The document discusses new rules and strategies for retailers in an evolving customer relationship landscape. It notes there are now 56 touchpoints between a customer's moment of inspiration and transaction. It then discusses components of digital transformation like customer experience management, cross-channel order orchestration, and building a single customer view. The document outlines how retailers can create customer connections and profiles by leveraging enterprise data. It also discusses the need for customer engagement in stores through technologies like self-scanning and mobile payments. Finally, it discusses how front-end store technologies can empower associates and optimize processes.
Importance of having a right Sourcing strategy is key to success for CXO. It has to be correct blend of partners both internal as well as external. The strategy can be arrived only if business goals are understood correctly. This deck shares an approach and ways to arrive at IT Sourcing Strategy.
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
Digital Transformation - another buzzword around the globe, is it? Well, it is a trend of course, but, all of trends has some reason behind them. So, what Digital Transformation stands for? What is transformed? How the transformation is done? Why do we need to transform something? This presentation focuses on answering these questions and understanding what stands behind the trend called Digital Transformation from user experience point of view.
Importance of having a right Sourcing strategy is key to success for CXO. It has to be correct blend of partners both internal as well as external. The strategy can be arrived only if business goals are understood correctly. This deck shares an approach and ways to arrive at IT Sourcing Strategy.
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
Digital Transformation - another buzzword around the globe, is it? Well, it is a trend of course, but, all of trends has some reason behind them. So, what Digital Transformation stands for? What is transformed? How the transformation is done? Why do we need to transform something? This presentation focuses on answering these questions and understanding what stands behind the trend called Digital Transformation from user experience point of view.
SAP S/4HANA Enterprise Management provides the lean digital core that serves as a foundation for business innovation and optimisation, enabling the enterprise to start the digital journey in line with its individual benefits/risk profile.
Driving Digital Transformation in Higher Education. 2020 EDUCAUSE Horizon Reporteraser Juan José Calderón
Driving Digital Transformation in Higher Education . 2020 EDUCAUSE Horizon Report™ | Teaching and Learning Edition. D. Christopher Brooks, EDUCAUSE
Mark McCormack, EDUCAUSE
June 2020
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape.
Consumer Packaged Goods (CPG) Industry - 5 Digital TransformationsNitin Jain
Discusses how digital technologies are transforming the Consumer Packaged Goods (CPG) industry landscape and its implications on the future of CPG companies.
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a collection of PowerPoint diagrams and templates used to convey 20 different digital transformation frameworks and models.
INCLUDED FRAMEWORKS/MODELS:
1. Ten Guiding Principles of Digital Transformation
2. The BCG Strategy Palette
3. Digital Value Chain Model
4. Four Levels of Digital Maturity
5. Customer Experience Matrix
6. Design Thinking Framework
7. Business Model Canvas
8. Customer Journey Map
9. OECD Digital Government Transformation Framework
10. Accenture's Nonstop Customer Experience Model
11. MIT's Digital Transformation Framework
12. McKinsey's Digital Transformation Framework
13. Capgemini's Digital Transformation Framework
14. DXC Technology's Digital Transformation Framework
15. Gartner's Digital Transformation Framework
16. Cognizant's Digital Transformation Framework
17. PwC's Digital Transformation Framework
18. Ionolgy's Digital Transformation Framework
19. Accenture's Digital Business Strategy Framework
20. Deloitte's Digital Industrial Transformation Framework
Accenture: Commercial analytics insights CPG Companies 27-7-12 Brian Crotty
A fully integrated analytics operating model can help consumer packaged goods (CPG) companies focus commercial analytics resources on high-value processes to grow market share and sustain profit margins.
Market and economic uncertainty is making it difficult for CPG companies to achieve sustainable growth. Value-driven consumers are more demanding than ever before, and retailers are increasingly pushing private labels and looking for ways to control the consumer relationship. Additionally, “big data” has left many marketing and sales organizations with an information overload, yielding little insight into how to win consumer loyalty. This uncertain environment requires CPG companies to make faster, better-informed commercial decisions and take concrete action to improve market performance.
In this point of view, Accenture outlines an approach that can help CPG companies improve their commercial analytics capability to generate significant value.
June 27, 2012
Breaking down an Industrial IoT reference architecture.pptxNeel Sendas
This talk at Hannover Messe shares the best practices of designing a large scale IIOT infrastructure using AWS services. It explore the pitfalls and common problems customers face when they plan to implement IoT Infrastructure and discovers the top IIoT golden rules to improve the design posture in the factory.
Webinar: Implementation of 10 Integration Patterns on iPaaS PlatformAPPSeCONNECT
We recently had a #Webinar on Integration Patterns for iPaaS Platform. The key points discussed over the webinar were:
1. Understanding the best practices that should be followed to correctly utilize an iPaaS platform.
2. Some of the best use cases of the iPaaS platform.
3. A walkthrough of APPSeCONNECT Integration Platform to feature the scenarios of an iPaaS platform.
#iPaaS #IntegrationPlatform
Integrate your business applications under one single platform: https://www.appseconnect.com/integrations/
A quick introduction to digital transformation. Covering Digital First, Lean, Agile, Leadership, it addresses the 3 core strands - People Change, Process Change and Technology Change. It presents a Systematic approach to Digital Transformation and the need for Governance and Leadership to realise the benefits. Observations include the share of the costs that lead to success, the risk profile of a transformation program and finally the hallmarks of a digital organization
Transform Procurement with the SAP S/4HANA Digital Core and SAP Ariba SolutionsSAP Ariba
Gain clear insight into how and why SAP S/4HANA and SAP Ariba solutions enable complete digitalization of the source-to-settle process for all spend categories and all payables collaboration. Transform your procurement process with integrated software for self-service procurement, supplier management, strategic sourcing, and supplier collaboration. Understand the standard seamless integration and process flows between SAP S/4HANA and SAP Ariba solutions, which enable real-time collaboration.
