanced Analytics and Big Data Analytics in Financial Services, in Production & Distribution of banking products; new opportunities for incumbents in tomorrow’s ecosystem; big data, bigdata, analytics, smart data, data analytics, digitization, digitalization, predictive analytics, sentiment analysis, financial services, banking, asset management, distribution, retail, trading, technology, innovation, fintech, wealth, asset management, investment industry, robo advisory, social investing, behavior, profiling, client segmentation, alias matching, semantic memory models, unstructured data, machine learning, pattern recognition
SAS - Hortonworks: Creating the Omnichannel Experience in Retail webinar marc...Hortonworks
Only 23% of businesses can integrate customer insights in real-time. Learn how to change that. Join us to hear from industry experts on how to transform your organization’s data into the best omnichannel customer experience. Through this webinar, participants will hear how one retailer, with over 5 million customers and 750 brands, developed precise customer lifetime models using trusted data and delivered personalized promotions at scale. Through a single customer view and customer analytics, the retailer was able to quickly learn what changes needed to be made to improve the customer buying journey, and make those changes rapidly and effectively.
Presenters : Dan Mitchell, Director of Global Retail and CPG Practice at SAS, Eric Thorsen, VP Retail at Hortonworks
Market Research Reports, Inc. has announced the addition of “Big Data in Global Retail Market 2021” research report to their offering. See more at - http://mrr.cm/U6V
Slides from a Big Ideas Presentation at the NRF Big Show 2016 http://bit.ly/1RbJVCp
Sense and respond technology is the new necessity for agile, customer-centric retail. This session describes how retailers can use real-time sensor data and machine learning across channels to gain actionable insight and predictive analytics that help them connect and engage consumers at each stage of the shopping journey.
How Enterprises Can Incorporate Big Data And AnalyticsPromptCloud
The proliferation of mobile computing and social media has led to enterprises having to deal with large amounts of data of varying types. Here is how organizations can incorporate big data to reap its benefits.
Jaarlijks worden er nieuwe hypes gepresenteerd als de Nieuwe Heilige Graal voor retail. Zo ging het ook met big data. Maar big data is de hype voorbij en te belangrijk geworden om te negeren: het blijkt een waardevolle bron van klantkennis waar online spelers al van profiteren en waar veel traditionele retailers moeite mee hebben.
Even praktisch: wat is big data? En waar zit die kracht van big data en hoe zet je het in? Wat zijn goeie voorbeelden? Daar gaat deze presentatie over.
Omnichannel Customer Experience. Companies such as Amazon, Facebook, Google, Apple already know that the future of user experience is automated interface creation depending on customer needs.
Big Data in Retail - Examples in ActionIBM Analytics
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Big Data Analytics helps decision makers to identify the problem areas in various business practices, eliminating the risks and improving business productivity. An Infographic showing the practical benefits of Big Data in the Enterprise http://www.rishabhsoft.com/blog/big-data-analytics-advantages-infographic.
India is coming up well in terms of Technology Products and some companies are going global with it. This list shows some of the most successful Tech Products built in India, which has made significant mark in the World.
The list comprises of both B2B and B2C companies.
Disclosure: Simplify360 and Buzzom share same owners.
Big Data often has demographic and behavioral data, but little to no attitudinal information. This presentation describes the many challenges in using survey data to add attitudinal information.
Find out more https://goo.gl/qRg6IK
United States Retail Sales for August 2016 - Analysis and Commentary paul young cpa, cga
This presentation will discuss Retail Sales for United States for the period-ending August 31, 2016.
Consumer spending is a key driver of the economy as such the information needs to be review along with other areas like housing starts, manufacturing, GDP as well as other market information.
Lecture given at the University of Catania on December 2nd, 2014.
Start from Big Data definitions, continue with real life examples of successful Big Data Projects, go a little bit deeper with Sentiment Analysis, and conclude with a brief overview of Big Data tools and Big Data with Microsoft.
Summary:
1. What is Big Data? (includes the 5Vs of Big Data)
2. Big Data Examples (includes 6 Real Life Examples and comments on Privacy concerns)
3. How to Tackle a Big Data Problem (my 4 Universal Steps to follow)
4. Sentiment Analysis (what is sentiment analysis? Why do we care? A Technique and a plan)
5. Big Data tools (Hadoop, Hadoop Ecosystem, Hive, Pig, Sqoop, Oozie; Azure HDInsight, Excel Power Query, Power Pivot, Power View, Power Map)
Clear Direction on Using Big Data to Solve Retail ProblemsBill Bishop
It’s time to identify where retail analytics can deliver specific, practical benefits to the bottom line and strengthen competitive position. This new report cuts through the vastness of big data's potential and shows how the opportunities stack up based on the results of our recent survey.
