Next-best offer refers to the use of predictive analytics solutions to identify the products or services your customers are most likely to be interested in for their next purchase.
Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. This presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Introduction to Decision Strategy Manager, the tool used to create Decision Strategies.
Introduction to the Decisioning Components, the building blocks of Decision Strategies
Pega Next-Best-Action Marketing White PaperVivastream
N-B-A (Next-Best-Action) marketing is an approach that uses real-time customer data and analytics to determine the optimal next action or communication for each individual customer across marketing channels. It aims to improve profitability through more customer-centric interactions. When implemented by O2, an early adopter, N-B-A resulted in a 9% increase in bill value, 75% response rate, and reduced customer retention costs in the first month. N-B-A marketing considers each customer's unique profile and preferences to identify the single best offer or message to provide at any given time, avoiding issues like campaign collisions seen in traditional marketing.
Predictive Analytics for Customer Targeting: A Telemarketing Banking ExamplePedro Ecija Serrano
This document discusses using predictive analytics and machine learning models to identify customers likely to purchase bank deposits. It tests various techniques including oversampling, undersampling, and generating synthetic data to address class imbalance in the dataset. Models tested include naive Bayes, support vector machines, decision trees, and ensembles. The best performing techniques were under sampling naive Bayes and support vector machines, predicting over 60% of buyers with around 25% of calls. Key factors identified for predicting purchases included customer contact history, economic conditions, time of year, and demographics.
1) The document proposes using advanced data analytics to build knowledge of customer behavior, preferences, and aspirations in order to maximize revenue.
2) A case study uses data from an online beauty/personal care subsidiary to demonstrate how clustering, classification, and regression analyses can provide insights.
3) The analyses identify customer subgroups, predict which customers will churn, and forecast spending amounts. This knowledge can then be used to target marketing and improve customer retention and spending.
It’s time to embrace the future of customer engagement. You need a customer-centric approach in order to build your business around the needs, preferences and intents of your customers on an ongoing basis. But do you know how to create the optimal customer insight platform to get you there?
Our guest Brandon Purcell, Senior Analyst at Forrester Research, and Steven Noels, CTO and Co-Founder of NGDATA, defines what the customer insight platform is, and how it can be used to engage in a relevant way with your customers, transform your business, optimize costs and achieve new growth.
Key takeaways include:
How to stay ahead of evolving customer demands, and how data and analytics play an essential part
Understanding all the components necessary to transform customer data into insights to meet and exceed your customers’ expectations
How to operationalize customer insights to optimize every customer interaction
Building Outstanding Customer RelationshipsAmy Cross
Next best action marketing is a tactic that has been around for a while, but few marketers have been able to fully take part in this powerful marketing strategy – especially in financial services, where customer data is abundant but hard to act on for marketing use. It’s a concept that the whole organization needs to align on because it impacts the entire customer experience. With next best action marketing, each customer becomes a “segment of one” versus a “segment of many,” improving marketing action precision and relevancy.
To implement next best action marketing, you need to have the right technology in place. It should be able to give you a complete understanding of each and every customer, and also be able to decide on – and recommend – the right actions to take, at the right time, based on the complete and actionable view of each individual customer.
James Taylor, CEO of Decision Management Solutions, and Steven Noels, CTO and Co-Founder of NGDATA, delve into next best action marketing, how you can use it to empower the customer experience, and the right technologies to get you there.
Key takeaways include:
Key concepts of next best action marketing
The importance of understanding your customers in an omni-channel environment
How to get your organization aligned around the strategy
How to get on the road to success with the right technology in place
The document describes case studies of various organizations using IBM analytics solutions to address challenges and gain benefits. It provides examples of how Arad Group used analytics to reduce water loss and costs by detecting leaks, how ASTRON analyzed exabytes of astronomical data to accelerate insights, and how Wimbledon used analytics to enhance the fan experience with real-time data and sentiment analysis.
Next-best offer refers to the use of predictive analytics solutions to identify the products or services your customers are most likely to be interested in for their next purchase.
Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. This presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
Introduction to Decision Strategy Manager, the tool used to create Decision Strategies.
Introduction to the Decisioning Components, the building blocks of Decision Strategies
Pega Next-Best-Action Marketing White PaperVivastream
N-B-A (Next-Best-Action) marketing is an approach that uses real-time customer data and analytics to determine the optimal next action or communication for each individual customer across marketing channels. It aims to improve profitability through more customer-centric interactions. When implemented by O2, an early adopter, N-B-A resulted in a 9% increase in bill value, 75% response rate, and reduced customer retention costs in the first month. N-B-A marketing considers each customer's unique profile and preferences to identify the single best offer or message to provide at any given time, avoiding issues like campaign collisions seen in traditional marketing.
