1) The document discusses predictive analytics and business intelligence in payments and commerce. It outlines models like Type 0 and Type A analytics engagement and critical success factors.
2) Mobile technology is converging and will be a key driver of growth, with payments initiated by mobile expected to outnumber plastic card transactions within 10 years.
3) The future of payments and business is focused on predictive, accessible analytics solutions and managing mobile and technology convergence.
The document discusses key topics in big data and analytics. It outlines (1) the importance of predictive and accessible analytics, (2) issues with current "Type 0" and "A" analytics models, and (3) critical success factors around talent, tangible outcomes, and trust ("T3") . It also examines the future of payments and how mobile is driving convergence. The use of big data and analytics can provide competitive advantages by institutionalizing these capabilities.
The document discusses data discovery and its role in helping organizations gain insights from data. It notes three key trends - agile analytics, big data, and data visualization. Data discovery fits within these trends by providing flexible tools for rapid analysis of diverse data sources and delivering insights visually. The document outlines the journey from data to results, noting that data discovery supports data acquisition, governance, quality, and analysis. It presents a cycle of analysis and provides an example for customer analytics. Key success factors for data discovery include goal-centricity, agility, fast iteration, and cross-functional collaboration.
The document discusses insurance business analytics and how it can provide actionable insights from internal insurance company data. It proposes a solution using a dimensional data model, ETL processes, and parameterized reporting to analyze key areas like premiums, channels, policies, and claims. Implementing such a system using pre-defined models and best-of-breed tools could provide benefits like faster implementation and eliminating the need to build custom solutions. The solution aims to help insurance companies better leverage and understand their data.
Insurance Outsourcing – Ensuring a Brighter Future - September 2011 Everest Group
Everest Group will highlight the findings of its reports on the insurance IT Application Outsourcing (AO) and insurance Business Process Outsourcing (BPO) market covering the following aspects:
1) Insurance outsourcing – Market size and growth: Define insurance outsourcing industry size, review growth trends, understand the key factors driving the growth of insurance outsourcing, and discuss the specific AO and BPO value propositions in light of these drivers
2) Key transaction and adoption trends in Insurance AO & Insurance BPO: Analyze the current IT-BP activity in the insurance sector covering ‘large, multi-year AO relationships’ within IT, and ‘insurance industry specific and non-voice BPO’
3) Emerging priorities and future outlook: Highlight themes that are influencing the sourcing priorities of global insurance majors; and discuss how these changes will impact the AO and BPO outsourcing landscape evolution in the future
The document discusses forensic analytics, which is defined as using data analysis coupled with forensic expertise to extract meaningful facts from data using technology and knowledge. Forensic analytics in an organization involves both proactive and reactive cases, applying knowledge to identify control gaps and interpret summarized information and data. It requires collecting both structured and unstructured data from multiple sources, fusing the data using tools to transform and integrate it, then applying forensic analytics techniques like rules-based detection and statistical modeling to identify anomalies, threats, previously unknown patterns, and derive context.
The document discusses key topics in big data and analytics. It outlines (1) the importance of predictive and accessible analytics, (2) issues with current "Type 0" and "A" analytics models, and (3) critical success factors around talent, tangible outcomes, and trust ("T3") . It also examines the future of payments and how mobile is driving convergence. The use of big data and analytics can provide competitive advantages by institutionalizing these capabilities.
The document discusses data discovery and its role in helping organizations gain insights from data. It notes three key trends - agile analytics, big data, and data visualization. Data discovery fits within these trends by providing flexible tools for rapid analysis of diverse data sources and delivering insights visually. The document outlines the journey from data to results, noting that data discovery supports data acquisition, governance, quality, and analysis. It presents a cycle of analysis and provides an example for customer analytics. Key success factors for data discovery include goal-centricity, agility, fast iteration, and cross-functional collaboration.
The document discusses insurance business analytics and how it can provide actionable insights from internal insurance company data. It proposes a solution using a dimensional data model, ETL processes, and parameterized reporting to analyze key areas like premiums, channels, policies, and claims. Implementing such a system using pre-defined models and best-of-breed tools could provide benefits like faster implementation and eliminating the need to build custom solutions. The solution aims to help insurance companies better leverage and understand their data.
