This presentation was delivered on invitation by UK Trade & Investment wing of British Deputy Commission at Chennai. This talks about how big data is currently being leveraged in India, future trends and areas of opportunity
Ramyam Intelligence Lab has been quoted in various segments in Indian Analytics Products ecosystem a report from NASSCOM (through Deloitte Analysis, Analyst reports and NASSCOM).
Enterprise Business Intelligence
Marketing Analytics
Customer Loyalty Management
Customer Life Cycle Management.
How to Create More Effective Storytelling by Leveraging DataCourse5i
Today, dashboards have become the epitome for communicating important business data and performance metrics. Instrumental in helping organizations achieve corporate alignment around business goals and objectives, they enable faster decision making, drive data-driven business strategies and ensure ROI.
Yet, the road to building dashboards for effective storytelling is not always easy. Often organizations struggle to create the right visual dashboards due to missing links between the data and story, or the amount of time and budget invested, which digress from the main objective of the visualization exercise. Additionally, the approach to storyboard development has been traditionally flawed with just a focus on the analysis – not telling a broader story. Then, even after organizations fine tune their dashboard and align with corporate objectives, they can still find themselves falling down in terms of adoption.
In this webinar, Anees Merchant, Senior Vice President of Blueocean Market Intelligence, will share with attendees how to develop a strong practice around data visualization and structure effective processes for success. Anees will also share various best practices and mistakes to avoid so organizations can produce powerful, actionable dashboards that are intuitive and include insights that are easily interpreted by all stakeholders.
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
This presentation was delivered on invitation by UK Trade & Investment wing of British Deputy Commission at Chennai. This talks about how big data is currently being leveraged in India, future trends and areas of opportunity
Ramyam Intelligence Lab has been quoted in various segments in Indian Analytics Products ecosystem a report from NASSCOM (through Deloitte Analysis, Analyst reports and NASSCOM).
Enterprise Business Intelligence
Marketing Analytics
Customer Loyalty Management
Customer Life Cycle Management.
How to Create More Effective Storytelling by Leveraging DataCourse5i
Today, dashboards have become the epitome for communicating important business data and performance metrics. Instrumental in helping organizations achieve corporate alignment around business goals and objectives, they enable faster decision making, drive data-driven business strategies and ensure ROI.
Yet, the road to building dashboards for effective storytelling is not always easy. Often organizations struggle to create the right visual dashboards due to missing links between the data and story, or the amount of time and budget invested, which digress from the main objective of the visualization exercise. Additionally, the approach to storyboard development has been traditionally flawed with just a focus on the analysis – not telling a broader story. Then, even after organizations fine tune their dashboard and align with corporate objectives, they can still find themselves falling down in terms of adoption.
In this webinar, Anees Merchant, Senior Vice President of Blueocean Market Intelligence, will share with attendees how to develop a strong practice around data visualization and structure effective processes for success. Anees will also share various best practices and mistakes to avoid so organizations can produce powerful, actionable dashboards that are intuitive and include insights that are easily interpreted by all stakeholders.
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
Analytics in banking preview deck - june 2013Everest Group
This report provides a comprehensive understanding of the analytics services industry with focus on banking domain. Analytics adoption in the banking industry is covered in depth, exploring various aspects such as market size, key drivers, recent analytics initiatives, and challenges. The report also analyses the trends in analytics deals for various banking subverticals (cards, retail, commercial, and lending) and evaluates analytics capabilities of 20+ service providers in the banking space
COVID-19 has increased the need for intelligent decisioning through AI, but ROI is not guaranteed. Here's how to accelerate AI outcomes, according to our recent study.
TechConnex Big Data Series - Big Data in BankingAndre Langevin
TechConnex is an industry forum for Canadian IT executives. This presentation from the fall of 2015 provides a survey of Hadoop adoption in the Canadian banking industry. Most adoption is driven by BCBS-239 implementation projects. The talk provides a broader risk systems perspective on Hadoop and discusses challenges and opportunities around the technology.
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
Wondering how to bring services to your clients in real time – and on their preferred device? Need to automate your financial supply chain, including risk and compliance functions, and move to a pay for performance model?
Learn about use cases from within the big data ecosystem, ranging from AML compliance, trade lifecycle, fraud detection and digital transformation, and introduce their risk data aggregation and compliance initiative. Find out how you can best leverage Open Enterprise Hadoop to achieve these goals.
Protect Your Revenue Streams: Big Data & Analytics in TaxCapgemini
The game has changed since the onset of the financial crisis. Governments aiming to reduce budget deficits can only deliver so much through spending cuts. It is now even more vital that tax agencies ensure individuals and businesses pay the tax they owe, and that welfare fraud and error are minimised. Pretty will explain how he helps tax and welfare agencies tackle noncompliance, evasion and error. He will share client stories where billions of euros were saved, generating a return of at least 25 times the original investment.