Predictive Analytics for Customer Targeting: A Telemarketing Banking ExamplePedro Ecija Serrano
This document discusses using predictive analytics and machine learning models to identify customers likely to purchase bank deposits. It tests various techniques including oversampling, undersampling, and generating synthetic data to address class imbalance in the dataset. Models tested include naive Bayes, support vector machines, decision trees, and ensembles. The best performing techniques were under sampling naive Bayes and support vector machines, predicting over 60% of buyers with around 25% of calls. Key factors identified for predicting purchases included customer contact history, economic conditions, time of year, and demographics.
1) The document proposes using advanced data analytics to build knowledge of customer behavior, preferences, and aspirations in order to maximize revenue.
2) A case study uses data from an online beauty/personal care subsidiary to demonstrate how clustering, classification, and regression analyses can provide insights.
3) The analyses identify customer subgroups, predict which customers will churn, and forecast spending amounts. This knowledge can then be used to target marketing and improve customer retention and spending.
It’s time to embrace the future of customer engagement. You need a customer-centric approach in order to build your business around the needs, preferences and intents of your customers on an ongoing basis. But do you know how to create the optimal customer insight platform to get you there?
Our guest Brandon Purcell, Senior Analyst at Forrester Research, and Steven Noels, CTO and Co-Founder of NGDATA, defines what the customer insight platform is, and how it can be used to engage in a relevant way with your customers, transform your business, optimize costs and achieve new growth.
Key takeaways include:
How to stay ahead of evolving customer demands, and how data and analytics play an essential part
Understanding all the components necessary to transform customer data into insights to meet and exceed your customers’ expectations
How to operationalize customer insights to optimize every customer interaction
Building Outstanding Customer RelationshipsAmy Cross
Next best action marketing is a tactic that has been around for a while, but few marketers have been able to fully take part in this powerful marketing strategy – especially in financial services, where customer data is abundant but hard to act on for marketing use. It’s a concept that the whole organization needs to align on because it impacts the entire customer experience. With next best action marketing, each customer becomes a “segment of one” versus a “segment of many,” improving marketing action precision and relevancy.
To implement next best action marketing, you need to have the right technology in place. It should be able to give you a complete understanding of each and every customer, and also be able to decide on – and recommend – the right actions to take, at the right time, based on the complete and actionable view of each individual customer.
James Taylor, CEO of Decision Management Solutions, and Steven Noels, CTO and Co-Founder of NGDATA, delve into next best action marketing, how you can use it to empower the customer experience, and the right technologies to get you there.
Key takeaways include:
Key concepts of next best action marketing
The importance of understanding your customers in an omni-channel environment
How to get your organization aligned around the strategy
How to get on the road to success with the right technology in place
The document describes case studies of various organizations using IBM analytics solutions to address challenges and gain benefits. It provides examples of how Arad Group used analytics to reduce water loss and costs by detecting leaks, how ASTRON analyzed exabytes of astronomical data to accelerate insights, and how Wimbledon used analytics to enhance the fan experience with real-time data and sentiment analysis.
The document discusses how businesses can compete in the digital economy. It covers topics like using big data and analytics to gain insights, delivering superior customer experiences, and the need to act on data insights. It provides examples of how various industries like healthcare, retail, automotive and insurance can leverage digital technologies and data to improve operations and customer value. The key message is that competing in the digital world involves using data and technology to improve quality of service while maintaining operational simplicity and price competitiveness.
The document discusses how businesses can transition from a traditional reactive customer approach to a more modern proactive approach using customer analytics and behavior patterns. It advocates understanding customer problems before they arise, segmenting and profiling customers based on their behaviors, and using real-time personalization based on analyzed patterns. The document also discusses considerations for ensuring systems and organizations are ready to support a modern customer analytics approach.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
This document discusses using critical thinking and analytics to transform data science into actionable insights. It provides examples of using customer segmentation, predictive modeling, and optimization to personalize marketing campaigns. The document outlines a framework for developing analytical solutions, implementing predictive models, and measuring their impact on business goals like increasing customer lifetime value. Key aspects include generating segment-level forecasts, modeling customer behaviors, and optimizing variables like marketing spend.
Digitization has impacted every aspect of products and services. This elevates the importance of enabling a seamless user experience, through in-product user assistance tools to defining the mobile presence and everything else in between. This session walks you through building a UEx strategy for in-product navigation, self-help modules and the impact on rate of adoption and overall customer success.
This document describes a webinar that discussed next generation business and retail analytics technologies. The webinar covered challenges with current business intelligence tools, new analytics vendors and tools, trends in retail analytics, and case studies of companies using new analytics tools to improve performance.
