Energy Data Analytics | Energy Efficiency | IndiaUmesh Bhutoria
This white paper/forward looking note focuses on the role that energy data analytics can play in driving energy efficiency practices and investments, especially in the Indian context. It’s based on extensive desk research and supported by an online survey conducted on industry personnel and other experts
IBM Netezza - The data warehouse in a big data strategyIBM Sverige
Big Data - Trender och verklighet inom Information Management.
Denna presentation hölls på IBM Data Server Day den 22 maj i Stockholm av Jacques Milman, Datawarehouse Architecture Leader, IBM
In this new Accenture Finance & Risk presentation we explore how our Regulatory Reporting Dashboard and offerings can help clients create greater efficiencies in their financial reporting process.
For more on regulatory reporting, view the presentation "User Defined Tools": accntu.re/2qAJBaO
For more information about Accenture Finance & Risk Practice, visit bit.ly/2j2JD6X
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
Energy Data Analytics | Energy Efficiency | IndiaUmesh Bhutoria
This white paper/forward looking note focuses on the role that energy data analytics can play in driving energy efficiency practices and investments, especially in the Indian context. It’s based on extensive desk research and supported by an online survey conducted on industry personnel and other experts
IBM Netezza - The data warehouse in a big data strategyIBM Sverige
Big Data - Trender och verklighet inom Information Management.
Denna presentation hölls på IBM Data Server Day den 22 maj i Stockholm av Jacques Milman, Datawarehouse Architecture Leader, IBM
In this new Accenture Finance & Risk presentation we explore how our Regulatory Reporting Dashboard and offerings can help clients create greater efficiencies in their financial reporting process.
For more on regulatory reporting, view the presentation "User Defined Tools": accntu.re/2qAJBaO
For more information about Accenture Finance & Risk Practice, visit bit.ly/2j2JD6X
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
Top industry use cases for streaming analyticsIBM Analytics
Organizations need to get high value from streaming data to gain new clients and capitalize on market opportunities. Discover how IBM Streams is best suited for use cases that has the need for high speed and low latency.
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
Predictive analytics are increasingly a must-have competitive tool. A well-defined workflow and effective decision modeling approach ensures that the right predictive analytic models get built and deployed.
This new Accenture Finance & Risk document presents an approach to addressing the reporting demands and challenges of an evolving regulatory environment. Learn more about Accenture Finance & Risk Practice: bit.ly/2j2JD6X
Business Analytics and Optimization Introduction (part 2)Raul Chong
Technical introduction to Business Analytics and optimization. This is part 2. Part 1 can be found here: http://www.slideshare.net/rfchong/business-analytics-and-optimization-introduction
Accenture Regulatory Reporting As A Serviceaccenture
In this new Accenture Finance & Risk document we review how our Regulatory Reporting as a Service offering allows clients to transform their regulatory reporting capability through process improvement, cost reduction, standardization and enhanced transparency. See our other presentation on Financial Reporting Robotics: http://bit.ly/2qaLK9y
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.
Designing Enhanced Supervision for the Evolving Wealth Management Ecosystemaccenture
Converging and rapidly evolving industry trends are creating a new wealth management environment demanding Wealth Managers redefine supervisory governance to best support the firm’s growth strategies while balancing strong risk management. In this new Accenture Finance & Risk presentation we explore the evolving wealth management trends and challenges and outline four key business supervision design questions to support sustainable, long-term growth.
Data has become a key focus for corporate leaders today. Chartered Global Management Accountant (CGMA) designation holders are well placed to help translate data into commercial insights and value.
IoT and equipment connectivity are vital necessities for original equipment manufacturers, owners, and operators who want to maintain or increase market share.
Give your Energy Auditing Business an EDGE with the Motor-Tool!Umesh Bhutoria
Presentations on how Energy Auditors/Consultants can leverage SaaS based Motor Tool, give their business an Edge and find new ways to engage with clients!
Behavioral Analysis for Financial Crime Threat Mitigationaccenture
In this new Accenture Finance & Risk presentation we explore how behavioral analysis can help financial services firms strengthen their ability to identify financial crime threats and facilitate complex investigation. Get more on financial crime: https://accntu.re/2qN476b
The main task of this talk is to see how Data Science can influence big companies to generate new revenue and more profit.
Subjects that will be addressed in this talk are:
• Understanding a value it brings to corporations on long-term (direct revenue generation not only cost reduction);
• Data Science is important part of digital transformation. Are corporations ready?