By Ian Pretty,
Vice President, Global Tax & Welfare Leader
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Big data is still relatively new and it is very exciting. The opportunities, if not necessarily endless, are are at least incredibly rich and varied. Aiming to bridge the link between Big Data as a Technology and Big Data as Business Value, we hope our presentation will help frame some of your thinking on how to use and benefit from this topical development.
Infosys commissioned an independent market research company, Vanson Bourne, to investigate the use of digital technologies and key trends in nine industries. We surveyed 1,000 senior decision makers from business and IT, from large organizations with 1,000 employees or more and annual revenue of at least US$500 million.
The report aims to discover:
a) the surging tide of digital technology adoption in organizations – what is used and where?
b) the promised land of digital technology use, and the hurdles organizations face to get there
c) the biggest disruptive digital trends within the next three years and why organizations see them as vital to future success
The summary here presents the survey results and highlights the digital outlook that will define the healthcare industry strategy over the next three years.
Big Data: Real-life examples of Business Value Generation with ClouderaCapgemini
Capgemini has helped multiple organizations to put Big Data to work and create value for their business and their clients.
This prsentation looks at real-world cases of how organizations are using, or planning to use, big data technology. It will look at the different ways in which the technology is being used in a business context.
Examples are drawn from Retail, Telco, Financial Services, Public Sector and Consumer goods.
It will look at a range of business scenarios from simple cost reduction through to new business models looking at how the business case has been built and what value has been realized.
It will also look at some of the practical challenges and approaches taken and specifically the application of Enterprise Data Hubs in collaboration with its prime partner Cloudera.
Written by Richard Brown, Global Programme Leader, Big Data & Analytics, Capgemini
Big Data LDN 2018: ACCELERATING YOUR ANALYTICS JOURNEY WITH REAL-TIME AIMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 14:30 - 15:00
Speaker: Michael O'Connell
Organisation: TIBCO
About: AI is right here, right now—and changing our lives. The ever-present need for business optimization, combined with a long history of applied statistics, explosive growth in available data and recent advances in cloud computing, has created a perfect storm of innovation. This presentation shows real-time AI in action, including real-world case studies in equipment surveillance, dynamic pricing, risk management, route optimization and customer engagement.
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. .
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?Capgemini
Analytics is seeing greater recognition amongst utility executives. Our research showed that 80% of utilities consider big data analytics as a source of new business opportunities and 75% see it as crucial for future success. Big Data indeed offers an exciting opportunity to transform utility operational effectiveness, while at the same time dealing with the historical problem of low customer satisfaction. Take operational efficiency alone. The annual cost of weather-related power outages to the U.S. economy is estimated to be between $18 billion to $33 billion. Organizations can use Big Data analytics to detect operational challenges and prevent outages, substantially reducing costs. Big Data also affords opportunities to utilities for inventing new business models through the data generated by the smart infrastructure.
The analytics opportunity for utilities is clear, but there continues to be a lack of real impetus and value delivery. Only 20% have already implemented big data analytics initiatives. What is putting the brakes on utilities?
In this paper, we highlight the big data opportunities that utilities can leverage and identify the challenges that are currently holding them back. We conclude the paper with concrete recommendations on how to ensure analytics drive business value.
Gaining competitive advantage through customer feedbackCourse5i
Organizations do not typically reveal their customer service or product issues, competitive advantage, road maps or future updates so willingly. However, we know that valuable insights into competitor activities can be obtained using user feedback. Product and service feedback sourced from customers, reviews on competitor websites, third-party and customer discussion forums can enable organizations to better understand sentiments and develop future strategies for their products and services.
Analytics in banking preview deck - june 2013Everest Group
This report provides a comprehensive understanding of the analytics services industry with focus on banking domain. Analytics adoption in the banking industry is covered in depth, exploring various aspects such as market size, key drivers, recent analytics initiatives, and challenges. The report also analyses the trends in analytics deals for various banking subverticals (cards, retail, commercial, and lending) and evaluates analytics capabilities of 20+ service providers in the banking space
COVID-19 has increased the need for intelligent decisioning through AI, but ROI is not guaranteed. Here's how to accelerate AI outcomes, according to our recent study.
TechConnex Big Data Series - Big Data in BankingAndre Langevin
TechConnex is an industry forum for Canadian IT executives. This presentation from the fall of 2015 provides a survey of Hadoop adoption in the Canadian banking industry. Most adoption is driven by BCBS-239 implementation projects. The talk provides a broader risk systems perspective on Hadoop and discusses challenges and opportunities around the technology.
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
Wondering how to bring services to your clients in real time – and on their preferred device? Need to automate your financial supply chain, including risk and compliance functions, and move to a pay for performance model?
Learn about use cases from within the big data ecosystem, ranging from AML compliance, trade lifecycle, fraud detection and digital transformation, and introduce their risk data aggregation and compliance initiative. Find out how you can best leverage Open Enterprise Hadoop to achieve these goals.