Insurance Outsourcing – Ensuring a Brighter Future - September 2011 Everest Group
Everest Group will highlight the findings of its reports on the insurance IT Application Outsourcing (AO) and insurance Business Process Outsourcing (BPO) market covering the following aspects:
1) Insurance outsourcing – Market size and growth: Define insurance outsourcing industry size, review growth trends, understand the key factors driving the growth of insurance outsourcing, and discuss the specific AO and BPO value propositions in light of these drivers
2) Key transaction and adoption trends in Insurance AO & Insurance BPO: Analyze the current IT-BP activity in the insurance sector covering ‘large, multi-year AO relationships’ within IT, and ‘insurance industry specific and non-voice BPO’
3) Emerging priorities and future outlook: Highlight themes that are influencing the sourcing priorities of global insurance majors; and discuss how these changes will impact the AO and BPO outsourcing landscape evolution in the future
The document discusses forensic analytics, which is defined as using data analysis coupled with forensic expertise to extract meaningful facts from data using technology and knowledge. Forensic analytics in an organization involves both proactive and reactive cases, applying knowledge to identify control gaps and interpret summarized information and data. It requires collecting both structured and unstructured data from multiple sources, fusing the data using tools to transform and integrate it, then applying forensic analytics techniques like rules-based detection and statistical modeling to identify anomalies, threats, previously unknown patterns, and derive context.
OLAP (Online Analytical Processing) allows for fast analysis of shared multidimensional information. It provides users with the ability to quickly answer analytical queries involving multiple dimensions of data. OLAP employs a multidimensional data model that represents information as cubes with dimensions and measures, enabling complex ad hoc queries with rapid execution.
The document introduces Hypothesis Based Testing (HBT) as a goal-focused methodology for software validation that consists of six stages of "doing" powered by eight thinking disciplines, with an emphasis on understanding expectations, context, and formulating hypotheses about potential defects early in order to prove they will not exist. HBT is described as being centered around the goal of delivering clean software rather than activities, and is powered by a defect detection technique called STEM (STAG Test Engineering Method) that provides a scientific basis through 32 core concepts.
This document discusses how organizations can harness big data as a game changing asset. It begins by setting the context on the impact of big data and how the volume of digital information is growing exponentially. It then covers analytical layers for deriving value from big data, including the data layer, emerging trends in real analytics, and shifting the focus from hindsight to foresight. Two case studies from India are presented on applying analytics in retail and HR. Finally, it discusses how big data is changing the paradigm for analytics by enabling closer monitoring, simulation and optimization. Harnessing big data requires asking focused questions to solve specific business problems.
The document discusses how Forrester Research can help Omnicom agencies in three key areas: 1) Winning new business by validating proposals and demonstrating thought leadership; 2) Enhancing client engagement and retention through strategy sessions and custom data; 3) Guiding agency strategy and development with boardroom discussions and emerging trends analysis. Forrester offers global research reports, consulting services, and proprietary consumer data to support agencies.
IBM Business Analytics and Optimization - Introduktion till Prediktiv AnalysIBM Sverige
This document introduces predictive analytics and how it can improve decision making. It discusses how predictive analytics uses historical data patterns to make accurate predictions about current conditions and future events. This allows decisions to be made based on evidence rather than intuition. Examples are given of how predictive analytics has been used to reduce costs, increase sales and reduce customer churn. The document also outlines how IBM SPSS predictive software links different data sources into intelligence that can be used to target marketing campaigns, optimize product mix decisions and conduct proactive customer retention efforts.
Data informed content strategy (1) clare o'brien - confabClare O'Brien
The document discusses how data-informed content strategy can provide insights. It explains that a wide range of data sources like surveys, analytics, and qualitative research can be used, but the data needs to be analyzed and synthesized to develop insights rather than just looking at individual data points. Case studies are presented showing how analyzing click data, surveys, and search keywords can inform content changes that improve metrics like conversion rates. The document advocates taking a fluid, iterative approach to using data insights to continually improve content relevancy, structure, and user experience.
This document discusses Nielsen Consulting's research-led strategy development services. It notes that clients seek a "translation layer" to help apply insights from vast research data to business problems. Nielsen Consulting serves this role by collaborating with clients to identify key issues, provide customized solutions using multiple data sets, and help form responsive strategies. This consultative approach helps mitigate risks of misinterpreting data and reduces the chance strategies will be misguided.