Many businesses have undertaken big data projects, but for every successful project, there are dozens that have failed or stagnated. Seb Darrington explores the reasons why such projects hit obstacles, typical challenges, and how to overcome them along your own big data journey.
5 Big Data stats that will convince your bossRedPixie
Well here you go, 5 big data stats that will hopefully give you the ammunition to show its impact and how industry leading publications are viewing the subject.
The need, applications, challenges, new trends and
a consulting perspective
(Why is Big Data a strategic need for optimization of organizational processes especially in the business domains and what is the consultant’s role?)
With every transaction and activity, organizations churn out data. This process happens even in the case of idle operation. Hence, data needs to be effectively analyzed to manage all processes better. Data can be used to make sense of the current situation and predict outcomes. It also can be used to optimize business processes and operations. This is easier said than done as data is being produced at an unprecedented rate, huge volumes and a high degree of variety. For the outcome of the data analysis to be relevant, all the data sets must be factored in to the analysis and predictions. This is where big data analysis comes in with its sophisticated tools that are also now easy on the pocket if one prefers the open source.
The future of high potential marketing lead generation would be based on big data. Virtually every business vertical can benefit from big data initiatives. Even those without deep pockets can use the cloud model for business analytics/big data analysis.
Some challenges remain to be addressed to engender large scale adoption but the current benefits outweigh the concerns.
India has seen a massive growth in big data adoption and the trend will grow though it is generally amongst the bigger players. As quality of data improves and customer reluctance to being honest when they volunteer data reduces, the forecasts will become more accurate and Big Data will have come to its rightful place as a key enabler.
Big Data Update - MTI Future Tense 2014Hawyee Auyong
The Futures Group first wrote about the emerging phenomenon of Big Data in 2010 as it was about to enter the mainstream. It was envisaged that Big Data would create a demand for new skills (Google has identified statisticians as the “sexy job of the decade”) and generate new industries. This report updates on the industry value chain and business models for the data analytics industry, latest developments as well as the opportunities for Singapore.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Big Data is the lastest cashcow. Data Analytics has now a crucial role for industries. This article describes as to what is Big Data and Analytics and how a Chartered Accountant will be able to provide value in this field.
Is Your Company Braced Up for handling Big Datahimanshu13jun
Has your company recently launched new product or company is concerned with the poor sales figure or want to reach new prospects and also reduce the existing customers' attrition, then this thought evoking short hand guide is available for you to explore.
Data Mining: The Top 3 Things You Need to Know to Achieve Business Improvemen...Dr. Cedric Alford
While companies have been using various CRM and automation technologies for many years to capture and retain traditional business data, these existing technologies were not built to handle the massive explosion in data that is occurring today. The shift started nearly 10 years ago with expanding usage of the internet and the introduction of social media. But the pace has accelerated in the past five years following the introduction of smart phones and digital devices such as tablets and GPS devices. The continued rise in these technologies is creating a constant increase in complex data on a daily basis.
The result? Many companies don't know how to get value and insights from the massive amounts of data they have today. Worse yet, many more are uncertain how to leverage this data glut for business advantage tomorrow. In this white paper, we will explore three important things to know about big data and how companies can achieve major business benefits and improvements through effective data mining of their own big data.
Dr. Cedric Alford provides a roadmap for organizations seeking to understand how to make Big Data actionable.
La base para optimizar y potenciar la toma de decisiones en cualqueir empresa es la información. Pero no la información en bruto, sino aquella de la que podemos obtener valor tras su análisis.