Protect Your Revenue Streams: Big Data & Analytics in TaxCapgemini
The game has changed since the onset of the financial crisis. Governments aiming to reduce budget deficits can only deliver so much through spending cuts. It is now even more vital that tax agencies ensure individuals and businesses pay the tax they owe, and that welfare fraud and error are minimised. Pretty will explain how he helps tax and welfare agencies tackle noncompliance, evasion and error. He will share client stories where billions of euros were saved, generating a return of at least 25 times the original investment.
By Ian Pretty,
Vice President, Global Tax & Welfare Leader
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Big data is still relatively new and it is very exciting. The opportunities, if not necessarily endless, are are at least incredibly rich and varied. Aiming to bridge the link between Big Data as a Technology and Big Data as Business Value, we hope our presentation will help frame some of your thinking on how to use and benefit from this topical development.
Infosys commissioned an independent market research company, Vanson Bourne, to investigate the use of digital technologies and key trends in nine industries. We surveyed 1,000 senior decision makers from business and IT, from large organizations with 1,000 employees or more and annual revenue of at least US$500 million.
The report aims to discover:
a) the surging tide of digital technology adoption in organizations – what is used and where?
b) the promised land of digital technology use, and the hurdles organizations face to get there
c) the biggest disruptive digital trends within the next three years and why organizations see them as vital to future success
The summary here presents the survey results and highlights the digital outlook that will define the healthcare industry strategy over the next three years.
Big Data: Real-life examples of Business Value Generation with ClouderaCapgemini
Capgemini has helped multiple organizations to put Big Data to work and create value for their business and their clients.
This prsentation looks at real-world cases of how organizations are using, or planning to use, big data technology. It will look at the different ways in which the technology is being used in a business context.
Examples are drawn from Retail, Telco, Financial Services, Public Sector and Consumer goods.
It will look at a range of business scenarios from simple cost reduction through to new business models looking at how the business case has been built and what value has been realized.
It will also look at some of the practical challenges and approaches taken and specifically the application of Enterprise Data Hubs in collaboration with its prime partner Cloudera.
Written by Richard Brown, Global Programme Leader, Big Data & Analytics, Capgemini
Big Data LDN 2018: ACCELERATING YOUR ANALYTICS JOURNEY WITH REAL-TIME AIMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 14:30 - 15:00
Speaker: Michael O'Connell
Organisation: TIBCO
About: AI is right here, right now—and changing our lives. The ever-present need for business optimization, combined with a long history of applied statistics, explosive growth in available data and recent advances in cloud computing, has created a perfect storm of innovation. This presentation shows real-time AI in action, including real-world case studies in equipment surveillance, dynamic pricing, risk management, route optimization and customer engagement.
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. .
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?Capgemini
Analytics is seeing greater recognition amongst utility executives. Our research showed that 80% of utilities consider big data analytics as a source of new business opportunities and 75% see it as crucial for future success. Big Data indeed offers an exciting opportunity to transform utility operational effectiveness, while at the same time dealing with the historical problem of low customer satisfaction. Take operational efficiency alone. The annual cost of weather-related power outages to the U.S. economy is estimated to be between $18 billion to $33 billion. Organizations can use Big Data analytics to detect operational challenges and prevent outages, substantially reducing costs. Big Data also affords opportunities to utilities for inventing new business models through the data generated by the smart infrastructure.
The analytics opportunity for utilities is clear, but there continues to be a lack of real impetus and value delivery. Only 20% have already implemented big data analytics initiatives. What is putting the brakes on utilities?
In this paper, we highlight the big data opportunities that utilities can leverage and identify the challenges that are currently holding them back. We conclude the paper with concrete recommendations on how to ensure analytics drive business value.
Gaining competitive advantage through customer feedbackCourse5i
Organizations do not typically reveal their customer service or product issues, competitive advantage, road maps or future updates so willingly. However, we know that valuable insights into competitor activities can be obtained using user feedback. Product and service feedback sourced from customers, reviews on competitor websites, third-party and customer discussion forums can enable organizations to better understand sentiments and develop future strategies for their products and services.
“Knowledge process outsourcing may be the next Boom Business”
The firmament of outsourcing is studded with the variety of bright and shining stars such as BPO, KPO, HRO, FPO, LPO, EPO etc. after the appearance of BPO; it is KPO which is assuming the popularity like Venus the brightest star. From the time immemorial knowledge has been considered as in all fields, be it spiritual, religious, learning, welfare, law, justice, administration or economic.
How to leverage hiring data for competitive insightsCourse5i
Most leading companies are not very outspoken about how they operate their business, or plan their strategies and future moves. However, a company’s hiring data can reveal valuable insights and allow you to read in-between the lines. When these insights are correlated with secondary source data, press releases or interviews, it can prove to be a formidable and factual representation of the competitor's focus and momentum in various areas, including new business/products, geographies, and verticals or industries.