Great article by McKinsey in 2022
The pandemic has converted B2B buyers to e-commerce in a big way. B2B sellers need new capabilities to meet their new expectations.
A successful data governance capability requires a strategy to align regulatory drivers and technology enhancement initiatives with business needs and objectives, taking into account the organizational, technological and cultural changes that will need to take place.
New Dynamics 365 Implementation Guide - Available for downloadDynamics Square
Almost 700 pages of insights and guidance around strategy, initiation, implementation, preparation and operation, Contact us for Dynamics 365 Implementation: https://www.dynamicssquare.com.au/dynamics-365/
Digital Transformation - Rethink The Business in The Digital Age
Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers.
It's also a cultural change that requires organizations to continually challenge the status quo, experiment, and get comfortable with failure.
www.heruwijayanto.com
Netpage is an augmented reality mobile app which provides digital functionality for printed media. The application uses image recognition technology to recognize content on Netpage-enabled printed pages, and then serves up a "digital twin" of the recognized page.
SAP S/4HANA Enterprise Management provides the lean digital core that serves as a foundation for business innovation and optimisation, enabling the enterprise to start the digital journey in line with its individual benefits/risk profile.
Driving Digital Transformation in Higher Education. 2020 EDUCAUSE Horizon Reporteraser Juan José Calderón
Driving Digital Transformation in Higher Education . 2020 EDUCAUSE Horizon Report™ | Teaching and Learning Edition. D. Christopher Brooks, EDUCAUSE
Mark McCormack, EDUCAUSE
June 2020
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape.
Consumer Packaged Goods (CPG) Industry - 5 Digital TransformationsNitin Jain
Discusses how digital technologies are transforming the Consumer Packaged Goods (CPG) industry landscape and its implications on the future of CPG companies.
Profit and market value is migrating away from hardware, but few product companies are prepared and executing the required digital transformation. High tech companies need to invest in digital growth strategies, reinvigorate business models and create new revenue streams. Find out how to harness disruption to grow your business.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a collection of PowerPoint diagrams and templates used to convey 20 different digital transformation frameworks and models.
INCLUDED FRAMEWORKS/MODELS:
1. Ten Guiding Principles of Digital Transformation
2. The BCG Strategy Palette
3. Digital Value Chain Model
4. Four Levels of Digital Maturity
5. Customer Experience Matrix
6. Design Thinking Framework
7. Business Model Canvas
8. Customer Journey Map
9. OECD Digital Government Transformation Framework
10. Accenture's Nonstop Customer Experience Model
11. MIT's Digital Transformation Framework
12. McKinsey's Digital Transformation Framework
13. Capgemini's Digital Transformation Framework
14. DXC Technology's Digital Transformation Framework
15. Gartner's Digital Transformation Framework
16. Cognizant's Digital Transformation Framework
17. PwC's Digital Transformation Framework
18. Ionolgy's Digital Transformation Framework
19. Accenture's Digital Business Strategy Framework
20. Deloitte's Digital Industrial Transformation Framework
Accenture: Commercial analytics insights CPG Companies 27-7-12 Brian Crotty
A fully integrated analytics operating model can help consumer packaged goods (CPG) companies focus commercial analytics resources on high-value processes to grow market share and sustain profit margins.
Market and economic uncertainty is making it difficult for CPG companies to achieve sustainable growth. Value-driven consumers are more demanding than ever before, and retailers are increasingly pushing private labels and looking for ways to control the consumer relationship. Additionally, “big data” has left many marketing and sales organizations with an information overload, yielding little insight into how to win consumer loyalty. This uncertain environment requires CPG companies to make faster, better-informed commercial decisions and take concrete action to improve market performance.
In this point of view, Accenture outlines an approach that can help CPG companies improve their commercial analytics capability to generate significant value.
June 27, 2012
Breaking down an Industrial IoT reference architecture.pptxNeel Sendas
This talk at Hannover Messe shares the best practices of designing a large scale IIOT infrastructure using AWS services. It explore the pitfalls and common problems customers face when they plan to implement IoT Infrastructure and discovers the top IIoT golden rules to improve the design posture in the factory.
Webinar: Implementation of 10 Integration Patterns on iPaaS PlatformAPPSeCONNECT
We recently had a #Webinar on Integration Patterns for iPaaS Platform. The key points discussed over the webinar were:
1. Understanding the best practices that should be followed to correctly utilize an iPaaS platform.
2. Some of the best use cases of the iPaaS platform.
3. A walkthrough of APPSeCONNECT Integration Platform to feature the scenarios of an iPaaS platform.
#iPaaS #IntegrationPlatform
Integrate your business applications under one single platform: https://www.appseconnect.com/integrations/
A quick introduction to digital transformation. Covering Digital First, Lean, Agile, Leadership, it addresses the 3 core strands - People Change, Process Change and Technology Change. It presents a Systematic approach to Digital Transformation and the need for Governance and Leadership to realise the benefits. Observations include the share of the costs that lead to success, the risk profile of a transformation program and finally the hallmarks of a digital organization
Transform Procurement with the SAP S/4HANA Digital Core and SAP Ariba SolutionsSAP Ariba
Gain clear insight into how and why SAP S/4HANA and SAP Ariba solutions enable complete digitalization of the source-to-settle process for all spend categories and all payables collaboration. Transform your procurement process with integrated software for self-service procurement, supplier management, strategic sourcing, and supplier collaboration. Understand the standard seamless integration and process flows between SAP S/4HANA and SAP Ariba solutions, which enable real-time collaboration.