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...Edgar Alejandro Villegas
Presentation slides of:
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing
20 Aug 2013 - Webcast - http://goo.gl/T74WAL
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
Impact of Data Analytics in Changing the Future of Business and Challenges Fa...IJSRP Journal
Data Analytics refers to a comprehensive approach that makes use of both Qualitative and Quantitative Information in order to draw valuable insights and arriving at conclusions based on the extensive usage of statistical tools accompanied by explanatory and predictive models running over the data. It tries to understand the behavior and dynamics of businesses thereby leading to improved productivity and enhancing business gains by helping with appropriate decision making. Considering the intensified disruption caused by recent revolution in the field of Data Analytics, this articles aims to cover the potential impacts that Data Analytics could have over the already existing businesses and how new entrants, especially across the emerging economies, could make the best use of Data Analytics in gaining an edge over their competitors. It also aims to deep dive into the challenges faced by businesses while adopting or moving to Data Analytics and how they can overcome those challenging barriers for a successful future. .
The Value of Signal (and the Cost of Noise): The New Economics of Meaning-MakingCognizant
It’s a new era in business, in which growth will be driven by finding meaning and insights in data. Recent research demonstrates what separates winners from losers and how to rise to the top as a "meaning maker."
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 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Big Data for the Retail Business I Swan Insights I Solvay Business School
1. Big Data in the Retail Business.
Laurent Kinet
CEO of Swan Insights
2. Who am I?
My goal in my
professional life has
always been to deliver
strategic value to my
customers through the
potential of new
technologies.
DIGITAL-IN
FU
AND ENTREPREUNEUR
SED
7. A couple of figures.
$600
buys you a disk drive that can
store all of the world’s music
7 billion
mobile phones in
use in 2012
40 billion
Source: McKinsey
pieces of content shared
on Facebook every month
8. A couple of figures.
12
10
8
Data Growth
6
IT Spending
4
2
0
2013 2014 2015 2016 2017 2018 2019
Source: McKinsey
20
9. A couple of figures.
Source: McKinsey
Big Data: The next frontier for
innovation, competition and
productivity
10. Meet the demand.
Data have swept
into every
industry and
business function
and are now an
important factor
of production.
Big Data creates
value in several ways.
Transparency.
Expose variability and
Improve performance.
There will be a
shortage of talent
necessary for
organizations to
take advantage
of Big Data.
Segment populations to
customize actions.
Supporting human
decision making with
automated algorithm.
Innovate new business
models and P&S.
Source: McKinsey
Big Data: The next frontier for innovation,
competition and productivity
11. Background observations on Big Data.
The first and most
beautiful data
visualization on
earth.
“The best statistical graphic ever drawn”, Edward Tufte.
17. Fact. We entered a data-driven society.
All decisions will soon be made
out of data.
WE SWITCH FROM “GUESS” TO “KNOW”.
We entered the age of information. Human
information is growing three times faster than
structured, corporate data. We can’t ignore
them both anymore.
However, tons of data
are still under-exploited.
Huge opportunities are
missed. Companies
need help to take the
most of external data,
delivering strategic
insights as the fuel for
decision-making and
targeted actions.
Today,
companies can’t ignore
those facts to ensure their
business sustainability and
competitiveness.
>
19. CM Tools are here
Analytics
Prediction
OUTSIDE
Social Web Data
Open Data
VIEW
Historical Social
Data Analysis
INSIDE
VIEW
Corporate Cockpits
Standard B.I.
PAST
Machine-learning
Algorithms
Corporate Data
Machine-learning
Algorithms
HOW DO WE DO THAT
FUTURE
20. How can we do that?
You need three things
MULTIPLE
DATA SOURCES.
POWERFUL
DATA ANALYSIS.
HUMAN
INTELLIGENCE.
HOW DO WE DO THAT
21. DATA SOURCES
WEB DATA
SOCIAL DATA
OPEN DATA
ACQUIRED DATA
YOUR DATA
BIG DATA ANALYSIS METHODS
MICRO
SEGMENTATION
CUSTOMER
INTELLIGENCE
PREDICTIVE
MODELING
PRESCRIPTIVE
ANALYSIS
BEHAVIORAL
OUTLOOK
WHAT-IF
SCENARIOS
SENTIMENT
ANALYSIS / NLP
DATA-DRIVEN OPERATIONS
DATA-DRIVEN
CAMPAIGNS
ACTIVATION
PROJECT
MANAGEMENT
INFORMATION
SYSTEMS LOOPBACK
SPECIFIC
ACTIONS
STRATEGIC
CONSULTING
22.
23.
24.
25. The DataGraph in 90 seconds.
See it online on swaninsights.com/video
26. The DataGraph in 90 seconds.
See it online on swaninsights.com/video
27. The DataGraph in action.
Data Sources
Extended
range of
data
sources
DataGraph
Proprietary DataGraph
Most advanced Data
Analysis Methods
Actions
Needs
Strategic Consultancy
Background &
Approach
Sectorial Knowledge
It delivers drastically better results than “mere” software.