This webinar is applicable and highly relevant to all industries that operate at an ultra-fast, dynamic pace and where there are frequent activities that disrupt the course or direction of the industry or market. Attendees will learn how to:
• Understand competitor moves and centers of focus using hiring data
• Leverage insights around new business/products, geographies, vertical/industries and more
• Analyze hiring data and various parameters to identify the strategic moves, investments and priorities
• Compare hiring data periodically and steadily track competitor tactics
Using Unstructured Text Data to Stay Ahead of Market Trends and Quantify Cust...Course5i
With the exponential growth of social media and new touchpoints, customers are interacting with brands and organizations at a much faster pace, generating volumes of unstructured data in the form of customer reviews, feedback, preferences, trends, etc. Other metadata such as demographic data, transaction data or point of sale data, when combined with unstructured data can help organizations better understand consumer behavior and market forces, at a much more granular and deeper level. This enables brands to make effective business decisions for profitable growth.
This presentation explains how unstructured data analytics can help in building a digital library of news, blogs, and research papers to keep track of changing trends and news, as well as creating a digital summary to ensure information from various online resources are used to ensure technology, product development, and customer experience teams stay updated about the latest trends.
The presentation also covered and introduced our Unstructured Text Analytics Platform ("UTAP") which allows the automation of classification of unstructured text data to categories, enabling organizations to track customer categories/issues over a stipulated period of time, with faster and more efficient analysis of unstructured text data.
Outsourcing - Outsourcing provides the companies basic level regular services to the other companies inside or outside the country firms so that company focuses on their core services.Outsourcing-all in one Solutions, Types of outsourcing , BPO-Business process , KPO-Knowledge process , LPO-Legal process outsourcing ,Top Drivers of Outsourcing , Outsourcing Destination, India Preferred Outsourcing Destination, Outsourcing Services, Outsourcing Examples, Outsourcing Case - Study, Outsourcing Benefits , Outsourcing advantages , Potential risks of Outsourcing , future trends, Outsourcing Framework ,Broadcast jobs ,Outsourcing Solutions, Outsourcing Companies , Outsourcing service providers, reverse outsourcing , BPO - business Models
Offshore, Nearshore, onshore services
how i managed to Develop a Analytics story for services about 4 years back. Contains
Maturity Model, Business Potential, Services Structures Areas that analytics can be applied to
20150108 create time stamp
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
The New Enterprise is adopting
new tools and technology that
utilize data, mobilize their
workforce, and increase
collaboration throughout the
organization. In this new report, SVB Analytics examines the underlying industry sectors supporting this new business environment and offers data on venture funding, revenue models and valuations.
Top 5 Business Intelligence (BI) Trends in 2013Siva Shanmugam
Below are a few trends that we believe are going to gain momentum this year.
Agile IM
Cloud BI / SaaS BI
Mobile Business Intelligence
Analytics
Big Data
Business Intelligence, Data Analytics, and AIJohnny Jepp
Data is the new currency. In this session, best practices on data collection, management dashboards, and used cases will be shared using Azure Data Services.
Video accessible at bit.ly/APACSummitOnDemand
Shwetank Sheel
Chief Executive Officer
Just Analytics
Poonam Sampat
Cloud Solution Architect - Data & AI
Microsoft Asia Pacific
Welcome to the future of the Internet of Things. IoT Viewpoints 2018 is a collection of Ovum’s newest thought leadership on emerging IoT trends, technologies and opportunities.
Dr Christoph Nieuwoudt- AI in Financial Servicesitnewsafrica
Dr. Christoff Nieuwoudt delivered a keynote on AI in Financial Services at Digital Finance Africa 2023 on the 2nd of August 2023 at Gallagher Convention Centre, Johannesburg, Midrand.
Are the Indian Supply Chain Start-ups ready? Can they deliver global service levels at Indian cost? What are the boardroom priorities and expectations? How do Indian Start-ups view the challenges and opportunities? Curious to know on 5x Moonshot program and upcoming CII-DNB Start-up performance index? Check out here on how CII can support the Start-ups. Based on CII’s primary research with inputs from 50 C-Suite professionals and 50 Indian Start-ups.
Course5 Intelligence has been an early adapter of AI in the space of Market Research, investing substantially in AI-based automation technologies for research. Today our AI-driven Platform for Research Operations, Optimizer Suite, is a flagship product that cuts turnaround time for MR projects by up to 60%.
See how Optimizer Suite can transform your research operations in 2019!
This webinar co-organized by Course5 Intelligence and the Insights Association explores how a generation of quasi-digital, semi-automation tools and technologies is today being replaced by powerful unified AI-driven systems that are fast, intelligent, and intuitive.