• Management dedication on investment;
• Lack of Data Science managers acting as a link between Data Scientists and Business managers. Provide motivation/interesting tasks for Data Scientists while validating investments in business environment;
• Lack of skillful Data scientists;
• Compensation of Data Scientists among other Employees (obviously a different scales needs to be applied);
• Examples of Applied Data Science as revenue generators in Telenor Serbia;
Retail experiences will be dominated by in-store analytic modules and aisle or on-self interactions. These new type of data will provide a true omni-channel experience to the end consumer enabling brands deliver a real precision marketing experience. One to one marketing is here and can be efficient applied within the physical store, where still 94% of all retail purchases take place.
Top industry use cases for streaming analyticsIBM Analytics
Organizations need to get high value from streaming data to gain new clients and capitalize on market opportunities. Discover how IBM Streams is best suited for use cases that has the need for high speed and low latency.
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
Predictive analytics are increasingly a must-have competitive tool. A well-defined workflow and effective decision modeling approach ensures that the right predictive analytic models get built and deployed.
This new Accenture Finance & Risk document presents an approach to addressing the reporting demands and challenges of an evolving regulatory environment. Learn more about Accenture Finance & Risk Practice: bit.ly/2j2JD6X
Business Analytics and Optimization Introduction (part 2)Raul Chong
Technical introduction to Business Analytics and optimization. This is part 2. Part 1 can be found here: http://www.slideshare.net/rfchong/business-analytics-and-optimization-introduction
Accenture Regulatory Reporting As A Serviceaccenture
In this new Accenture Finance & Risk document we review how our Regulatory Reporting as a Service offering allows clients to transform their regulatory reporting capability through process improvement, cost reduction, standardization and enhanced transparency. See our other presentation on Financial Reporting Robotics: http://bit.ly/2qaLK9y
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.
Designing Enhanced Supervision for the Evolving Wealth Management Ecosystemaccenture
Converging and rapidly evolving industry trends are creating a new wealth management environment demanding Wealth Managers redefine supervisory governance to best support the firm’s growth strategies while balancing strong risk management. In this new Accenture Finance & Risk presentation we explore the evolving wealth management trends and challenges and outline four key business supervision design questions to support sustainable, long-term growth.
Data has become a key focus for corporate leaders today. Chartered Global Management Accountant (CGMA) designation holders are well placed to help translate data into commercial insights and value.
IoT and equipment connectivity are vital necessities for original equipment manufacturers, owners, and operators who want to maintain or increase market share.
Give your Energy Auditing Business an EDGE with the Motor-Tool!Umesh Bhutoria
Presentations on how Energy Auditors/Consultants can leverage SaaS based Motor Tool, give their business an Edge and find new ways to engage with clients!
Behavioral Analysis for Financial Crime Threat Mitigationaccenture
In this new Accenture Finance & Risk presentation we explore how behavioral analysis can help financial services firms strengthen their ability to identify financial crime threats and facilitate complex investigation. Get more on financial crime: https://accntu.re/2qN476b
The main task of this talk is to see how Data Science can influence big companies to generate new revenue and more profit.
Subjects that will be addressed in this talk are:
• Understanding a value it brings to corporations on long-term (direct revenue generation not only cost reduction);
• Data Science is important part of digital transformation. Are corporations ready?
• Management dedication on investment;
• Lack of Data Science managers acting as a link between Data Scientists and Business managers. Provide motivation/interesting tasks for Data Scientists while validating investments in business environment;
• Lack of skillful Data scientists;
• Compensation of Data Scientists among other Employees (obviously a different scales needs to be applied);
• Examples of Applied Data Science as revenue generators in Telenor Serbia;
Retail experiences will be dominated by in-store analytic modules and aisle or on-self interactions. These new type of data will provide a true omni-channel experience to the end consumer enabling brands deliver a real precision marketing experience. One to one marketing is here and can be efficient applied within the physical store, where still 94% of all retail purchases take place.
Analytics have become a vital element in grocery retailers’ toolboxes, helping them to hone in on best practices in order to improve customer service. From space management and promotion planning to price optimization and assortment planning, analytics are delivering the insights that help grow the business and improve the bottom line.
Retailers around the world are finding success with insight-driven analytics. Representing the largest grocery cooperative in Finland, Ilkka Alarotu from the S Group will share his expertise and experiences with analytics in an upcoming webinar.
Joining Alarotu during the webinar, industry consultant Jim Hertel from Willard Bishop will discuss his perspective on the benefits of analytics; and Cyndy Renfrow from SAS will share grocery case studies highlighting innovation and analytics.