Advocate Networks is a management consulting and managed services firm founded in 2001 with $10M in annual revenue and over 50 professionals. They specialize in global communications and data center consulting, and have long-term relationships with over 300 clients across industries. Their services include communications and data center assessments, strategic sourcing, implementation, and ongoing management.
IBM Cognos - Vad handlar egentligen prediktiv analys om?IBM Sverige
This document provides a 3-paragraph summary of an IBM performance event about predictive analytics:
Paragraph 1 introduces predictive analytics and how it can help decision makers predict things like infection in newborns, credit line adjustments, customer purchases, and social relationships to prevent customer churn.
Paragraph 2 describes how predictive analytics can optimize transactions, processes, and decisions in real-time using data and predictive models, and how it helps everyone make better decisions rather than just analytical experts.
Paragraph 3 gives examples of how a telecommunications company uses predictive analytics to proactively target at-risk customers and determine the best retention offers to reduce churn.
The C-level executives are puzzled rightfully, why CDI projects are so complex, time consuming and too expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the maturity level at present of CDI/MDM technologies. It is in this context that this paper makes an attempt to provide a direction with golden rules [Best Practices], distilled with years of experience to smoothen any CDI implementation.
Objectives:
1) Discuss the challenges associated with customer data management
2) Present the Best Practices in managing the customer data
3) Discuss the importance of Data Quality and Data Governance
For white paper which has more detailed information of this presentation, please send an email. Email address is listed in the last slide of this presentation.
This infographic includes statistics on overall patient adherence, key factors for non-ahderence, and what steps pharmaceutical companies can take to increase adherent behavior.
Big data cognitive computing and digital transformationPietro Leo
Big Data + Analytics + Cognitive Computing + New Business Models + HUMANS! =
rumbling around the digital transformation phenomena that is impacting our jobs.
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
1. The document discusses using price elasticity in insurance pricing models to optimize prices and profits while staying within regulatory guidelines.
2. It describes how European insurers have benefited from explicitly incorporating price elasticity, while US insurers commonly make "intuition-led" pricing decisions that are implicitly motivated by elasticity concepts.
3. The author argues that insurance pricing could be improved by taking a more scientific approach to incorporating price elasticity data, lifetime customer value, and other factors beyond pure loss costs.
Fractal analytics measuring, evaluating and predicting the social consumerFractal Analytics
This document is a presentation by Rebecca Schlachter of Fractal Analytics on April 25, 2012 in San Francisco, California about social media and web analytics innovation. It discusses how Fractal Analytics helps Fortune 500 companies build analytic solutions to understand consumer behavior, improve marketing and business performance, and make data-driven decisions. The document and its contents are proprietary and confidential to Fractal Analytics.
The document discusses several emerging healthcare technology markets including healthcare IT integration, healthcare analytics, health information exchange, and telehealth services. It provides an overview of each market including key factors driving and inhibiting growth, market segmentation, prominent players, and market forecasts. The largest market discussed is healthcare analytics, which is valued at $4.43 billion in 2013 and expected to reach $21.35 billion by 2020 growing at a 25.2% CAGR.
Visualization tools provide flexible reports and dashboards based on predefined data models for occasional and business users. Data mining discovers immediate key business insights through intuitive techniques by analyzing raw data for analysts and power users. Expert mathematicians and statisticians develop accurate predictive models for core business issues using statistical algorithms.
Monitor activity dashboard and georrefered analysisEsri
I. This document describes a project to create a dashboard and georeferenced analysis tools for a police organization in Barcelona, Spain to monitor activity across the city's districts and neighborhoods.
II. The solution integrated different data systems, created a data warehouse, developed dimensional models, and built dashboards and maps to provide visibility, predictive analysis, and self-service reporting across the organization to improve decision making and resource allocation.
III. Key benefits included more proactive policing, increased responsiveness, better quality decisions, and cost reductions through electronic records and analysis replacing physical records and manual processes.
The New Normal: Predictive Power on the Front LinesInside Analysis
The Briefing Room with Mike Ferguson and Alteryx
Live Webcast on Feb. 12, 2013
Today's savvy organizations know that a streamlined approach to data and applications can put the power of predictive analytics right where it needs to be: in the hands of the user. Sure, training is still required, but a real revolution is underway for the graphic design of such user interfaces. Central to this overhaul of design is the concept of intelligent, simple workflow, which enables users to get things done in an orderly fashion.