Great article by McKinsey in 2022
The pandemic has converted B2B buyers to e-commerce in a big way. B2B sellers need new capabilities to meet their new expectations.
A successful data governance capability requires a strategy to align regulatory drivers and technology enhancement initiatives with business needs and objectives, taking into account the organizational, technological and cultural changes that will need to take place.
New Dynamics 365 Implementation Guide - Available for downloadDynamics Square
Almost 700 pages of insights and guidance around strategy, initiation, implementation, preparation and operation, Contact us for Dynamics 365 Implementation: https://www.dynamicssquare.com.au/dynamics-365/
Digital Transformation - Rethink The Business in The Digital Age
Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers.
It's also a cultural change that requires organizations to continually challenge the status quo, experiment, and get comfortable with failure.
www.heruwijayanto.com
Netpage is an augmented reality mobile app which provides digital functionality for printed media. The application uses image recognition technology to recognize content on Netpage-enabled printed pages, and then serves up a "digital twin" of the recognized page.
The Role of Desktop Analytics; Big Data and the Customer Service Revolution b...Tata Consultancy Services
OpenSpan provides desktop analytics and desktop automation software that improves the productivity of customer-facing and backoffice workers in order to deliver operational efficiency and cost savings, and to enhance the customer experience.
Managers need new measures for the new experiences they’re creating. Fortunately they can use social and unstructured data to measure the holistic customer experience performance over time, based on direct and unfiltered feedback from customers.
Get insights on the adoption of Artificial Intelligence in North America, Europe, Latin America and Asia Pacific across 13 industries and 13 business functions. http://on.tcs.com/Artificial-Intelligence
Hadoop and the Data Warehouse: Point/Counter PointInside Analysis
Robin Bloor and Teradata
Live Webcast on April 22, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=2e69345c0a6a4e5a8de6fc72652e3bc6
Can you replace the data warehouse with Hadoop? Is Hadoop an ideal ETL subsystem? And what is the real magic of Hadoop? Everyone is looking to capitalize on the insights that lie in the vast pools of big data. Generating the value of that data relies heavily on several factors, especially choosing the right solution for the right context. With so many options out there, how do organizations best integrate these new big data solutions with the existing data warehouse environment?
Register for this episode of The Briefing Room to hear veteran analyst Dr. Robin Bloor as he explains where Hadoop fits into the information ecosystem. He’ll be briefed by Dan Graham of Teradata, who will offer perspective on how Hadoop can play a critical role in the analytic architecture. Bloor and Graham will interactively discuss big data in the big picture of the data center and will also seek to dispel several common misconceptions about Hadoop.
Visit InsideAnlaysis.com for more information.
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
What's the origin of Big Data? What are the real life usage scenarios where Hadoop has been successfully adopted? How do you get started within your organizations?
Transform your DBMS to drive engagement innovation with Big DataAshnikbiz
Erik Baardse and Ajit Gadge from EDB Postgres presented on how to transform your DBMS in order to drive digital business. How Postgres enables you to support a wider range of workloads with your relational database which opens the Big Data doors. They also cover EnterpriseDB’s Strategy around Big Data which focuses on 3 areas and finally last but not the last how to find money in IT with Big Data and digital transformation
5 Things that Make Hadoop a Game Changer
Webinar by Elliott Cordo, Caserta Concepts
There is much hype and mystery surrounding Hadoop's role in analytic architecture. In this webinar, Elliott presented, in detail, the services and concepts that makes Hadoop a truly unique solution - a game changer for the enterprise. He talked about the real benefits of a distributed file system, the multi workload processing capabilities enabled by YARN, and the 3 other important things you need to know about Hadoop.
To access the recorded webinar, visit the event site: https://www.brighttalk.com/webcast/9061/131029
For more information the services and solutions that Caserta Concepts offers, please visit http://casertaconcepts.com/
Real Time Interactive Queries IN HADOOP: Big Data Warehousing MeetupCaserta
During the Big Data Warehousing Meetup, we discussed options for enabling real-time/interactive queries to support business intelligence type functionality on Hadoop. Also, Hortonworks provided a deep-dive demo of Stinger! You can access that slideshow here: http://www.slideshare.net/CasertaConcepts/stinger-initiative-hortonworks
If you would like more information, please don't hesitate to contact us at info@casertaconcepts.com. Or, visit our website at http://casertaconcepts.com/.
Hadoop and the Data Warehouse: When to Use Which DataWorks Summit
In recent years, Apache™ Hadoop® has emerged from humble beginnings to disrupt the traditional disciplines of information management. As with all technology innovation, hype is rampant, and data professionals are easily overwhelmed by diverse opinions and confusing messages.
Even seasoned practitioners sometimes miss the point, claiming for example that Hadoop replaces relational databases and is becoming the new data warehouse. It is easy to see where these claims originate since both Hadoop and Teradata® systems run in parallel, scale up to enormous data volumes and have shared-nothing architectures. At a conceptual level, it is easy to think they are interchangeable, but the differences overwhelm the similarities. This session will shed light on the differences and help architects, engineering executives, and data scientists identify when to deploy Hadoop and when it is best to use MPP relational database in a data warehouse, discovery platform, or other workload-specific applications.
Two of the most trusted experts in their fields, Steve Wooledge, VP of Product Marketing from Teradata and Jim Walker of Hortonworks will examine how big data technologies are being used today by practical big data practitioners.