Thunderhead argues that businesses should shift their focus from managing the customer journey to understanding the customer-managed journey. A customer's journey consists of interactions they choose across multiple channels and cannot be controlled by a business. However, businesses can gain insight into the actual customer journey by comparing it to journey maps and using data from real interactions to analyze customer behavior and take real-time action. This allows businesses to improve the customer experience at each stage of their personal journey.
Your website visitors arrive on your site, look around, read a bit, navigate and often take an action of some kind while there. The mountain of data available from web analytics, behavioral analytics, IP detection and more provides businesses with useful information to make a brand’s digital experiences better. However, data is meaningless unless you go beyond the “what” to understand the “why.” What’s needed are insights into the human mind and mapping these to the customer journey. Take a deeper approach to data utilization that can yield remarkable insights into your audience and breakthrough ideas for strengthening your relationship with your customers.
Modeling Techniques help to bring out the correlations that are predictive in nature. Here I talk about details of modeling statements that has been used to build life cycle management strategies
This document discusses wealth management solutions and the role of analytics. It outlines a typical analytics roadmap over 3 years to define objectives, automate processes, and integrate lifetime value metrics. Analytics can increase relationship manager effectiveness and efficiency by identifying wealth management candidates, providing dashboards on key metrics, and enabling insights from both structured and unstructured data sources. The goal is to use data and analytics to improve customer targeting, cross-selling, contact management, and decision-making across the client lifecycle.
GIGO - Garbage in Garbage Out dictum is as old as analytics field itself, yet, the relentless focus on improving data quality is a recent phenomenon.
As organizations develop a stronger data orientation, more important this topic is. Here is our approach to keeping data clean.
Business intelligence (BI) is a tool that analyzes raw business data from various sources like social media and online stores to provide insights. BI helps eCommerce businesses bridge gaps with customers, strengthen relationships with data, transform unstructured into structured data, discover opportunities, and guide future strategies. BI solutions allow businesses to perform customer, sales, inventory, and marketing analysis with just a few clicks.
A refresher guide about Data Science and Statistics in the domain of Business Intelligence. This presentation not only covers the data science basics but also the way business intelligence industry is headed.
1. Adiyanth Analytics is being set up to provide analytical capabilities and data-driven competitive advantages to organizations.
2. It focuses on information and knowledge management services for organizations that have experienced growth and are at risk of losing their competitive positions.
3. Adiyanth provides analytics services through outsourcing, data solutions, and professional services to help clients make knowledge-driven decisions.
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
The document discusses how organizations can fund their big data and analytics initiatives through incremental revenues, cost savings, and more effective marketing spending. It outlines typical stages in a company's analytics journey and provides case studies showing how analytics has been used to increase revenues by 2.5x, decrease costs by $2,190, and improve customer satisfaction by 63%. The key message is that most companies are not fully leveraging the data they already have and that properly implemented analytics can significantly improve customer engagement and drive strong returns.
The document provides an overview of marketing analytics, including defining marketing analytics, key elements and capabilities, impact, and getting started with analytics. Some key points:
- Marketing analytics is the process of identifying valid performance metrics, tracking them over time, and using the results to improve marketing. The goal is to measure progress toward objectives.
- Key elements include people, steps, tools/technology, inputs and outputs. Capabilities include understanding performance and reporting it externally.
- Impacts can include optimizing brand recognition, content, channels, customer understanding, and predictive intelligence.
- Getting started involves assessing readiness, reviewing objectives, and establishing metrics like website, social media, email, and digital advertising metrics.
This document discusses a framework for datafication of e-commerce prospecting. It considers using big data from sources like social media, website logs, and customer feedback to build a proprietary analytics architecture. The goals are to conduct big data discovery based on the business model and create methodologies to harness existing processes. Architectural considerations include data linking, text mining, and generating insights from structured and unstructured data. The framework would enable e-commerce decisions by providing an integrated customer lifetime value view and addressing data quality.
Marketing Technology, including Big Data capabilities now drive most of the marketing organization's drive to build a power base needed to bring about the "right" segmentation to achieve sharper positioning and precise targeting.
The document discusses how companies can implement next best offer strategies using customer data and signals. It describes how customers' purchasing behaviors have become more complex, influenced by various online sources. It then outlines how SAS software can help companies analyze customer data and behaviors to generate targeted, personalized offers at optimal times through real-time decisioning across all channels. Case studies show how US Bank improved sales and increased customer value using next best offer strategies based on signal and event analysis.
CCCK Corp is the official distributor of AIRLIVE CAMERA security cameras in Vietnam. They offer a wide range of IP cameras, NVR recorders, switches, and accessories from brands like AIRLIVE, AXIS, and Milestone. CCCK guarantees the best prices and provides full product information, quotes, and solutions support.