Check out the slides for this episode of The Briefing Room to hear analyst Mike Ferguson of Intelligent Business Strategies as he explains why interface design and workflow must go hand-in-hand. He will be briefed by Matt Madden of Alteryx, who will tout his company’s predictive platform, a solution that leverages an array of traditional and Big Data analytics applications, designed for problem solvers and decision makers. Madden will also provide several customer use cases that demonstrate the new normal in predictive analytics.
Prinya acis slide for swpark - it & information security human resource deve...TISA
1. The document discusses top strategic technology areas from 2009 to 2011 according to Gartner, including virtualization, cloud computing, mobile applications, social media, and analytics.
2. It also highlights some of Gartner's predictions for IT organizations and users from 2010 to 2015, such as more people accessing the internet via mobile than PC, and context becoming as influential to mobile services as search is to the web.
3. The final section discusses integrated governance, risk management, and compliance implementation, as well as IT service management, business continuity management, regulatory compliance, information security awareness training, and emerging technologies like cloud, virtualization, and social/mobile.
OLAP (Online Analytical Processing) allows for fast analysis of shared multidimensional information. It provides users with the ability to quickly answer analytical queries involving multiple dimensions of data. OLAP employs a multidimensional data model that represents information as cubes with dimensions and measures, enabling complex ad hoc queries with rapid execution.
The document introduces Hypothesis Based Testing (HBT) as a goal-focused methodology for software validation that consists of six stages of "doing" powered by eight thinking disciplines, with an emphasis on understanding expectations, context, and formulating hypotheses about potential defects early in order to prove they will not exist. HBT is described as being centered around the goal of delivering clean software rather than activities, and is powered by a defect detection technique called STEM (STAG Test Engineering Method) that provides a scientific basis through 32 core concepts.
This document discusses how organizations can harness big data as a game changing asset. It begins by setting the context on the impact of big data and how the volume of digital information is growing exponentially. It then covers analytical layers for deriving value from big data, including the data layer, emerging trends in real analytics, and shifting the focus from hindsight to foresight. Two case studies from India are presented on applying analytics in retail and HR. Finally, it discusses how big data is changing the paradigm for analytics by enabling closer monitoring, simulation and optimization. Harnessing big data requires asking focused questions to solve specific business problems.
The document discusses how Forrester Research can help Omnicom agencies in three key areas: 1) Winning new business by validating proposals and demonstrating thought leadership; 2) Enhancing client engagement and retention through strategy sessions and custom data; 3) Guiding agency strategy and development with boardroom discussions and emerging trends analysis. Forrester offers global research reports, consulting services, and proprietary consumer data to support agencies.
IBM Business Analytics and Optimization - Introduktion till Prediktiv AnalysIBM Sverige
This document introduces predictive analytics and how it can improve decision making. It discusses how predictive analytics uses historical data patterns to make accurate predictions about current conditions and future events. This allows decisions to be made based on evidence rather than intuition. Examples are given of how predictive analytics has been used to reduce costs, increase sales and reduce customer churn. The document also outlines how IBM SPSS predictive software links different data sources into intelligence that can be used to target marketing campaigns, optimize product mix decisions and conduct proactive customer retention efforts.
Data informed content strategy (1) clare o'brien - confabClare O'Brien
The document discusses how data-informed content strategy can provide insights. It explains that a wide range of data sources like surveys, analytics, and qualitative research can be used, but the data needs to be analyzed and synthesized to develop insights rather than just looking at individual data points. Case studies are presented showing how analyzing click data, surveys, and search keywords can inform content changes that improve metrics like conversion rates. The document advocates taking a fluid, iterative approach to using data insights to continually improve content relevancy, structure, and user experience.
This document discusses Nielsen Consulting's research-led strategy development services. It notes that clients seek a "translation layer" to help apply insights from vast research data to business problems. Nielsen Consulting serves this role by collaborating with clients to identify key issues, provide customized solutions using multiple data sets, and help form responsive strategies. This consultative approach helps mitigate risks of misinterpreting data and reduces the chance strategies will be misguided.