Analytics is a critical tool that allows business owners to make
fact-based decisions about taxonomies. Taxonomy management involves capturing terms and concepts, analyzing their usefulness, and managing the employment of the concepts and terms within different contexts.
This presentation offers best practices on design and maintenance of taxonomies, as well as discusses the role of the governance plan.
The presentation covers broad areas of design methodology, with sustainable methods for maintaining taxonomies and integrating changes into their systems design processes.
Minds Lab Contact_Center_Solution_Using_ai_v1.0Eunjee Lee
Contact Center Solution Case Study using Artificial Intelligence
- Paradigm Shift
- Contact Center Evolution
- Virtual Assistant Application
- Benefits of Minds VA
Projecting Impact of Non-Traditional Data and Advanced Analytics on Delivery ...CGAP
In developing economies, low-income consumers do not have access to many financial products due to both a) suppliers’ lack of will and capability to develop products and business models appropriate to serving the bottom of the pyramid and b) a number of demand-side barriers involving price, consumer awareness, and product accessibility
Low-income consumers in developing countries are generating increasing volumes of non-traditional data on their behaviors and preferences, through their use of mobile phones, their physical and mobile payments and transactions, and their retail spending, and these data are being captured, structured, and stored by a variety of institutions and organizations
Financial services providers in developed and developing countries alike have begun to structure and analyze these non-traditional data on consumer behavior and preferences to lower delivery costs, expand customer awareness, and innovate on product design and service models
In order to assess the impact of leveraging non-traditional data and advanced analytics, we examined the way in which these applications might lower the cost structures of two financial products: microloans and microinsurance. We additionally assessed the potential for these applications to facilitate the development of new types of liquidity products tied to transactions accounts
To gain granular insights in the context of a particular market, we conducted our research in Tanzania, a country with low levels of financial services penetration but where mobile money usage is relatively high and where there are enough low-income focused financial products in the market to form the basis for our analysis
Our analysis suggests that NDAA could lower delivery costs by 15% to 30% for lending and insurance products, and facilitate the development of a low-cost credit line tied to a mobile wallet:
Transforming Business with Smarter AnalyticsCTI Group
Transforming Business with Smarter Analytics by Deb Mukherji @ BPT IBM Innovative Indonesia with Smarter Analytics, 12 June 2013, Shangri-La Hotel Jakarta
Consumer analytics is the process businesses adopt to capture and analyze customer data to make better business decisions via predictive analytics. It is a method of turning data into deep insights to predict customer behavior. It may also be regarded as the process by which data can be turned into predictive insights to develop new products, new ways to package existing products, acquire new customers, retain old customers, and enhance customer loyalty. It helps businesses break big problems into manageable answers. This paper is a primer on consumer analytics. Matthew N. O. Sadiku | Sunday S. Adekunte | Sarhan M. Musa "Consumer Analytics: A Primer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33511.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/33511/consumer-analytics-a-primer/matthew-n-o-sadiku
Data engineering Use Cases in financial industry.pdfshreyathaker
Join us as we unravel the mysteries of data engineering and uncover the secrets to success in the digital age. Our newsletter is your go-to resource for exploring the top 5 use cases that are driving innovation across industries and transforming the way businesses harness the power of data. With a blend of expert analysis, real-world examples, and practical advice, we empower data enthusiasts to tackle complex challenges and unleash the full potential of their data ecosystem. Whether you're a data scientist, engineer, analyst, or business leader, our newsletter provides valuable insights and actionable strategies to help you stay ahead of the curve and drive meaningful change in your organization.
Presentation from the Markedsføringsdagen 2013 conference, june 12 2013 in Copenhagen. Contains an overview of trends, uses, challenges for the CMO and innovation aspects of big data.
The use of Big Data is becoming a key basis of competition and growth for individual firms. In most industries, established competitors and new entrants alike will leverage data-driven strategies to innovate, compete, and capture value from deep and up-to-real-time information.
Creating Intelligent Infrastructure for Extreme Automationwiseio
This whitepaper, created jointly by TSIA and Wise.io, discusses the technology infrastructure needed to put extreme automation into production. Covering a range of industries and use cases, this paper provides a framework to explore and evaluate how to automate manual processes in your business.
Big data analytics for telecom operators final use cases 0712-2014_prof_m erdasProf Dr Mehmed ERDAS
Big Data Analytics for TELCOs Customer Experience Management Permission Based Marketing for Location and Movement Data Data Modelling Business Use Cases Data Mining BSS OSS COTS OTT Churm Modeling Markov Processes HANA HADOOP INtegration Video Streaming Test cases
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
1. This document contains information and data that AAUM considers confidential. Any disclosure of Confidential Information to, or use of it by any
other party, will be damaging to AAUM. Ownership of all Confidential Information, no matter in what media it resides, remains with AAUM.