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Hadoop in 2015: Keys to Achieving Operational Excellence for the Real-Time En...MapR Technologies
In this webinar, Carl W. Olofson, Research Vice President, Application Development and Deployment for IDC, and Dale Kim, Director of Industry Solutions for MapR, will provide an insightful outlook for Hadoop in 2015, and will outline why enterprises should consider using Hadoop as a "Decision Data Platform" and how it can function as a single platform for both online transaction processing (OLTP) and real-time analytics.
ADV Slides: Platforming Your Data for Success – Databases, Hadoop, Managed Ha...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here? In this webinar, we say no.
Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage like a kid in a candy store? We’ll discuss what platforms to use for what data. This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
Drop the herd mentality. In reality, there is no “one size fits all” right now. We need to make our platform decisions amidst this backdrop.
This webinar will distinguish these analytic deployment options and help you platform 2020 and beyond for success.
OPEN'17_4_Postgres: The Centerpiece for Modernising IT InfrastructuresKangaroot
Postgres is the leading open source database management system that is being developed by a very active community for more than 15 years. Gaby Schilders is Sales Engineer at EnterpriseDB, supplier of the EDB Postgres data platform.
Gaby Schilders, Sales Engineer at EnterpriseDB, will be explaining why companies take open source as the centerpiece for modernising their IT infrastructure, thus increasing their scalability and taking full advantage today's technologies offer them.
Engineering Machine Learning Data Pipelines Series: Streaming New Data as It ...Precisely
Tackling the challenge of designing a machine learning model and putting it into production is the key to getting value back – and the roadblock that stops many promising machine learning projects. After the data scientists have done their part, engineering robust production data pipelines has its own set of challenges. Syncsort software helps the data engineer every step of the way.
Building on the process of finding and matching duplicates to resolve entities, the next step is to set up a continuous streaming flow of data from data sources so that as the sources change, new data automatically gets pushed through the same transformation and cleansing data flow – into the arms of machine learning models.
Some of your sources may already be streaming, but the rest are sitting in transactional databases that change hundreds or thousands of times a day. The challenge is that you can’t affect performance of data sources that run key applications, so putting something like database triggers in place is not the best idea. Using Apache Kafka or similar technologies as the backbone to moving data around doesn’t solve the problem of needing to grab changes from the source pushing them into Kafka and consuming the data from Kafka to be processed. If something unexpected happens – like connectivity is lost on either the source or the target side, you don’t want to have to fix it or start over because the data is out of sync.
View this 15-minute webcast on-demand to learn how to tackle these challenges in large scale production implementations.
Conflict in the Cloud – Issues & Solutions for Big DataHalo BI
Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
Feature Store as a Data Foundation for Machine LearningProvectus
Looking to design and build a centralized, scalable Feature Store for your Data Science & Machine Learning teams to take advantage of? Come and learn from experts of Provectus and Amazon Web Services (AWS) how to!
Feature Store is a key component of the ML stack and data infrastructure, which enables feature engineering and management. By having a Feature Store, organizations can save massive amounts of resources, innovate faster, and drive ML processes at scale. In this webinar, you will learn how to build a Feature Store with a data mesh pattern and see how to achieve consistency between real-time and training features, to improve reproducibility with time-traveling for data.
Agenda
- Modern Data Lakes & Modern ML Infrastructure
- Existing and Emerging Architectural Shifts
- Feature Store: Overview and Reference Architecture
- AWS Perspective on Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data architects & analysts, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Gandhi Raketla, Senior Solutions Architect, AWS
- German Osin, Senior Solutions Architect, Provectus
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-feature-store-as-data-foundation-for-ml-nov-2020/
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
To what extent has cloud become a continual source of innovation for organizations? Have they significantly altered their cloud outlook in the face of economic pressures? In what ways are cloud and artificial intelligence coming together?
How crucial is cloud as a catalyst for innovation for organizations in North America? Are investments in line with business objectives? To what extent is cloud fueling artificial intelligence? Learn these answers and other findings in this brief.
How do organizations in Europe view their cloud investments? Are they realizing the true potential of cloud to drive innovation at scale? Learn these answers and other findings in this brief.
How are organizations in the United Kingdom & Ireland using cloud-enabled business models to innovate at scale? What is cloud’s role in sustainability? Learn these answers and other findings in this brief.
How are organizations in Asia-Pacific using cloud to drive business innovation? How are they balancing the rising demand for data-intensive technologies with overall business objectives? What’s driving the move to industry cloud? Find out in this brief.
The retail consumer survey helps retailers analyze how consumer behavior in the US is influenced and how they can develop a CX strategy that brings ROI.
The retail consumer survey helps retailers analyze how consumer behavior in the UK is influenced and how they can develop a CX strategy that brings ROI.
Read the report about leaders balancing innovation with optimization, developing business growth strategies, & looking for growth in a digital ecosystem.
TCS 2021 Global Financial Leadership Study - The Next Era in Financial Planni...Tata Consultancy Services
Read TCS’ study to know how global finance leaders are utilizing cloud-based systems & data analytics in finance to plug FP&A gaps & achieve sustainable growth.
Enterprises storing PII data on the cloud need to secure data at rest and in transit from intruders. A five-fold approach can help build guardrails for enterprise PII data.
Businesses are bound to see turbulent times & solid risk & crisis management plans are vital. Read how the leadership and stakeholders can sail through crisis.
Retailers faced new challenges due to COVID-19 & adopting critical digital technologies helped them be agile, survive & improve customer experience. Read more.