Advocate Networks is a management consulting and managed services firm founded in 2001 with $10M in annual revenue and over 50 professionals. They specialize in global communications and data center consulting, and have long-term relationships with over 300 clients across industries. Their services include communications and data center assessments, strategic sourcing, implementation, and ongoing management.
IBM Cognos - Vad handlar egentligen prediktiv analys om?IBM Sverige
This document provides a 3-paragraph summary of an IBM performance event about predictive analytics:
Paragraph 1 introduces predictive analytics and how it can help decision makers predict things like infection in newborns, credit line adjustments, customer purchases, and social relationships to prevent customer churn.
Paragraph 2 describes how predictive analytics can optimize transactions, processes, and decisions in real-time using data and predictive models, and how it helps everyone make better decisions rather than just analytical experts.
Paragraph 3 gives examples of how a telecommunications company uses predictive analytics to proactively target at-risk customers and determine the best retention offers to reduce churn.
The C-level executives are puzzled rightfully, why CDI projects are so complex, time consuming and too expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the maturity level at present of CDI/MDM technologies. It is in this context that this paper makes an attempt to provide a direction with golden rules [Best Practices], distilled with years of experience to smoothen any CDI implementation.
Objectives:
1) Discuss the challenges associated with customer data management
2) Present the Best Practices in managing the customer data
3) Discuss the importance of Data Quality and Data Governance
For white paper which has more detailed information of this presentation, please send an email. Email address is listed in the last slide of this presentation.
This infographic includes statistics on overall patient adherence, key factors for non-ahderence, and what steps pharmaceutical companies can take to increase adherent behavior.
Big data cognitive computing and digital transformationPietro Leo
Big Data + Analytics + Cognitive Computing + New Business Models + HUMANS! =
rumbling around the digital transformation phenomena that is impacting our jobs.
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
1. The document discusses using price elasticity in insurance pricing models to optimize prices and profits while staying within regulatory guidelines.
2. It describes how European insurers have benefited from explicitly incorporating price elasticity, while US insurers commonly make "intuition-led" pricing decisions that are implicitly motivated by elasticity concepts.
3. The author argues that insurance pricing could be improved by taking a more scientific approach to incorporating price elasticity data, lifetime customer value, and other factors beyond pure loss costs.
Fractal analytics measuring, evaluating and predicting the social consumerFractal Analytics
This document is a presentation by Rebecca Schlachter of Fractal Analytics on April 25, 2012 in San Francisco, California about social media and web analytics innovation. It discusses how Fractal Analytics helps Fortune 500 companies build analytic solutions to understand consumer behavior, improve marketing and business performance, and make data-driven decisions. The document and its contents are proprietary and confidential to Fractal Analytics.
The document discusses several emerging healthcare technology markets including healthcare IT integration, healthcare analytics, health information exchange, and telehealth services. It provides an overview of each market including key factors driving and inhibiting growth, market segmentation, prominent players, and market forecasts. The largest market discussed is healthcare analytics, which is valued at $4.43 billion in 2013 and expected to reach $21.35 billion by 2020 growing at a 25.2% CAGR.
Visualization tools provide flexible reports and dashboards based on predefined data models for occasional and business users. Data mining discovers immediate key business insights through intuitive techniques by analyzing raw data for analysts and power users. Expert mathematicians and statisticians develop accurate predictive models for core business issues using statistical algorithms.
Monitor activity dashboard and georrefered analysisEsri
I. This document describes a project to create a dashboard and georeferenced analysis tools for a police organization in Barcelona, Spain to monitor activity across the city's districts and neighborhoods.
II. The solution integrated different data systems, created a data warehouse, developed dimensional models, and built dashboards and maps to provide visibility, predictive analysis, and self-service reporting across the organization to improve decision making and resource allocation.
III. Key benefits included more proactive policing, increased responsiveness, better quality decisions, and cost reductions through electronic records and analysis replacing physical records and manual processes.
The New Normal: Predictive Power on the Front LinesInside Analysis
The Briefing Room with Mike Ferguson and Alteryx
Live Webcast on Feb. 12, 2013
Today's savvy organizations know that a streamlined approach to data and applications can put the power of predictive analytics right where it needs to be: in the hands of the user. Sure, training is still required, but a real revolution is underway for the graphic design of such user interfaces. Central to this overhaul of design is the concept of intelligent, simple workflow, which enables users to get things done in an orderly fashion.