The document discusses how businesses can compete in the digital economy. It covers topics like using big data and analytics to gain insights, delivering superior customer experiences, and the need to act on data insights. It provides examples of how various industries like healthcare, retail, automotive and insurance can leverage digital technologies and data to improve operations and customer value. The key message is that competing in the digital world involves using data and technology to improve quality of service while maintaining operational simplicity and price competitiveness.
The document discusses how businesses can transition from a traditional reactive customer approach to a more modern proactive approach using customer analytics and behavior patterns. It advocates understanding customer problems before they arise, segmenting and profiling customers based on their behaviors, and using real-time personalization based on analyzed patterns. The document also discusses considerations for ensuring systems and organizations are ready to support a modern customer analytics approach.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
This document discusses using critical thinking and analytics to transform data science into actionable insights. It provides examples of using customer segmentation, predictive modeling, and optimization to personalize marketing campaigns. The document outlines a framework for developing analytical solutions, implementing predictive models, and measuring their impact on business goals like increasing customer lifetime value. Key aspects include generating segment-level forecasts, modeling customer behaviors, and optimizing variables like marketing spend.
Digitization has impacted every aspect of products and services. This elevates the importance of enabling a seamless user experience, through in-product user assistance tools to defining the mobile presence and everything else in between. This session walks you through building a UEx strategy for in-product navigation, self-help modules and the impact on rate of adoption and overall customer success.
This document describes a webinar that discussed next generation business and retail analytics technologies. The webinar covered challenges with current business intelligence tools, new analytics vendors and tools, trends in retail analytics, and case studies of companies using new analytics tools to improve performance.
Thunderhead argues that businesses should shift their focus from managing the customer journey to understanding the customer-managed journey. A customer's journey consists of interactions they choose across multiple channels and cannot be controlled by a business. However, businesses can gain insight into the actual customer journey by comparing it to journey maps and using data from real interactions to analyze customer behavior and take real-time action. This allows businesses to improve the customer experience at each stage of their personal journey.
Your website visitors arrive on your site, look around, read a bit, navigate and often take an action of some kind while there. The mountain of data available from web analytics, behavioral analytics, IP detection and more provides businesses with useful information to make a brand’s digital experiences better. However, data is meaningless unless you go beyond the “what” to understand the “why.” What’s needed are insights into the human mind and mapping these to the customer journey. Take a deeper approach to data utilization that can yield remarkable insights into your audience and breakthrough ideas for strengthening your relationship with your customers.
Modeling Techniques help to bring out the correlations that are predictive in nature. Here I talk about details of modeling statements that has been used to build life cycle management strategies
This document discusses wealth management solutions and the role of analytics. It outlines a typical analytics roadmap over 3 years to define objectives, automate processes, and integrate lifetime value metrics. Analytics can increase relationship manager effectiveness and efficiency by identifying wealth management candidates, providing dashboards on key metrics, and enabling insights from both structured and unstructured data sources. The goal is to use data and analytics to improve customer targeting, cross-selling, contact management, and decision-making across the client lifecycle.
GIGO - Garbage in Garbage Out dictum is as old as analytics field itself, yet, the relentless focus on improving data quality is a recent phenomenon.
As organizations develop a stronger data orientation, more important this topic is. Here is our approach to keeping data clean.
Business intelligence (BI) is a tool that analyzes raw business data from various sources like social media and online stores to provide insights. BI helps eCommerce businesses bridge gaps with customers, strengthen relationships with data, transform unstructured into structured data, discover opportunities, and guide future strategies. BI solutions allow businesses to perform customer, sales, inventory, and marketing analysis with just a few clicks.
A refresher guide about Data Science and Statistics in the domain of Business Intelligence. This presentation not only covers the data science basics but also the way business intelligence industry is headed.
1. Adiyanth Analytics is being set up to provide analytical capabilities and data-driven competitive advantages to organizations.
2. It focuses on information and knowledge management services for organizations that have experienced growth and are at risk of losing their competitive positions.
3. Adiyanth provides analytics services through outsourcing, data solutions, and professional services to help clients make knowledge-driven decisions.
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
The document discusses how organizations can fund their big data and analytics initiatives through incremental revenues, cost savings, and more effective marketing spending. It outlines typical stages in a company's analytics journey and provides case studies showing how analytics has been used to increase revenues by 2.5x, decrease costs by $2,190, and improve customer satisfaction by 63%. The key message is that most companies are not fully leveraging the data they already have and that properly implemented analytics can significantly improve customer engagement and drive strong returns.