Read how the logistics industry can transform & overcome the supply chain management challenges, build sustainable supply chains, & improve CX in the new normal.
How the CFO Can be an Effective Partner to the CEO in Navigating the Pandemic...Tata Consultancy Services
The pandemic has accelerated digital finance transformation & automation. Read how CFO’s role in digital transformation can help in navigating economic storm
A new CMO role: leveraging an organization’s purpose for strategic advantageTata Consultancy Services
Sales & marketing has seen a digital transformation & solving customer issues has become vital. These shifts will now reshape the jobs of CMOs, CEOs, & CFOs.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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.
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.
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
4. Customer Relationships are
Multi – Dimensional and Non Linear
View
Product
banner
ad
Search
product
details
online
Ask friends
on Face
Book for
opinion
View product
reviews by
experts on
You Tube
Read
blog on
product
Search
for
product
SHOP ON
WEBSITE /
MOBILE /
STORE
Track
order
status on
mobile
Like You
on Face
Book
Download
the mobile
app
Share
posts on
your Face
Book page
Visit Store
for product
demo
Compare
prices with
competitors
Write
reviews
about
product
Follow
the
Twitter
page
….56 touch points between moment of inspiration and moment of transaction
6. Anatomy of Digital Transformation
User Experience
Multi-Option Fulfillment
Cross Channel Loyalty
Single View of Customer
Mobility
Multichannel Foundation
On Demand
Service (search,
inventory)
Deep
Personalization
Time to Market
Components
Customer Experience Management as
a capability to achieve seamless and
intuitive shopping experience
Cross Channel Order Orchestration to
facilitate profitable cross channel
fulfillment supported by real-time Omni-
channel analytics
Faster Time to Market through frequent
updates/ release of functionalities
enabling fresh digital experience
Foundation of Customer knowledge base
to drive deep personalization and
targeting
7. Creating the customer “connections”
Creating a single view
Core
Attributes
Extended
Attributes
Transactions Interactions
Customer
information
management
In store behavior
Social Media
Data
Online Behavior
8.
Leverage Enterprise-wide data to create 3600
customer profiles
Deploy Personalization as a differentiator –
Moving away from black box techniques
Business goal driven – data driven “Plan” &
“Execute”
Orchestrate personalization across touch-points
Personalization for Customer Engagement
9. Customer engagement in the store
Self Scanning
Identification of customer
Self Help mobile App
Customer shopping
enablement ( Aug Reality)
Mobile Payment
Associate Empowerment
Associate
Customer
Center of cross channel orchestrations …Process Optimization
New Processes. Old Systems
Keeping Stores relevant…
Simplify…Standardize…Synergize
Labor Productivity (receiving, cashiering,
RDQ….)
Inventory Optimization
Space Productivity
Back office process optimization
10. Front end of tomorrow… empowered associates
Location based services
Mobile based customer engagement
Mobile Payment
Self Check Out, Faster Check Out
Associate mobility
Employee collaboration
Real time predictive alerts
Front end of
tomorrow
Empowered
Associates
1
Store
Technology for
agility
The New POS
Cloud
(Near) Real Time integration
Cost/ Process
Optimization
Energy Usage
Backroom Efficiency
Macro Space Optimization
11. …integrating customer into the merchandising process
..NOW ..NEXT
Lists, Basket, Trips
Consumer decision
trees
Demand
Substitution
Event, Sentiments
Weather Demand Based
Forecasting
Sentiment based
forecasting
Velocity based space and
inventory
Product Elasticity
Demographic based
assortment
Substitution, CDT based
space and Inventory
Basket Elasticity
Trips based assortment
18. 18
Legacy Rides The Elephant
Hadoop has
changed the
enterprise big
data game.
Are you
languishing in
the past or
adopting
outdated
trends?
19. 19
The Classic Enterprise Challenge
The
Challenge
Growing
Data
Volumes
Shortened
Processing
Windows
Escalating
Costs
Hitting
Scalability
Ceilings
Demanding
Business
Rqts
ETL
Complexity
Latency in
Data
Tight IT
Budgets
Constant pressure to lower costs, deliver faster, migrate to real time and answer more diff
questions for business..
• Copy & Use Source once and Re-use
• Linear Parallel Processing
• Proprietary Open Source
• Capital Cloud Expense
• Batch Real time
• Operating Costs Down
21. 21
Gbytes Tbytes 100's of Tbytes
Minutes
Hours
Days
Data Size
Seconds
Milliseconds
ComplexAnalyticalQuery
Hadoop
Database and high speed appliances
with parallel processing
Pbytes
Expensive
Inefficient
Cheaper price for
performance
Why Hadoop?
22. 22
Gbytes Tbytes 100's of Tbytes
Minutes
Hours
Days
Data Size
Seconds
Milliseconds
ComplexAnalyticalQuery
Hadoop
Database and high speed appliances
with parallel processing
Pbytes
Expensive
Inefficient
Cheaper price for
performance
Why Hadoop?
23. 23
Gbytes Tbytes 100's of Tbytes
Minutes
Hours
Days
Data Size
Seconds
Milliseconds
ComplexAnalyticalQuery
Hadoop
Database and high speed appliances
with parallel processing
Pbytes
Gets expensive and inefficient as the data size
grows. Will need investments in specialized
appliances and will not scale beyond a point
Databases are best used for fast response
needs on smaller datasets and for specific SQL
access
Expensive
Inefficient
Cheaper price for
performance
Why Hadoop?