Course5 Intelligence has developed and deployed across its key clients a sophisticated AI solution that allows you to view all your Customer Experience drivers in a clean, interactive interface.
Course5 & Lenovo: Analytics driven Digital Trading DeskCourse5i
We build for organizations the capabilities and intelligence to make the most effective strategic and tactical moves related to customers, markets, and competition
Webinar: ‘Research’ on Research – Your Very Own Insights Jukebox!Course5i
Watch this webinar to learn how you can make optimal use of your own past research data to optimize future campaigns, gain insights from your past research data and ultimately improve ROI by reducing costs.
Whether your organization is new to this space or is simply struggling to generate significant returns from a well-defined Digital Customer Experience roadmap, this webinar will give you enough takeaways to drive successful digital customer experience for your organization.
Telco Paper by Blueocean Market IntelligenceCourse5i
At Blueocean, we are committed to work with large telecom providers who want to go for omnichannel experience for their end consumers.
To learn more about our Digital Customer Experience solution and how it can integrate with your existing technology infrastructure, go through this Short Paper on Telco Industry Solutioning.
Customer experience measurement in the utilities industry – closing the loopCourse5i
Though utilities enjoy the relative comfort of a semi-monopolistic market, they do need to address the challenges around deregulation pressures and the continued to need to maintain profitability with a commodity product that only makes its presence felt when it is absent. In addition, environment consciousness, sensitivity to climate change, and demand for clean energy is at unprecedented levels – creating competitive pressures that utilities have never experienced before. Satisfied customers raise the competitive threshold and hence assure predictable and steady revenue streams.
Effectively managing customer engagement at every touch point to ensure a positive, memorable experience is key to retaining customers and enhancing customer life time value. Dynamically aligning the organization to changing customer preferences and expectations is key to creating and retaining a competitive edge in the markets.This requires a good understanding of the customer’s collective and segmented usage patterns, attitudes, preferences, dislikes, concerns, habits, behaviors and budgets. To successfully manage customer experience, there is also the need for an ability to quantify all of these characteristics and track them over a period of time to understand the gradual evolution in these.
This webinar will summarize the need for customer experience measurement in the utilities industry and the evolving challenges associated with measuring customer satisfaction. During this knowledge sharing session, we will be sharing a holistic approach towards customer experience measurement – especially with respect to harnessing the plethora of information sources available today. We will present the latest thinking on what drives customer experience in the utilities sector. We will end the session with an outlining of the key information areas that utilities need to monitor, the types of analytics and tools to consider, and the approaches that are likely to yield the best returns on your Customer Experience Measurement (CEM).
Blueocean Market Intelligence has created a proprietary solution called "Persona™" that enhances an organizations’ current customer segmentation or can be used to conduct an independent digital customer segmentation exercise. This solution provides insights around customers’ spending habits, purchase patterns, past behavior and purchases, recent and historical interaction with product categories, etc. It tracks and understands digital attributes, digital body language, up and downstream click data, sales funnel position and device preferences are important considerations for effectively identifying and building digital personas.
Using Persona's technology platform to capture Big Data effectively, we are able to empower global marketing teams to get closer to one-on-one marketing by delivering the right content to the right person, at the best time on the preferred channel.
Organizations today still face challenges when trying to identify, tap into and influence digital customers around their products and services. Traditional customer segmentation exercises are typically inward-facing and don’t lead to the appropriate return. In spite of mountains of data, a more transparent customer, and large investments to create digital personas and profiles of the targeted customer set, actual customer behavior and need sets are mostly shrouded in a mystery.
Blueocean Market Intelligence has created a proprietary solution called "Persona™" that enhances an organizations’ current customer segmentation or can be used to conduct an independent digital customer segmentation exercise. This solution provides insights around customers’ spending habits, purchase patterns, past behavior and purchases, recent and historical interaction with product categories, etc. It tracks and understands digital attributes, digital body language, up and downstream click data, sales funnel position and device preferences are important considerations for effectively identifying and building digital personas.
Using Persona's technology platform to capture Big Data effectively, we are able to empower global marketing teams to get closer to one-on-one marketing by delivering the right content to the right person, at the best time on the preferred channel.
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
Nvidia’s much anticipated, Shield has come a long way since it was first introduced at CES early 2013. After many alterations and changes NVidia are finally satisfied with the product and are supposed to ship it by July. This infographic aims to highlight early impressions of the console and identify the possible impact it may have on NVidia’s business.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
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2. Study methodology
NASSCOMcarriedoutthisstudyinpartnershipwithBlueoceanMarketIntelligence:
•Onlinesurveyamonganalyticsusers/non-users:BlueoceanconductedanonlinesurveyamongIndianfirmscoveringbothusersandnon-usersofanalyticsacross~600firms
•In-depthinterviewswithusers(demandside):blueoceanandanindependentresearchconsultantjointlyinterviewednearly15analyticuserfirmstogetdeeperinsightsaboutanalyticsadoption,driversandchallenges.Thesefirmsrepresentedvariousverticalsincludingadvertising,healthcare,telecom,auto,eCommerce,microfinance,energy& utilities,CPG,etc.