The document provides an overview of marketing analytics, including defining marketing analytics, key elements and capabilities, impact, and getting started with analytics. Some key points:
- Marketing analytics is the process of identifying valid performance metrics, tracking them over time, and using the results to improve marketing. The goal is to measure progress toward objectives.
- Key elements include people, steps, tools/technology, inputs and outputs. Capabilities include understanding performance and reporting it externally.
- Impacts can include optimizing brand recognition, content, channels, customer understanding, and predictive intelligence.
- Getting started involves assessing readiness, reviewing objectives, and establishing metrics like website, social media, email, and digital advertising metrics.
This document discusses a framework for datafication of e-commerce prospecting. It considers using big data from sources like social media, website logs, and customer feedback to build a proprietary analytics architecture. The goals are to conduct big data discovery based on the business model and create methodologies to harness existing processes. Architectural considerations include data linking, text mining, and generating insights from structured and unstructured data. The framework would enable e-commerce decisions by providing an integrated customer lifetime value view and addressing data quality.
Marketing Technology, including Big Data capabilities now drive most of the marketing organization's drive to build a power base needed to bring about the "right" segmentation to achieve sharper positioning and precise targeting.
The document discusses how companies can implement next best offer strategies using customer data and signals. It describes how customers' purchasing behaviors have become more complex, influenced by various online sources. It then outlines how SAS software can help companies analyze customer data and behaviors to generate targeted, personalized offers at optimal times through real-time decisioning across all channels. Case studies show how US Bank improved sales and increased customer value using next best offer strategies based on signal and event analysis.
CCCK Corp is the official distributor of AIRLIVE CAMERA security cameras in Vietnam. They offer a wide range of IP cameras, NVR recorders, switches, and accessories from brands like AIRLIVE, AXIS, and Milestone. CCCK guarantees the best prices and provides full product information, quotes, and solutions support.
Ciclos formativos de grado medio. Isabel Bosch Linares. Orientadora.Paulo Freire
Este documento describe las condiciones de acceso a los Ciclos Formativos de Grado Medio. Para acceder, los estudiantes deben tener el Título de Graduado en Educación Secundaria Obligatoria, haber superado módulos de formación profesional inicial o estar en posesión de otros títulos equivalentes. También pueden acceder mediante una prueba de acceso o cumpliendo otros requisitos académicos como tener materias pendientes en Bachillerato. Al terminar un Ciclo Formativo de Grado Medio se obtiene el título de T
A report-on-american-and-efird-inc-a-e-bangladesh LtdSynthia Alam
The document provides an overview of the human resource management (HRM) practices of American & Efird (Bangladesh) Ltd. It first discusses the company background, including its joint ownership. It then describes the company's mission to produce high quality sewing threads through ethical practices. The document outlines the company's strategic goals to optimize profits, create jobs, and reduce income gaps. It also discusses the company's HRM planning process and management structure. Finally, it provides details on the company's recruitment, training, performance management and other HRM functions.
El documento describe el sistema Digital Picking System (DPS) de ULMA Handling Systems, que permite operaciones de picking, sorting y ensamblaje de manera flexible y personalizada. Usa tecnología Pick-to-Light que guía al operario hacia la ubicación y cantidad exacta de cada artículo a través de LED y pantallas. El uso de un sistema DPS elimina el papel y controla los movimientos electrónicamente, incrementando la productividad. Además permite supervisar automáticamente el trabajo de cada operario. El Pick-to-light es adecu
Notarized-w-Receipts-NYS-Venom-Drugs-and-Bombing-Criminal-Report-December-4-2...Prayer Warriors Institute
This document alleges criminal activity and obstruction of justice by two individuals: Boyden Gray and Jonathan Lippman. It claims they established regulations and compliance connections that allowed the infiltration of satanic and deadly drugs into New York state through a new health company aligned with Boyden Gray. The document asserts this was done to target poor and vulnerable populations through deceptive drug lists and approval schemes in order to kill and induce epidemics, in violation of U.S. laws against genocide, murder, and racketeering.
The document provides an overview and quick start guide for installing and tuning the Twin Tec TCFI III fuel injection controller for 2001-2009 Harley-Davidson motorcycles with fuel injected Twin-Cam engines. It outlines 20 steps for installation, which include checking for updates, installing hardware and software, uploading initial setup files, performing cold start and auto-tuning tests while monitoring engine data, and making additional adjustments during the auto-tuning process. The document also provides background information on how the TCFI III system controls air/fuel ratio and idle RPM using open and closed-loop control.
Este documento presenta información sobre el Camino Gabriela Mistral en Chile, incluyendo diferentes lugares y hitos asociados con la vida y obra de la poetisa Gabriela Mistral. Se destacan servicios turísticos como alojamiento, alimentación y transporte disponibles para visitantes. También se promocionan actividades culturales y se ofrece material informativo sobre la zona.