28. The DataGraph in action.
Data Sources
WEB DATA
DataGraph
GOVERNEMENTS
UNIVERSITIES
INSTITUTIONS
OTHER DATA
DATA SUPPLIERS
PARTNERS
CORPORATE
DATA
CRM / ERP
INDUSTRIAL DATA
Needs
DATA-DRIVEN
CAMPAIGNS
DATAGRAPH
Insights
SOCIAL MEDIA
SEARCH ENGINES
GOOGLE TRENDS
BLOGS / FORUMS
OPEN DATA
Actions
STRATEGIC
CONSULTING
GRAPH
DATABASES
RELATION
DATABASES
INFO SYSTEMS
LOOPBACKS
DATA ANALYSIS
PROPRIETARY
ALGORITHMS
ADVANCED
ANALYSIS
METHODS
DECISIONMAKING
SPECIFIC
ACTIONS
From data sources to tangible results.
IDENTIFIED
NEED
29. Types of tangible benefits.
Data Products.
SAMPLES OF BENEFITS
YOU CAN DRAW FROM
THE DATAGRAPH.
Lead Generation.
Lead Ranking.
YOU CAN GET A LIST OF LEADS
THAT ARE MOST LIKELY TO
PURCHASE YOUR PRODUCT.
YOU CAN RANK YOUR LEADS
BASED ON THEIR PROPENSITY TO
CONVERT.
>
>
Client Segmentation.
Churn Prevention.
Sociography.
YOU CAN GET NEW,
UNSUSPECTED INFORMATION ON
YOUR CLIENT BASE.
YOU CAN GET A LIST OF CLIENTS
THAT ARE ABOUT TO LEAVE YOUR
COMPANY.
YOU CAN MAP AND DEFINE
GROUPS AGAINST ANY GIVEN
TOPIC.