•In-depthinterviewswithanalyticsvendors(supplyside):NASSCOM’sinternalteamandanindependentresearchconsultantconductedin-depthinterviewswithanalyticsvendors(20firmsrepresentingserviceprovidersandanalyticsproductfirms)tounderstandtheirperspectivesonthedomesticmarketpotential
•Secondaryresearch:Blueoceanresearcherslookedatbusiness,industry,andtechnologypublicationsforinformation
2
3. Pre-relational
DescriptiveWhat is happening?
DiagnosticWhy/How did it happen?
Predictive
What may happen?
Prescriptive
What should we do?
Analytics: Progress from reactive to proactive, real- time response
Evolution: From static to real-time, dynamic analytics
Examples:
•Sales reports
•Customer segmentation
Examples:
•Web analytics
•Location intelligence
Examples:
•Propensity modeling
•Sales forecasting
Examples:
•Price optimisation
•Marketing mix optimisation
Complexity, usage of statistical methods
1990s
2000-2004
Pre 1970s
Examples:
•Data generation
•Storage
2005-2010
2011 onwards
Technologies
Relational Databases
OLAP tools
Web analytics tools
Data virtualisation
Packaged analytics tools
Mobile BINoSQLHadoop, Hive
Cloud BI
Big data HANA
ETL tools
BI suites
Dashboard tools
Data integration platforms
Machine learning
AI
Source: blueocean, NASSCOM 3
5. …Driven by data explosion, access to affordable computing & business imperatives
Volumeof data is exploding 10x increase
Zettabyte
5
4
40
2013
2020
10X
2000
2014
Data comes from increasing Varietyof sources; with increasing Velocity:Social media, cloud, IoT, eCommerce, cloud computing
Significant reduction in cost of acquiring, storing, managing data
Increased need for analytics:Firms realisingthe value of analytics to compete and operate efficiently
Data storage cost
USD/GB
800 mn+ daily active users
6 billionhours of video watched every month
250 mn+ active users; 100 mn+ tweets every day
1 Exabyte data stored in cloud, growing rapidly
9 billion connected devices in 2018, up from 2 billion today
Increased vendor activity:Analytics is emerging as one of the top revenue opportunities
Analytics: A top priority for CXO’s
CIO priority surveys (2012-2014)
Priority rank for Analytics & BI
1
C–Suite survey, 2013
1
CIO Conference Poll, 201
1
State of CIO survey, 2014
1
99%
Source: cdn.business2community, Gartner, IDC
0.1 –0.5
10
6. India analytics market: CAGR of ~25 per cent to cross USD 2 billion by FY2018
Indian analytics market (USD million)
Notes: #-represents only outsourcing services market
Source: NASSCOM
India: Analytics landscape
•Domestic market still nascent; to double by FY2018
•Rapid growth in internet penetration, mobile penetration, ecommerce driving data growth
•Globalization, competition, regulatory compliance are also key foundational drivers
•There is increased C-Suite awareness about benefits from big data and analytics
FY2014E
Analytics firms
Start-ups
Product firms
Integrated firms**
600+
XXX
XXX
XXX
Notes: *: The break-up given includes over-laps; hence a direct total can't be calculated; **: Top 100 IT-BPM firms who offer analytics services and products
Source: NASSCOM
2
#
*
92
XXX
XXX
521
XXX
XXX
FY2012
FY2014E
FY2018P
Domestic
Exports
CAGR 24%
CAGR 26%
613
954
2,275
7. Mobile and internet growth, technology base, growing economy sets the base for analytics growth in India
Increasinginternet, mobile penetration driving data growth
internet users
29
382
2012
2016
Smartphone users in India#(mn)
Organised retailgrowing rapidly, driving need for analytics
2012
2015E
40.5
88.3
Increasedawareness at C-suite level
Regulatory compliance
social media users
•Big data & analytics -No. 2(after cloud) in key areas for investment for CIOs
•RBI’s Automated Data Flow initiative (ADF)
•International Financial Reporting Standards (IFRS)
•eXtensible Business Reporting Language [XBRL]
To further push firms to invest in analytics and BI
243 mn
168.7 mn
Organised retail* USD million
Retail eCommerce
is exploding (no of online shoppers)
20mn
2013
40mn
2016
Rapid technology adoption by Indian industry
•Limited legacy IT challenges, enable rapid technology adoption
•Huge potential for analytics as large number of Indian firms get increasingly IT enabled
Growingeconomy, competition, globalisation
•India: One of the fastest growing economies
•Stabilising economy, globalization, increased on- data, fact-based decision- making tools
Source: Accelpartners, Avendus, blueocean, CIOandleader, Gartner, IBEF, IBM 7
8. Mumbai
16%
Bengaluru
29%
Chennai
8%
Pune
8%
Delhi
11%
Hyderabad
11%
Gurgaon
7%
Noida
7%
Kolkata
4%
India: Vibrant analytics vendor ecosystem
•1.5X:GrowthinnumberofanalyticsfirmsinIndiainlasttwoyears
•~3.6X:IncreaseinaverageemployeesofanalyticsfirmsinIndiafrom76in2012to270in2013
…Geographic spread in India
per cent
Analytics vendor landscape in India…
Global in-house centres