Check out the slides for this episode of The Briefing Room to hear analyst Mike Ferguson of Intelligent Business Strategies as he explains why interface design and workflow must go hand-in-hand. He will be briefed by Matt Madden of Alteryx, who will tout his company’s predictive platform, a solution that leverages an array of traditional and Big Data analytics applications, designed for problem solvers and decision makers. Madden will also provide several customer use cases that demonstrate the new normal in predictive analytics.
Prinya acis slide for swpark - it & information security human resource deve...TISA
1. The document discusses top strategic technology areas from 2009 to 2011 according to Gartner, including virtualization, cloud computing, mobile applications, social media, and analytics.
2. It also highlights some of Gartner's predictions for IT organizations and users from 2010 to 2015, such as more people accessing the internet via mobile than PC, and context becoming as influential to mobile services as search is to the web.
3. The final section discusses integrated governance, risk management, and compliance implementation, as well as IT service management, business continuity management, regulatory compliance, information security awareness training, and emerging technologies like cloud, virtualization, and social/mobile.
Datamine provides data-intensive information technology solutions & services for Telecoms, Banking & Retail industry. Our offering answers the needs of modern management for analytics, process insight, business & market intelligence.
This document outlines Oracle's product direction for driving management excellence through its EPM&BI solutions. It discusses Oracle's framework for achieving management excellence, which includes rationalizing management systems, integrating systems with operational systems, and sharing insights across the extended enterprise. The document also summarizes Oracle's capabilities for complete, open, and integrated performance management and business intelligence.
This document outlines Oracle's product direction for driving management excellence through its EPM&BI solutions. It discusses Oracle's framework for achieving management excellence, which includes rationalizing management systems, integrating systems with operational systems, and sharing insights across the extended enterprise. The document also summarizes Oracle's complete, open, and integrated capabilities for performance management and business intelligence.
Agile BI : meeting the best of both worlds from departmental and enterprise BIJean-Michel Franco
The document discusses the need for business intelligence (BI) to evolve from a process-centric IT function to an information-centric service that empowers all users within an organization. It argues that BI must adopt agile methodologies to quickly deliver intelligence to both occasional and advanced users. The document presents a case study of Sanofi Pasteur, which implemented a new hybrid BI architecture and agile development approach to accelerate time-to-value, gain higher user acceptance, and increase the number of prototype projects launched each year.
At Pivotal, our mission is to enable customers to build a new class of applications, leveraging big and fast data, and do all of this with the power of cloud-independence. Pivotal Big Data Analytics is central to this major transformation.
This document discusses Oracle's Exadata database machine and how it addresses challenges related to processing large amounts of data from various sources. It provides an overview of Exadata's architecture and software innovations that allow it to intelligently manage data and offload processing tasks. Examples are given of how Exadata provides faster and more scalable performance compared to traditional systems. Customer cases studies show how Exadata has helped organizations reduce costs, improve availability and support increasing data volumes and analytics workloads.
Information is the principle driver of competitive advantage. How it is collected, analysed and communicated determines our success. No single resource is more critical to organisational survival.
The amount of data in the world is exponentially increasing, to a point where companies capture significant amounts of information about their customers, suppliers, and operations. Millions of networked sensors are being embedded in everything from mobile phones to cars. Social networks and location data from mobile devices will continue to fuel this exponential data growth. These huge data pools are commonly being referred to as "big data".
This talk examines how analytics and big data are exploiting information to drive competitive advantage.
Today's bi and data mining ecosystem v2Josep Arroyo
Visualization tools provide predefined reports and dashboards based on a data model to distribute to users, allowing flexible visualization of data through tools like sales per region. Visual Data Mining analyzes raw data to obtain immediate insights through intuitive techniques like customer churn prediction. Data Mining develops accurate predictive models for issues like fraud and risks that are managed by expert statisticians using algorithms and data engineering.
Modernizing Your IT Infrastructure with Hadoop - Cloudera Summer Webinar Seri...Cloudera, Inc.