AAUM Confidential
Analytics for
Water Utilities
2. - 2 -
Corporate profile
Founded by IIT Madras alumnus having extensive global business experience with Fortune 100
companies in United States and India having three lines of business
Prof Prakash Sai
Dr. Prakash Sai is professor at the Department
of Management Studies, Indian Institute of
Technology Madras. He has wealth of
international consulting experience in Strategy
Formulation
Puneet Gupta
Puneet spearheads the IFMR Mezzanine
Finance (Mezz Co.), is strengthening the
delivery of financial services to rural households
and urban poor by making investments in local
financial institutions.
Padma Shri Dr. Ashok Jhunjhunwala
Dr. Ashok Jhunjhunwala is Professor at the
Department of Electrical Engineering, Indian
Institute of Technology Madras India. He holds a
B.Tech degree from IIT, Kanpur, and M.S. and
Ph.D degrees from the University of Maine, USA.
Analytics
• Appropriate statistical models
through which clients can measure
and grow their business.
Competitive Intelligence
• Actionable insights to clients for
their business excellence
Livelihood
•Services ranging from promotion of
livelihoods, implementation services,
livelihood & feasibility studies.
Key Focus Areas in Advanced analytics and Predictive analytics
Product – geniSIGHTS (Analytics/BI), Ordo-ab-Chao (Social Media)
More than 25 consulting assignments for Businesses & Govt orgs
Partnership – Actuate, IIT Madras, TIE and 3 strategic partnerships
Dedicated corporate office at IIT Madras Research park since 2009
Aaum’s office, IIT Madras Research Park
3. - 3 -
Competencies in
Advanced analytics
Build appropriate statistical models through
which clients can measure and grow their
business.
Expertise in
• Digital Media
• Finance/Insurance
• Retail
• Entertainment
• Human Capital
• Government organizations
• Research & training
Competitive
assessment
Competitive intelligence
Provide actionable insights to clients for
their business excellence.
Expertise in
• Business Entry
• Business Expansion
• Market research
Livelihood
Perform livelihood services ranging from
promotion of livelihoods, implementation
services, livelihood and feasibility studies.
Expertise in
• Government
organizations
• Non Government
organizations
• Corporate with livelihood
focus
• Research
4. - 4 -
AAUM’s capability in analytics stems from expertise to extract insights from data sources with the
ability to develop advanced models aided by actual understanding
Data sources
Business
Rules
formulation
Analytical
model development
Analytical Advantage Using Mathematical modeling
Secondary
research
Client
Primary
research
Census
Research
firms
Statistical Tools
R (Statistical
System)
WEKA (Machine
learning software)
SPSS (Multivariate
Statistical Analysis)
SAS (Data mining,
Statistical, and
Econometric
modeling)
Analytical Advantage
Profiling &
Segmentation
Product
/Process
performance
Product
/process
innovation
Valuation,
Loyalty & life
time
Market Intelligence | Finance | Retail | Telecom | Supply Chain |Utility | Consulting
Client
6. - 6 -
“Organizations are competing on
analytics not just because they can-
but because they should…”
Thank You
7. - 7 -
Cross selling / up selling
An effective method to manage a growing customer base is the ability to under-
stand the increasing and needs of customers through past interactions with them.
Thus it enables the utilities to:
•Increase customer loyalty by offering them appropriate service for them
•Increase revenue from existing customer base
Methodologies:
Cross/Up Sell Model Data mart.
Data required:
• Customer, Contract, Account
• Services, Plan data
8. - 8 -
Complaints Analytics
Customer Complaints Analytics (CCA) Platform is a turnkey solution that identifies the root cause of the
customer complaints and predicts the future trends.
CCA Platform helps the utility providers in:
•Identifying the critical pain areas of the customers in various target segments, resolution of which
reduces expenditure on customer care, reduces customer churn and increases customer
satisfaction and loyalty.
•Monitoring customer care executives’/agency’s performance and tracking resolution time.
•Identifying the root cause of the customer complaints.
Methodologies:
Granularly segregating the complaints data on a common taxonomy, based on a standard lexicon of
definitions of terminology and types of complaints.