50+
Pure-play analytics service providers
80+
BPMs & KPOs
80+
Integrated
firms
100+
Analytics
software /
product firms
200+
Source: Analytics India magazine, blueocean, NASSCOM 8
9. 9
Key drivers: Data driven decision making, customer insights, improved performance and efficiencies
243
212
181
169
145
Base 286; multiple responses allowed, value indicates number of respondents ranking these in top 3
Primary factors driving Indian firms to deploy analytics
No. of responses
•eCommerce firms, BFSI and telecom, leading the charge
•Firms in India increasingly looking to analytics to formulate business-driven strategies and derive value…
•…and better manage costs, optimiseoperational processes, earn higher returns
Source: blueocean, NASSCOM
Verticals
Adoption rate
Telecom
High
BFSI
High
eCommerce
High
Retail
Medium
Manufacturing
Medium
Media & advertising
Medium
Government
Medium
Healthcare
Low
Education
Low
Better decision-making
Driving sales and revenues
Cost control, improve RoI
Process efficiency & improvement
Greater customer insights
10. Supply-side challenges: Proving business case, data veracity
•CXO level commitment lacking -Analytics remains a priority to select teams/individuals
•In many Indian organisations, there is a lack of understanding of analytics and its potential benefits
•Customers focus on short term resultsvis-à-vis long term growth goals –more “output” focused than “outcome” focused
•Data collection capabilities are not robust or standardised in many Indian firms; silo-eddata available, and these don’t talk to each other; no consolidated view
•Reluctance to changeexisting internal IT structure or some of the existing organisational systems
•Difficult in finding resources with knowledge of statistics and analytical tools plus domain knowledge, business analysis skills and program management skills
•Internal analytics teams of customers not exposed to business side –leading to lack to understanding of requirements at both ends
10
Challenges mapped to analytics value chain
Value Chain Stages
Challenges
•Organisational siloes
•Existing systems
Data
Collection
•User appreciation of importance of this phase
•Existing systems
•Cost of resources
•Short term focus
•Domain knowledge
•Cost of resources
Data
Organization
Data
Analysis
Data Interpretations
Source: blueocean, NASSCOM
11. Demand-side challenges: Proving RoI, TCO, budget are key challenges; users find data siloes as a key challenge
11
Base: 286-analytics users and 312-non-users of analytics
(multiple responses allowed, value indicate number respondents ranking these in top 3)
Key challenges for analytics deployment
•While many of the challenges were reported by both the users and non-users, there were some clear differences.
•For non-users budget constraints came out as the number one reason closely followed by “unsure how analytics can benefit the organization”
(Users)
(Non-users)
Source: blueocean, NASSCOM
31%
39%
42%
50%
57%
72%
77%
86%
Lack of in-house expertise
Where do I start?
Lack of domain skills(vendors)
Data collection issues
Lack of managementsupport
Cost of solutions andservices
Unsure of benefits
Budget constraints
19%
25%
34%
40%
43%
46%
53%
58%
64%
Insufficient in-house expertise
Where do I start?
Poor data quality
Budget constraints
Management support, vision
Analytics tool cost
Vendor costs
Sharing data across BUs, siloes
Proving the RoI, business value
12. Over 60 per cent of users recognise relevance of analytics
No opinion4%
Not important5%
Somewhat important30%
Important38%
Very important23%
Importance of analytics
Indian firms
XX%
XX%
18%
3%
Central analytical group that closelycoordinates analytical activity acrossthe enterprise
Central analytical group; somecoordination over analytical activityacross the enterprise
Localised analytical capabilities that arebeginning to share tools, data & people
Uncoordinated pockets of analyticalactivity
Current state of analytics in Indian firms
Users
Base: 598; 286 analytics users, 312 non users
Base: 286 analytics users
Source: blueocean, NASSCOM
No opinion9%
Not important14%
Somewhat important38%
Important26%
Very important13%
Users
Non-users
Focus area for IT-BPM industry in immediate future
12
13. Indian firms recognise the relevance of leveraging analytics; but need to need to “industrialise” analytics
13
•In order to derive value from analytics, organizations need to “industrialize” analytics
•Industrialization of analytics implies analytics programs that are tightly tied to business outcomes, delivered via engagement models that disaggregate the analytics process chain, hive out the repeatable and standard processes to centralized process teams, and use standardize tools & approaches
•Very few respondents in our study indicated that analytics is “not important”.