You will also learn how to understand key challenges when deploying a Hadoop cluster in production, manage the entire Hadoop lifecycle using a single management console, deliver integrated management of the entire cluster to maximize IT and business agility.
SAS Customer Analytics for Insurance delivers specific analytical techniques to help you understand and drive decisions related to customer profitability. The solution enables you to segment customers according to a multitude of variables – including demographics, geographics, claims history and other behavioral attributes – to create more meaningful and targeted marketing programs that lead to improved retention rates.
Focus is on understanding Information Professionals and how they connect with solution providers.
This was presented at the Document Management Solution Providers Executive Forum (http://www.aiim.org/dmspef).
The document discusses SAS Insurance Analytics Architecture, which provides a solution for insurers' business intelligence and analytical requirements. It addresses challenges from siloed and inconsistent data by creating a single data model and implementing data integration and quality tools. The architecture supports various business processes and provides reporting, visualization, and predictive analytics capabilities to help insurers make better decisions.
The document is an issue of the SAP Executive Insight Paper that discusses how real-time analytics are enabling high-resolution management by removing bottlenecks, rethinking businesses, and driving innovative products and services through granular insights. It provides an overview of SAP's database and analytics strategies and products, including predictive analysis and SAP HANA, and how customers are using these technologies to transform industries and business models. The paper also includes a tool to assess readers' business intelligence strategies and highlights upcoming SAP events.
Designing Big Data Interactions: The Language of DiscoveryOReillyStrata
Looking deeper than the celebratory rhetoric of information quantity, at its core, Big Data makes possible unprecedented awareness and insight into every sphere of life; from business and politics, to the environment, arts and society. In this coming Age of Insight, ‘discovery’ is not only the purview of specialized Data Scientists who create exotic visualizations of massive data sets, it is a fundamental category of human activity that is essential to everyday interactions between people, resources, and environments.
To provide architects and designers with an effective starting point for creating satisfying and relevant user experiences that rely on discovery interactions, this session presents a simple analytical and generative toolkit for understanding how people conduct the broad range of discovery activities necessary in the information-permeated world.
Specifically, this session will present: • A simple, research-derived language for describing discovery needs and activities that spans domains, environments, media, and personas • Observed and reusable patterns of discovery activities in individual and collaborative settings • Examples of the architecture of successful discovery experiences at small and large scales • A vocabulary and perspective for discovery as a critical individual and organizational capability • Leading edge examples from the rapidly emerging space of applied discovery • Design futures and concepts exploring the possible evolution paths of discovery interactions
Designing Big Data Interactions Using the Language of DiscoveryJoe Lamantia
Looking deeper than the celebratory rhetoric of information quantity, at its core, Big Data makes possible unprecedented awareness and insight into every sphere of life; from business and politics, to the environment, arts and society. In this coming Age of Insight, ‘discovery’ is not only the purview of specialized Data Scientists who create exotic visualizations of massive data sets, it is a fundamental category of human activity that is essential to everyday interactions between people, resources, and environments.
To provide architects and designers with an effective starting point for creating satisfying and relevant user experiences that rely on discovery interactions, this session presents a simple analytical and generative toolkit for understanding how people conduct the broad range of discovery activities necessary in the information-permeated world.
Specifically, this session will present: • A simple, research-derived language for describing discovery needs and activities that spans domains, environments, media, and personas • Observed and reusable patterns of discovery activities in individual and collaborative settings • Examples of the architecture of successful discovery experiences at small and large scales • A vocabulary and perspective for discovery as a critical individual and organizational capability • Leading edge examples from the rapidly emerging space of applied discovery • Design futures and concepts exploring the possible evolution paths of discovery interactions
Partner Activ8 are leaders in harnessing the value hidden in people data using a sophisticated database and analytics in the cloud.
Synapse captures the people data found in operational systems such as Resource Management and Capacity Planning.
Combining these two types of leads to very powerful new insights:
• Are my best people working on the highest value/risk projects in my portfolio?
• Which of these resources are most likely to leave in the next 6 months?
• How is the absence rate correlated to current Portfolios, Programmes, Projects and Managers?
• What will be the predicted financial impact of this in these Portfolios in the next 12 months?
Synapse is able to direct a ‘stream’ of new operational data into the Activ8 system and provide these and many more answers.
Similar to Predictive Analytics Innovation Summit (20)
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.