24. 24
Gbytes Tbytes 100's of Tbytes
Minutes
Hours
Days
Data Size
Seconds
Milliseconds
ComplexAnalyticalQuery
Hadoop
Database and high speed appliances
with parallel processing
Pbytes
Gets expensive and inefficient as the data size
grows. Will need investments in specialized
appliances and will not scale beyond a point
Databases are best used for fast response
needs on smaller datasets and for specific SQL
access
Expensive
Inefficient
Cheaper price for
performance
Why Hadoop?
25. 25
Gbytes Tbytes 100's of Tbytes
Minutes
Hours
Days
Data Size
Seconds
Milliseconds
ComplexAnalyticalQuery
Hadoop
Database and high speed appliances
with parallel processing
Pbytes
Gets expensive and inefficient as the data size
grows. Will need investments in specialized
appliances and will not scale beyond a point
Databases are best used for fast response
needs on smaller datasets and for specific SQL
access
Hadoop is inefficient for small datasets but is designed
to handle big and complex data: Stays efficient as you
encounter Big Data and run complex workloads. Will
provide a lower price for performance
Expensive
Inefficient
Cheaper price for
performance
Why Hadoop?
26. 26
What Hadoop is Not?
Understanding Hadoop’s limitations will help you identify the right use cases:
•Hadoop is not a high-speed SQL database
•Hadoop is not a particularly simple technology
•Hadoop is not easy to connect to legacy systems. You can do it, but the
complexity needs to be considered.
•Hadoop is not a replacement for traditional data warehouses. It is an adjunctive
product to data warehouses.
•Normal DBAs will need to learn new skills before they can adopt Hadoop tools.
•The architecture around the data - the way you store data, the way you de-
normalize data, the way you ingest data, the way you extract data - is different in
Hadoop.
•Linux and Java skills are critical for making a Hadoop environment a reality.
27. 27
A super-powerful environment that can transform your understanding of data:
• Store vast amounts of data.
• Run queries on huge data sets.
• Transform traditional ETL
• Archive data on Hadoop and still analyze it
• Ingest data at incredible speeds and
analyze it and report on it in near real-time
• Hadoop massively reduces the latency of data
• Hadoop allows you to ask questions that were previously impossible to answer
Capabilities of Hadoop
29. 29
Where did we start?
• Issues with meeting production schedules
• Multiple copies of data, no single version of truth
• ETL complexity, cost of software and cost to manage
• Time taken to setup ETL data sources for projects
• Latency in data, up to weeks in some cases
• Enterprise Data Warehouses unable to handle load
• Mainframe workload over consuming capacity
• IT Budgets not growing BUT data volumes escalating
30. 30
The Sears Holdings Approach
Implement a
Hadoop-
centric
reference
architecture
Move
enterprise
batch
processing to
Hadoop
Make
Hadoop the
single point
of truth
Massively
reduce ETL
by
transforming
within
Hadoop
Move results
and
aggregates
back to
legacy
systems for
consumption
Retain, within
Hadoop,
source files
at the finest
granularity
for re-use
1 2 3 4 5 6
Key to our Approach:
1) allowing users to continue to use familiar consumption interfaces
2) providing inherent HA
3) enabling businesses to unlock previously unusable data
31. 31
The Journey
In 3 years, we are in a much different place..
•From Legacy (>1000 lines) to Ruby / MapReduce (400 lines)
• COBOL is cryptic, difficult to support, difficult to train PiG is simple, short
and easy to maintain
•We tried HIVE (~400 lines, SQL-like abstraction)
• Easy to Use, easy to experiment and test with
• Poor performance, difficult to implement business logic
•We evolved to PiG with Java UDF Extensions
• Compressed, very efficient, easy to code / read (~200 lines)
• Demonstrated success in transforming mainframe developers to PiG
developers in under 2 weeks
•As we progressed, our business partners requested more and more
data from the cluster –which required developer time
• We are now using Datameer as a business-user reporting and query front-
end to the cluster
32. 32
Re-Think..
• The way you capture data
• The way you store data
• The structure of your data
• The way you analyze data
• The costs of data storage
• The size of your data
• What you can analyze
• The speed of analysis
• The skills of your team
33. 33
Mainframe Migration
Batch Processing - JOB FLOW
JCL1 - APPLICATION 1
Mainframe Batch Processing Flow
User Interface Data Sources
Batch
Processing
External
Systems/
Datawarehouse
Input
Resultant Data Resultant Data
SORT Input SPLIT
Input
SORT
Input COBOL
Input FILTER
Input FORMAT
JCL2 - APPLICATION 1
JCL3 - APPLICATION 2
LOAD TO DATABASE
COPY Input COBOL Input FORMAT
Input
Input
34. 34
Mainframe Migration
Batch Processing - JOB FLOW
JCL1 - APPLICATION 1
Mainframe Batch Processing Flow
User Interface Data Sources
Batch
Processing
External
Systems/
Datawarehouse
Input
Resultant Data Resultant Data
SORT Input SPLIT
Input
SORT
Input COBOL
Input FILTER
Input FORMAT
JCL2 - APPLICATION 1
JCL3 - APPLICATION 2
LOAD TO DATABASE
COPY Input COBOL Input FORMAT
Input
Input
Commodity Hardware Based Software Framework