>
>
>
30. Example 1: Simple Lead Ranking for Automotive.
Data Sources
WEB DATA
DataGraph
GOVERNEMENTS
UNIVERSITIES
INSTITUTIONS
OTHER DATA
DATA SUPPLIERS
PARTNERS
CORPORATE
DATA
Needs
DATA-DRIVEN
CAMPAIGNS
DATAGRAPH
Insights
SOCIAL MEDIA
SEARCH ENGINES
GOOGLE TRENDS
BLOGS / FORUMS
OPEN DATA
Actions
STRATEGIC
CONSULTING
GRAPH
DATABASES
RELATION
DATABASES
LEAD
RANKING
INFO SYSTEMS
LOOPBACKS
DATA ANALYSIS
PROPRIETARY
ALGORITHMS
DECISIONMAKING
ADVANCED
ANALYSIS
METHODS
SPECIFIC
ACTIONS
CRM / ERP
INDUSTRIAL DATA
LEAD RANKING
INCREASE
CONVERSION
RATE
31. Example 2: Advanced Lead Ranking for Automotive.
Data Sources
WEB DATA
DataGraph
GOVERNEMENTS
UNIVERSITIES
INSTITUTIONS
OTHER DATA
DATA SUPPLIERS
PARTNERS
CORPORATE
DATA
Needs
DATA-DRIVEN
CAMPAIGNS
DATAGRAPH
Insights
SOCIAL MEDIA
SEARCH ENGINES
GOOGLE TRENDS
BLOGS / FORUMS
OPEN DATA
Actions
STRATEGIC
CONSULTING
GRAPH
DATABASES
RELATION
DATABASES
LEAD
RANKING
INFO SYSTEMS
LOOPBACKS
DATA ANALYSIS
PROPRIETARY
ALGORITHMS
DECISIONMAKING
ADVANCED
ANALYSIS
METHODS
SPECIFIC
ACTIONS
CRM / ERP
INDUSTRIAL DATA
LEAD RANKING
INCREASE
CONVERSION
RATE
32. Example 3: Churn Prediction for Telco.
Data Sources
WEB DATA
DataGraph
GOVERNEMENTS
UNIVERSITIES
INSTITUTIONS
OTHER DATA
DATA SUPPLIERS
PARTNERS
CORPORATE
DATA
CRM / ERP
INDUSTRIAL DATA
Needs
DATA-DRIVEN
CAMPAIGNS
DATAGRAPH
Insights
SOCIAL MEDIA
SEARCH ENGINES
GOOGLE TRENDS
BLOGS / FORUMS
OPEN DATA
Actions
STRATEGIC
CONSULTING
GRAPH
DATABASES
RELATION
DATABASES
IDENTIFY
POTENTIAL
CHURNERS
INFO SYSTEMS
LOOPBACKS
DATA ANALYSIS
PROPRIETARY
ALGORITHMS
ADVANCED
ANALYSIS
METHODS
DECISIONMAKING
DECREASE
CHURN RATE
SPECIFIC
ACTIONS
CHURN PREDICTION
33. Example 4: 360 Client View for Retail.
Data Sources
WEB DATA
DataGraph
GOVERNEMENTS
UNIVERSITIES
INSTITUTIONS
OTHER DATA
DATA SUPPLIERS
PARTNERS
CORPORATE
DATA
CRM / ERP
INDUSTRIAL DATA
Needs
DATA-DRIVEN
CAMPAIGNS
DATAGRAPH
Insights
SOCIAL MEDIA
SEARCH ENGINES
GOOGLE TRENDS
BLOGS / FORUMS
OPEN DATA
Actions
STRATEGIC
CONSULTING
GRAPH
DATABASES
RELATION
DATABASES
KNOW
CUSTOMERS
360
INFO SYSTEMS
LOOPBACKS
DATA ANALYSIS
PROPRIETARY
ALGORITHMS
ADVANCED
ANALYSIS
METHODS
DECISIONMAKING
RECOMMENDATIONS
CROSS-SELL
SPECIFIC
ACTIONS
SEGMENTATION & CHARACTERIZATION
UP-SELL
34. Example 4: 360 Client View for Retail.
Data Sources
WEB DATA
TWITTER STREAM
GOOGLE TRENDS
DataGraph
1
2
LOYALTY CARD
PRODUCT GRAPH
A- People/Product
affinity
B- Cross-buying
MAPPING
SOCIAL GRAPH
A- Segmentation
B- Characterization
Lifestyle/Interests
Lifestage
Psychology traits
Professional info
OPEN DATA
SOCIODEMOGRAPHICS
& CARTOGRAPHY
CORPORATE
DATA
LOYALTY CARDS
CLIENTS / GOODS
Actions
3
INTEGRATION
180* VIEW
WHAT, WHEN, TO WHOM
4
MATCHING WITH SOCIO-DEMO/
CARTOGRAPHY
360* VIEW
WHAT, WHEN, TO WHOM AND WHERE
Needs
DIRECT
MARKETING
SUPPLY
CHAIN
PLANNING
KNOW
CUSTOMERS
360
CRM
ENRICHMENT
DECISIONMAKING
RECOMMENDATIONS
CROSS-SELL
SEGMENTATION & CHARACTERIZATION
UP-SELL
35. Potential of Big Data: examples.
Swan Insights’ internal work note (December 2013).
36. Potential of Big Data: 10 examples.
1. Increase the Average Basket Price
2. Increase the Customer Year Time
Value
3. Churn Detection
4. Increase the share-of-caddy
5. Segment most valuable customers
Data Graphization.
6. Purchase prediction
BY THE GRAPHIZATION OF YOUR
DATA, IT IS POSSIBLE TO DERIVE
AFFINITY LEVELS AND RUN
PREDICTIVE MODELS
7. Bundle-purchase identification
8. Smart Couponing
9. Anticipate cash desk congestion
>
10. Real-time pricing changes
37. Ethics & Privacy.
It is essential to comply strictly with
Privacy regulations and follow
a Code of Conduct.
Privacy
Commissions
Master
Contracts & NDA
Security Policies
& Delivery
One must declare the
activities to the
appropriate Privacy
Commissions.
Service Contracts and
NDA’s must foresee
privacy clauses and
confidentiality.
Infrastructure must be protected against
intrusion through the latest technologies,
and the delivery channels must be adapted
to corporate security policies. Master
Service Contracts always must include a
Security Appendix detailing all measures
taken to ensure data integrity.
39. Let’s keep in touch.
Laurent Kinet.
Swan on LinkedIn.
CEO Swan Insights sa/nv
Get our news and insights
about Big Data and Social
Web Analysis
laurent@swaninsights.com
>
company/swan-insights
>