Qualifying the raw data in more granular terms by adding parameters like severity of problem,
periodicity of occurrence, type of fault detected etc
Run statistical analysis across parameters and help derive intelligent insights from the data either as
predictive models, or as behavior model or segment the data into intelligent patterns
The system identifies new issues in the field and flags higher-than-normal rate faults and notifies the
appropriate analyst to let them know there is a problem that needs investigating.
Data required:
customer care complaints database.
complaints on the water database.
9. - 9 -
Collection analytics
Analyze the credit history and behavior patterns of various customer segments as
well as the performance of various collection agencies/methods to determine which
collection agencies are suitable for different customer segments.
Methodology:
Collection model data mart
Data required:
Customer, Contract, Account, Services, Plan data
10. - 10 -
Customer Analytics
Customer Analytics provides a solution framework which helps utility firms to
classify customers under groups of individuals that are similar in specific ways viz,
spending habits, interests, age, gender, demographic patterns etc.
Methodologies:
Customer Segmentation for Trend Monitoring and Forecasting
Customer segmentation using decision tree
Marketing Response Analysis with Gains & Profit Charts
Data required:
Geographic variables
Psychographic segmentation variables
Behavioral segmentation variables
11. - 11 -
Rewarding Analytics
Rewarding Analytics helps the firm to identify customers conserving water and
rewarding with attractive offers.
Methodologies:
In order to better analyze the performance, one needs to ensure following steps are
followed.
Gathering data
Analyzing data
Presenting information in a meaningful way.
Data required:
Customer database
Metering database
12. - 12 -
Metering Analytics
Meter Data Analytics provides a mashup of Automated Meter Reading, CIS and GIS
data in a simple to use web portal for utility customers, customer service
representatives, engineers and executives to enable faster, smarter decision making.
Powel MDA delivers accuracy, end-to-end visibility and real-time control over
business processes related to smart metering.
Methodologies:
In order to better analyze the performance, one needs to ensure following steps are
followed.
Gathering data
Analyzing data
Presenting information in a meaningful way.
Data required:
Customer database
Metering database
13. - 13 -
Most water utilities in England and Wales are classified as
The primary underpinning of these ratings is our view of low business risk in the
sector, which is characterised by:
A significant share of their profits coming from low-risk regulated activities;
Established and relatively transparent regulatory processes;
Strong and stable operating performance;
And strategic focus on owning and managing regulated water and sewerage assets.
BBB +A -
GRADE
Source: Utilityweek.uk/OFWAT
14. - 14 -
Evolution of the UK water industry Driven by the need for integrated
planning and infrastructure investment
Early years
Over 1,600 Local Authority water and
sewerage departments
30 Statutory ‘water only’ companies
1973 Water Act
Created 10 regional water authorities (but
‘poacher and gamekeeper’)
1989 Water Act
Privatized the water industry in England &
Wales
Shares sold on LSE, proceeds to Government
Set up three national regulators - Ofwat, EA,
DWI
DWI
COMPANY
EA
OFWAT
A Balance of Regulatory Tensions
15. - 15 -
EXHIBIT 1
Regina Finn, Ofwat Chief Executive Officer said:
"We understand times are hard and we have listened to what customers have told
us. They want a safe, reliable water supply at a reasonable cost.
"People can shop around for the best deal on many things, but not water. That's
why we've challenged the companies' plans rigorously to ensure that customers get
the best value for money from the £21 billion of investment.
"Our proposals allow the companies to build on the successes of the past, keep
bills broadly stable and create a better environment.
"Our decisions allow efficient, well run companies to invest in the right place at the
right time for the right price."
16. - 16 -
EXHIBIT 2
Ms Finn said:
"We've reduced bills, whilst allowing extensive investment of almost £21 billion.
Everyone will see real benefits as a result of our proposals.
"Not only will customers continue to receive a safe, reliable supply of water, but we
have worked closely with our partners to ensure our environment gets a better deal
too.
"Events such as flooding can seriously affect water supplies. We need to help guard
against that. Investment over the next five years will help keep the taps running by
reducing the risk of supply interruptions for around 10 million people.
"But it doesn't stop here. Once we finalise prices in November, we will continue to
hold companies to account by making sure they deliver on their investment
promises. Should they fail to do so we will take action."
17. - 17 -
A Small Number of Key Water Companies
NORTHUMBRIAN
WATER
YORKSHIRE
NORTH
WEST
ANGLIAN
SEVERN
TRENT
THAMES
SOUTH
DWR CYMRU
(Welsh)
WEST
SOUTHERN
THAMES
WESSEX
Water and Sewerage Companies Water Only Companies