Este documento presenta un resumen de un libro sobre instrumentos jurídicos contra el crimen organizado. En la introducción, el autor describe el contexto de la preocupación creciente en México sobre la delincuencia organizada y los esfuerzos del gobierno para abordar este problema. Luego, el autor analiza las características de la delincuencia organizada y las respuestas jurídicas en varios países, incluidos Colombia, Estados Unidos, Francia, Italia y España. El objetivo es proporcionar información que pueda usarse para futuros estudios e investig
El documento resume las tecnologías del pasado y actuales en varias áreas como el transporte terrestre, marítimo y aéreo, las comunicaciones, la televisión, la radio, el teléfono, las computadoras, las cámaras fotográficas, la medicina y la salud, los automóviles y las diapositivas de almacenamiento. Describe cómo estas tecnologías han evolucionado de ser más primitivas, grandes y lentas a ser más avanzadas, pequeñas, rápidas y con mayores capacidades.
Tarea de estudio de suelos para el diseño de edificacionesRomm Mendeztriana
Este documento contiene 5 ejercicios resueltos relacionados con el cálculo de asentamientos y cargas permisibles en fundaciones. En el primer ejercicio se calculan las velocidades y espesores de estratos a partir de datos de una prospección geofísica. En el segundo ejercicio se determina el asentamiento de una fundación flexible circular. En el tercer ejercicio se calculan los asentamientos bajo esquinas y el centro de una losa rectangular. El cuarto ejercicio involucra encontrar valores de carga que produzcan menos de
What's New in Windows 7 Guide - ITpro.fi - riippumaton IT ...butest
This document provides a summary of new and changed features in Windows 7 of interest to IT professionals, including enhancements to security technologies like AppLocker and biometrics, improvements to deployment and management tools, and new networking features like DirectAccess and BranchCache. It covers changes to features such as Group Policy, certificates, virtual hard disks, and more. The document is copyrighted by Microsoft and intended to help IT professionals understand and utilize new capabilities in Windows 7.
The document provides information about wedding packages offered by the Apollonion Resort & Spa Hotel in Kefalonia, Greece. It describes three package levels (Standard, Gold, and Platinum) that include various amenities like venue rental, decorations, certificates, food and drinks. It also shares details about potential indoor and outdoor ceremony venues at the hotel's art gallery and outdoors, and photos of past weddings held at the locations.
Stone Dead Fashion is a ready-made garments/sportswear/jersey manufacturer. Our main products are all kinds of garments item like trousers, shorts, shirts, t-shirt, polo shirt, sweet shirts, Sportswear, Jersey, Cap, Hat and sweaters with all kinds of Fabrications. Our factory is located in Ashuliya, the biggest international small commodity city in Dhaka, Bangladesh. We've been in Apparel industry more than 12 years and we always offer products with good quality and competitive price. http://www.sdfltd.com
Este documento describe un suplemento dietético a base de frutas para la pérdida de peso y mejora de la piel, importado de China y vendido en Miami, Florida. El suplemento contiene ingredientes como papaya, limón, melón amargo, espirulina y noni, y promete resultados rápidos y seguros para bajar de peso sin dietas ni ejercicio. Se recomienda tomar una cápsula al día con agua tibia en ayunas para limpiar el estómago y descongestionar los intestinos.
Diseño web profesional y desarrollo de tiendas online en Leon - Madrid - VizcayaSinergia León
¿Quieres asesoramiento para crear tu tienda online profesional? En Merkasi desarrollamos aplicaciones de comercio electrónico a medida, y te asesoramos sobre como crear el plan de marketing online más adecuado para tu negocio. Aportamos soluciones de marketing, gestión de redes sociales, soluciones de hosting, campañas de publicidad en Adwords, asesoramiento sobre logística y exportación. .
Confía en un equipo profesional que te ayudará a crear un nuevo canal de ventas para tu negocio.
This document provides an overview of how social media such as blogs, wikis, Twitter, Facebook, and email can be used as teaching tools for mathematics. It discusses each tool, highlighting strategies for using them in math classes, such as setting up a class blog to explain concepts, using a wiki for collaboration, and creating a private Facebook group for students to discuss problems. The document also provides tips on including mathematical notation in these tools, such as using MathType software.