Batch Processing - JOB FLOW
Batch Process - APPLICATION 1
Batch Processing - JOB FLOW - Legacy Platform
Invention - Migration methodology for Legacy Applications to Commodity Hardware
User Interface Data Sources
External
Systems/
Datawarehouse
Batch
Processing
Input Resultant Data
PIG/MR Input PIG/MR
Input
PIG/MR
Input PIG/MR
Input PIG/MR
Input PIG/MR
JCL2 - APPLICATION 1
JCL3 - APPLICATION 2
LOAD TO DATABASE
COPY Input COBOL Input FORMAT
Input
Input
Resultant Data
Seamless migration of high MIPS processing jobs with no application alteration
36. 36
Enterprise Data Hub & ETL Replacement
Experience evolved to move into ETL Replacement and architecting Enterprise
Data Hub
• A major system effort in our Marketing department was heavily reliant on
traditional ETL
• As data volumes increased the system began to have performance issues as the ETL
platform degraded
• Re-work CPU-intensive portions in Hadoop
• Now run those workloads 20-50 times faster in Hadoop
• Run-times do not grow as data volumes grow
• Enterprise Data Hub
• Source Data once, Re-use multiple times
• ETL gives way to ELTTTTTT
38. 38
Current Focus
• ETL Complexity is no longer needed – Data Hub
• Source Once, Re-Use many times
• ETL changes to ELTTTTTTTTT
• Data Latency is the thing of the past
• Analysis is routinely possible within minutes of data creation
• Long Running Workload
• Can be eliminated and executed at any time
• Run times are a fraction of the original clock time
• Batch Processing on Mainframes or other conventional Batch
• Run 10, 50, even 100 times Faster
• Intelligent Archive
• Put your archives/ large data on Hadoop and make it intelligent
• Archive with the ability to run analytics or join it with other data
• Modernize Legacy
• Mainframe MIPS Reductions has very attractive ROI
• Move Data Warehouse workload – Reduce Cost – Go Faster
41. 41
Summary of Benefits
• Readily available resources &
commodity skills
• Access to latest technologies
• IT Operational Efficiencies
• Moved 7000 lines of COBOL
code to under 150 lines in PiG
• Ancient systems no longer
bottleneck for business
• Faster time to Market
• Mission critical “Item Master”
application in COBOL/JCL being
converted by our tool in Java
(JOBOL)
• Modernized COBOL, JCL, DB2,
VSAM, IMS & so on
• Reduced batch processing in
COBOL/JCL from over 6 hrs to
less than 10 min in PiG Latin on
Hadoop
• Simpler, and easily maintainable
code
• Massively Parallel Processing
• Significant reduction in ISV costs
& mainframe software licenses
fees
• Open Source platform
• Saved ~ $2MM annually within 13
weeks by MIPS Optimization
efforts
• Reduced 1500+ MIPS by moving
batch processing to Hadoop
Cost
Savings
Transform
I.T.
Skills &
Resources
Business
Agility
42. 42
The Learning
• Big Data is here and ready – Avoid the hype
• An Enterprise Data Architecture model is essential
• Hadoop can revolutionize Enterprise workload
• Can reduce strain on legacy platforms
• Can reduce cost
• Can bring new business opportunities
• The Solution must be an Eco-system
• Must be part of an overall enterprise data strategy
• Not to be underestimated
53. Nexus Impacts Differ Across Industries
Manufacturing
Government
Professional Services
Media
Retail
Manufacturing
Communications
Banking
Healthcare
Manufacturing
Wholesale Distribution
"Process
Value
Targets"
"Business
Model
Redesign"
"Business as
Usual"
"Technology
Platform
Refresh"
54. 54
Major Market Opportunity for Software
45.3%
41.5%
38.7%
36.8%
32.1%
29.2%
23.6%
17.0%
12.3%
5.7%
2.8%
Retiring legacy systems
Developing applications to satisfy
empowered consumers
Application integration
Managing big data
Optimizing stores as a major channel
Consumer smart devices in the
enterprise
Upgrading store-level bandwidth and
infrastructure
PCI compliance
Mobile security
Fighting intrusions and Web attacks
Fighting against inflation
Over the next 3 years what “pains’ will you devote significant resources to solving?
55. 55
Mobile POS Breaks into the Mainstream
50.0%
43.4%
42.5%
42.5%
41.5%
40.6%
40.6%
39.6%
39.6%
36.8%
Campaign analysis and forecasting
Forecasting and planning
Mobile POS
Predictive analytics
In-store pickup or returns of web goods
Multi-channel planning and forecasting
Campaign management
Allocation
Assortment planning
POS peripherals
Top 10 Technologies for 2013
56. 56
IT Spend Continues to Climb
IT Budgets as a Percent
of Total Revenue
Change in Year-Over-Year
IT Budget
11.3%
30.2%
10.4%
6.6%
1.9%
7.5%
Less than 1%
1% to< 2%
2% to < 3%
3% to < 4%
4% to l< 5%
5% or more
4.7%
3.8%
4.7%
28.3%
26.4%
16.0%
16.0%
Decrease 10% or
more
Decrease between
5% to < 10%
Decrease between
1% to < 5%
No change
Increase between
1% to < 5%
Increase between
5% to < 10%
Increase 10% or
more
57. 57
Has SaaS Finally Hit the Mainstream
56.6%
50.9%
38.7%
31.1%
35.8%
We seek best of breed software
We seek integrated solutions suites
We seek software-as-service models
We use in-house IT resources to
develop software
We use third party services to help
develop software
Your general point of view in how you want to acquire software going forward.
58. 58
Status of Organization's Customer Facing
Current Mobile Channel Development?