Business value
Phase 1: Discover
Phase 2: Establish
•Deliver initial pilots/models
•Organisational buy-in
•Standardisetools, processes
Phase 3: Industrialise
•Link analytics business priorities
•Disaggregate analytics, move “heavy lifting” processes to shared services teams/outsource
•Standardisetools, processes
Mid term
Long term
Short term
•Data discovery
•More of “art”
•Analytics pilots
Current state of analytics organization
In Indian firms –(Users)
42.0%
37.4%
17.5%
3.1%
Central analytical group that closelycoordinates analytical activity across theenterprise
Central analytical group; somecoordination over analytical activityacross the enterprise
Localised analytical capabilities that arebeginning to share tools, data & people
Uncoordinated pockets of analyticalactivity
Source: blueocean, NASSCOM
14. How can IT-BPM firms differentiate their solutions?
76%
69%
60%
54%
46%
31%
30%
Base 286; multiple responses allowed, value indicate number of respondents rating these as top 2 on a 5 point scale
Important criteria while selecting analytics solutions & services
No. of responses
Return on investment
Proven cases, references
Assistance in setting up analytics system
Cost, discounts
Vendor brand/reputation
Product functionality
Responsive after sales service
Source: blueocean, NASSCOM
Clear need for showcasing business value:
•Demand side seeing value add in learnings from global and Indian peers
Phase 1: Discover
Phase 2: Establish
Phase 3: Industrialise
Hand-hold across the analytics value chain:
•Integrate multiple data sources, optimise data utilisation, data security, maintenance
•Lower total cost of ownership
As analytics gets further embedded into firms’ business culture:
•Greater demand for functionality across business value chain
•After sales services –to emerge as a key differentiator
14
15. Engagement models: Largely hybrid of dedicated internal teams and vendor engagement
•IntheIndiandomesticmarket,largepartofanalyticalengagementscontinuetobedrivenbyinternalteams.WhenIndianfirmslookatoutsourcinganalytics,largefirmspreferannuity/FTEmodels.Smallerfirmsoptingforad-hocengagementstopilotanalyticsbasedprojects,analysetheRoI,andthenmakelargerinvestments
•Inmanycases,Indianfirmsworkwithanalyticssoftwarevendorsfortoolsandsystemsandimplementationservices,andthenhavetheirowninternalteamsrunandmanagetheanalyticsservices
•IT-BPMfirmsofferinganalyticsaspartofthepackageddeal;independentpureanalyticsoutsourcingprojectsyettogainsufficienttraction
Internal teams
One-off/Project based engagement
Annuity/FTE engagement
Outcome based models
Adoption by Indian analytics users
High
Moderate
Low
Negligible
Source: blueocean, NASSCOM 15
16. Recommendations
Vendors
Users
Academia
Govt
NASSCOM
Increase awareness aboutanalytics
Communicate the benefits of analytics
Develop analytics talent pool, not just in tools, but also in domainskills, business analysis etc.
Focus on long term benefits
Be prepared to make investments in analytics
Offer integrated services across the analytics value chain
Address cost concerns of domestic clients
16
Recommendations for stakeholders
What needs to be done to tap the domestic analytics market opportunity?
Source: NASSCOM blueocean study
17. Recommendations
Vendors
Users
Academia
Govt
Organizational focus, C suite commitment
Strategic handshake between departments, cross-functional teams, focus
Tie analytics initiatives to business priorities
Integrate analytics with legacy systems and tools
Disaggregate analytics processes, move standard processes to scalable delivery teams
Standardize and leverage common tools & technology
Address cost concerns of domestic clients
17
Recommendations for stakeholders
What needs to be done to industrialise analytics in organizations in India?
Source: NASSCOM blueocean study
18. Summary
Foreachofthesestages,thesupply-sidewouldneedtoaddressspecificissues:
•Phase1:ShowcaseRoI,usecases-valueaddinlearningsfromglobalandIndianpeers
•Phase2:Addressentireanalyticsvaluechain-integratemultipledatasources,optimisedatautilisation,datasecurity,datamaintenance
•Phase3:Industrialise:Greaterdemandforfunctionalityacrossbusinessvaluechain;aftersalesservices–akeydifferentiator
Industrystakeholderswillneedtoworkona6pointagendawhichinvolves:
Six point agenda for Industry stakeholders
1.Raising awareness
2.Creating talent
3.Variabilising cost of offerings
4.Standardising tools and technologies
5.Setting up cross functional analytics teams
6.Getting C-level buy in, to drive industrialisation of analytics in India
18
19. 19
Industrialisation of Analytics in India: Big Opportunities, Bigger Outcomes
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