This document provides an introduction and background to a research project comparing two urban slums in Bangalore - Kariyammana Agrahara and Nagvar Palya. The project examines the impact of establishing Integrated Energy Centers (IECs), which are solar-powered community centers providing basic services, and artisanal livelihood initiatives. In Kariyammana Agrahara, SELCO Foundation successfully set up an IEC, while in Nagvar Palya they were unable to. The research aims to compare the profiles and effects of development initiatives in the two slums through interviews, observations and a survey. It outlines the methodology, challenges, partners involved including SELCO Foundation and Azim Premji University
Big Data Done Right by Successful OrganizationsEuro IT Group
The document discusses how several large companies like Amazon, Mastercard, Walmart, and Caesars are successfully using big data analytics. It provides examples of how these companies analyze purchasing patterns, social media posts, and other customer data to improve recommendations, inventory management, and personalized customer experiences. The document also outlines how big data can be applied across various industries like retail, healthcare, telecommunications, and more.
Digital transformation is the process of integrating digital technologies into all aspects of a business to meet changing market and business requirements. Key technologies that enable digital transformation include robotic process automation, cloud technologies, IoT, cybersecurity, blockchain, data, artificial intelligence, omnichannel experiences, and digital twins. Digital transformation is important for businesses to remain competitive and meet the needs of customers in the digital age.
Digital transformation is the process of integrating digital technologies into all aspects of a business to meet changing market and business requirements. Key technologies that enable digital transformation include robotic process automation, cloud technologies, IoT, cybersecurity, blockchain, data, artificial intelligence, omni-channel capabilities, and digital twins. Several Indian institutes offer programs focused on digital transformation strategies and leadership.
This document discusses how artificial intelligence is impacting marketing. It begins by defining artificial intelligence and how AI uses deep learning and data processing to perform tasks. AI is being used in marketing for data collection, analysis, and customized communications. The document then discusses how consumer behavior has changed with cognitive websites, increased customer loyalty through product recommendations, and changes in buying habits due to voice assistants. Businesses are changing their marketing strategies using AI, such as content-creating chatbots, find-and-replace tools, and asset recommendations. Examples are given of how Starbucks and Nike use AI for personalized experiences. The document concludes by discussing how COVID-19 will encourage more personalized shopping experiences using AI for marketing, targeting, and advertising.
How to use the power of data in e-Commerce? Applying the Big Data solutions makes it possible to analyse data in real time. This allows us to use the data not for reports only, but to translate them into action.
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Artificial intiligance in digital marketing.pdflaythaldaajah
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Is this the new way for the future and is Cognitive able to help marketers?
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Similar to Tailoring Next Best Offers (NBOs) using Real Time Big Data Analytics (20)
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
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https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
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https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
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2. A RESEARCH & DEVELOPMENT
(RND) PROJECT UNDER THE ABLE
GUIDANCE OF :
MR. SATISH KUMAR (TCS IT Analyst)
&
MR. RAHUL SHARMA (Prof. IT Dept.
AKGEC)
3. ABOUT THE ORGANISATION
• Founded – 1968
• Founder - J. R. D. Tata, F. C. Kohli.
• Indian Multinational information technology
(IT) service, consulting and business solutions.
• Headquartered in Mumbai, Maharashtra.
• It is a subsidiary of the Tata Group and
operates in 46 countries.
• World's 10th largest IT services provider.
4. • Listed in Fortune 500 company.
• TCS is one of the largest private sector employers in
India.
• In 2006, it designed an ERP system for the Indian
Railway Catering and Tourism Corporation.
• Revenue: US$16.54 billion (2016)
• Number of employees: 3,62,079 (June 2016)
• Services: IT, business consulting and outsourcing.
• Total assets: US$13.76 billion (2016)
9. About the Project
• Customers once relied on a familiar
salesperson to get the most customized deal.
• Today’s distracted consumers, bombarded
with information and options, often struggle
to find the products or services that will best
meet their needs.
• Poorly informed floor staff at many retailing
sites can’t replicate the personal touch that
shoppers once depended on.
10. • With the above view keeping in mind the
phenomenon of Customer Relationship
management (CRM) has largely come into
play.
• We analyzed a conceptual framework for
customer relationship management (CRM)
that helps broaden the understanding of CRM
and its role in enhancing customer value.
• Using granular data, from detailed
demographics and psychographics to
consumers’ click streams on the web.
11. • Right merchandise at the right moment, at the
right price and in the right channel known as the
Next Best Offers (NBOs).
• Considering Microsoft’s success with e-mail
offers for its search engine ‘Bing’. Those e-mails
are tailored to the recipient at the moment
they’re opened.
• In 200 milliseconds—analytics software
assembles an offer based on real-time
information about him or her that includes
location, age, gender, and online activity both
historical and immediately preceding, along with
the most recent responses of other customers.
12. • Consider Facebook, which maps consumer
habits on a real-time basis, 24 X 7.