17.9%
44.3%
28.3%
9.4%
Not planning any activity
Planning under way
Pilots in progress
Fully functioning mobile commerce
strategy in place
59. 59
An Industry in Full Transformation Mode
13.2%
32.1%
35.8%
18.9%
Basic IT infrastructure and systems with
critical limitations
Mostly basic IT infrastructure and systems
but some advanced upgrades
Mostly advanced IT infrastructure and
systems but lack of comprehensive
integration
Advanced IT infrastructure and systems
with deep integration
14.2%
7.5%
28.3%
15.1%
7.5%
27.4%
We don't have an e-commerce platform
Platform needs up dating, but no plan to
upgrade
Currently upgrading platform now
Plan to upgrade within 12 months
Plan to upgrade within 24 months
Re-platformed within 2 years, no need to
upgrade
Maturity of IT Architecture
Status of E-Commerce Platform
60. 60
Has POS Hardware Commoditized?
39%
39%
6%
47%
8%
15%
4%
19%
17%
18%
14%
15%
6%
24%
6%
10%
20%
18%
28%
15%
14%
18%
5%
17%
11%
14%
18%
8%
5%
13%
14%
19%
POS peripherals
POS software
Mobile POS
POS terminals
(traditional, fixed)
Self checkout terminals
In-store pickup or returns
of web goods
Item level RFID
Returns management
Up-to-date tech in place Started but not finished major tech upgrade
Will start major tech upgrade in next 12 months Will start major tech upgrade in next 12-24 months
Status of In Store Technology
61. 61
Mobile POS Looks to be Additive
Yes, already
investing
29.2%
Yes,
planning to
invest during
2013
22.6%
No
35.8%
Don't know
12.3% Yes, plan to
decrease
fixed POS
25.5%
No plans to
decrease
fixed POS
63.6%
Don't know
10.9%
Does your organization plan to invest in mobile
point of sale (POS) in 2013
Does your organization plan to decrease the
number of fixed POS devices in stores during
2013 as a result of its mobile POS
investments?
62. 62
Digital Signage on the Rise
29%
25%
19%
19%
17%
10%
5%
3%
21%
14%
8%
16%
11%
13%
11%
6%
12%
8%
10%
11%
12%
9%
7%
3%
19%
16%
13%
19%
21%
14%
20%
14%
Frequent shopper or
loyalty program
Store level Loss prevention
Kiosks
Shopper tracking capability
Store level task management
Digital signage displays
NFC (Near Field
Communication) payments
Electronic shelf labels
Up-to-date tech in place Started but not finished major tech upgrade
Will start major tech upgrade in next 12 months Will start major tech upgrade in next 12-24 months
Status of In Store Technology
63. 63
Multichannel Key Even in Supply Chain
32%
24%
24%
22%
20%
16%
8%
2%
16%
13%
14%
13%
14%
16%
12%
7%
11%
8%
8%
10%
19%
18%
17%
8%
8%
18%
13%
11%
17%
22%
10%
9%
Warehouse management
systems
Distributed order management
systems
Transportation management
systems
Sourcing
Real time inventory visibility
(SCIV)
Multichannel fulfillment
Trade promotion management
Radio frequency identification
(RFID) Case/Pallet
Up-to-date tech in place Started but not finished major tech upgrade
Will start major tech upgrade in next 12 months Will start major tech upgrade in next 12-24 months
Status of Supply Chain Technology
64. 64
Optimization Finds its Ways to retail
37%
25%
22%
14%
13%
14%
15%
18%
14%
11%
16%
11%
Time and attendance
Labor scheduling and optimization
Task management
Up-to-date tech in place Started but not finished major tech upgrade
Will start major tech upgrade in next 12 months Will start major tech upgrade in next 12-24 months
27%
25%
23%
20%
5%
10%
13%
11%
13%
13%
21%
15%
18%
13%
15%
11%
14%
12%
12%
24%
Human Resources and benefits
Education and training
Recruitment and on boarding
Recruiting via social media (e.g.
Facebook, LinkedIn)
Mobile-enabled workforce and/or
HR applications
Up-to-date tech in place Started but not finished major tech upgrade
Will start major tech upgrade in next 12 months Will start major tech upgrade in next 12-24 months
Status of Workforce Mgmt. Technology
Status of Human Resources Technology
66. 66
BI/Analytics Continues to Show Strength
25%
21%
19%
10%
9%
21%
22%
16%
18%
18%
16%
15%
16%
25%
17%
13%
20%
17%
21%
26%
Market basket
analysis
Shopper Tracking
Margin optimization
Predictive analytics
Social media
analytics
Up-to-date tech in place Started but not finished major tech upgrade
Will start major tech upgrade in next 12 months Will start major tech upgrade in next 12-24 months
Status of BI/Analytics solutions
67. Recommendations
Be assured the rate of innovation in retail will
accelerate dramatically over the next 3 years
- Meaning your competitors are transforming their
businesses….what about you?
Understand your organizations (really senior
Mgt.s) readiness to absorb new technologies.
You are the change agent. Embrace the job!
Manifestation of TCS’ Thought Leadership in the Game of Retail
Customer Insightsby Naveen Krishna, VP-Online & Mobile Tech., Home Depot
Customer Insights by Aashish Chandra,Divisional VP, Application Modernization, Sears
With some new tools such as Storm, Cassandra and Mongo we can do truly real-time analysis. Those tools are starting to change the “batch mentality” in traditional companies from overnight processing to real-time processing.Allows you to ask questions and get answers that were impossible before - This is where the value from data can be derived, by using these tools to ask the previously impossible questions.Latency is the time from when the data is created and the time you can use it. With traditional ETL techniques it can take hours or even days between the time the data is created and the time you can use it. With modern big data tools we can bring latency to minutes and seconds, and transform the way you think about ETL.
Developer for Hadoop, runs efficiently, flexible spreadsheet interface with dashboards.