• Every time a Facebook member posts a
comment, photo or event, or responds to a
comment, photo or event, Facebook logs that
data.
• In that manner, Facebook analysts determine
in a millisecond what users want to see, and
what they are interested in doing.
13. • How about eBay, and its Hunch-driven
recommendation service?
• The online retailer leverages Hunch’s “taste
graph” software-based consumer searches
and responses to advertising, to push
recommendations toward items based on
their individual shopping preferences.
14. • NBO has its origins in Amazon’s early use of
so-called recommendation software to spur
shoppers toward a “next best offer” based on
site page visits and, of course, actual
purchases.
15. • “Next best offer” is increasingly used to refer
to a proposal customized on the basis of the
consumer’s attributes and behaviors
(demographics, shopping history , etc).
• NBOs are most often designed to inspire a
purchase, drive loyalty, or both.
16. • The effectiveness of NBO’s can be seen by the
software company SAS’s statement - that
deployment of next best offer technology and
processes “is essential for gaining sustainable
competitive advantage and achieving
response rates as much as 10 times greater
than standard outbound promotions.”
17. • Many organizations flounder in their NBO
efforts not because they lack analytics
capability but because they lack clear
objectives.
• So the first question is, what do you want to
achieve? Increased revenues? Increased
customer loyalty? A greater share of wallet?
New customers?
18. • UK-based retailer Tesco has focused its NBO
strategy on increasing sales to regular
customers and enhancing loyalty with
targeted coupon offers delivered through its
Club card program.
• Tesco uses Club card to track which stores
customers visit, what they buy, and how they
pay.
19. • For example, Club card shoppers who buy
diapers for the first time at a Tesco store are
mailed coupons not only for baby wipes and
toys but also for beer.
• (Data analysis revealed that new fathers tend
to buy more beer, because they are spending
less time at the pub.)
20. • More recently, Tesco has experimented with
“flash sales” that as much as triple the
redemption value of certain Club card
coupons.
• A countdown mechanism shows how quickly
time or products are running out, building
tension and driving responses.
• Some of these offers have sold out in 90
minutes.
21. • As a result of its carefully crafted, creatively
executed offers, Tesco and its in-house consultant
achieve redemption rates ranging from 8% to
14% -- far higher than the 1% or 2% seen
elsewhere in the grocery industry.
• Microsoft had a very different set of objectives
for its Bing NBO:
• Getting new customers to try the service,
• Download it to their smart phones,
• Install the Bing search bar in their browsers &
• Make it their default search engine.
22. • Walmart.com purchases on the basis of their
social media interests.
• The apparel retailer H&M has partnered with
the online game “MyTown” to gather and use
information on customer location.
• If potential customers are playing the game on
a mobile device near an H&M store and check
in, H&M rewards them with virtual clothing
and points.
23. • Early results show that of 700,000 customers
who checked in online, 300,000 went into the
store and scanned an item.
• Many retailers focus on how to use
customer’s location information in real time;
where the customers have been can also
reveal a lot about them. In the United States
alone, mobile devices send about 600 billion
geospatially tagged data feeds.
24. • Technologies such as Hadoop and MapReduce
will be needed to integrate to existing
architecture.
• Appliances that integrate servers, networking
and storage into a single enclosure to run
analytical engines for near-real time
extraction of insights and information are
becoming popular.
25. • Real-time big data analytics (RTBDA) is a
ticket to improved sales, higher profits and
lower marketing costs.
• To others, it signals the dawn of a new era in
which machines begin to think and respond
more like humans.
• We aim at making computer systems more
close to the buyers in giving them those
desired choices, better called as “tailored
choices”.
26. • For an example, Twitter uses Storm to
identify trends in near real time.
• Let’s say that someone tweets that he’s going
snowboarding.
• Storm would help you figure out which ad
would be most appropriate for that person,
at just the right time.
27.
28.
29. REFERENCES
• Harvard Business Review- “ Know What Your Customers
Want before They Do” - by Thomas H. Davenport, Leandro
Dalle Mule, and John Lucker.
• “ Next Best Offer: Customer-Based Predictive Data’s New
Frontier ” by-Daphna Gal.
• www.cooladata.com/blog/next-best-offer-customer-based-
predictive-data-new-frontier.
• “The elements of data analytic style" by- Jeff Leek.
• “Hadoop-The Definitive Guide” by- Tom White.
• “Mining of massive data sets” by- Jure Leskovec, Anand
Rajaraman, & Jeff Ullman.
• Next-Best-Action- ‘The One to One Future’ by K.R. Sanjiv,
WiproTechnologies.
30. Thank you !
A presentation by:
Shubham Agarwal
(IT- 4th year)
(1302713097)