This document discusses the importance of data quality and outlines E-Outsource Asia's data quality services. It notes that poor quality data costs businesses billions annually. E-Outsource Asia uses SAS Data Quality software to profile, cleanse, and standardize data. Their services include data audits, profiling, matching, and incorporating local knowledge into processing. E-Outsource Asia aims to help organizations improve data quality and decision making through these services.
The document discusses how investing in data quality can provide a significant return on investment for companies. It outlines five tenets that leading companies embrace to realize this ROI from quality data: 1) view data quality as a business issue, not just an IT issue, 2) establish an explicit data governance strategy, especially at the point of data entry, 3) use a third-party data provider to consolidate and cleanse data, 4) address the challenge of maintaining accurate data given the rapid rate of data changes, and 5) strive for a 360-degree view of customers and suppliers across the organization.
- Customer data management is important to understand customers better and improve service, but traditional data management tools create siloed and inconsistent data.
- NexJ Customer Data Management provides an "Enterprise Customer View" that integrates customer data from multiple sources to create a holistic understanding of each customer.
- This unified view of customer data can be used across an organization to drive digital transformation initiatives, enhance customer insights, and meet compliance requirements.
Understanding the DSR Market looks at the differences between a team and enterprise solution for handling multiple data sources in the consumer goods industry.
The document discusses best practices for data governance. It recommends establishing a data governance framework that defines common terminology, hierarchies, and change management processes. It also emphasizes integrating applications like ERP, EPM, BI, and data warehouses by mapping data relationships and dimensions in a centralized data governance solution. This enables a single version of truth and reduces data reconciliation work across various systems.
This presentation reports on data governance best practices. Based on a definition of fundamental terms and the business rationale for data governance, a set of case studies from leading companies is presented. The content of this presentation is a result of the Competence Center Corporate Data Quality (CC CDQ) at the University of St. Gallen, Switzerland.
The document provides guidance on ensuring data quality in CRM and marketing automation solutions. It discusses the four main components of bad data: incorrect information, inaccurate information, missing information, and duplicate data. It then covers analyzing the state of one's database, cleaning data through standardization, duplicate removal, and completing missing data, and protecting data going forward through validation and prevention of duplicates entering the system. The goal is to have high quality, clean data to improve marketing and sales efforts.
The document discusses how organizations are facing challenges managing the growing amounts of data and information from various sources. This includes extracting insights from large amounts of structured and unstructured content across the enterprise. It also talks about the need to connect people and processes to improve collaboration, decision making and customer service. New approaches to enterprise information management are needed to gain control of data, drive business optimization and enable organizations to adapt quickly to changes.
Data quality is important for business success. This document outlines a 6-step approach to measuring data quality ROI: 1) Inventory systems relying on data, 2) Determine data quality rules, 3) Profile data to measure rule compliance, 4) Score each rule and system, 5) Measure impact of improved data quality, 6) Implement improvements. The approach is demonstrated by analyzing a targeted marketing system and identifying areas of non-compliance to improve data quality and ROI.
The document discusses how investing in data quality can provide a significant return on investment for companies. It outlines five tenets that leading companies embrace to realize this ROI from quality data: 1) view data quality as a business issue, not just an IT issue, 2) establish an explicit data governance strategy, especially at the point of data entry, 3) use a third-party data provider to consolidate and cleanse data, 4) address the challenge of maintaining accurate data given the rapid rate of data changes, and 5) strive for a 360-degree view of customers and suppliers across the organization.
- Customer data management is important to understand customers better and improve service, but traditional data management tools create siloed and inconsistent data.
- NexJ Customer Data Management provides an "Enterprise Customer View" that integrates customer data from multiple sources to create a holistic understanding of each customer.
- This unified view of customer data can be used across an organization to drive digital transformation initiatives, enhance customer insights, and meet compliance requirements.
Understanding the DSR Market looks at the differences between a team and enterprise solution for handling multiple data sources in the consumer goods industry.
The document discusses best practices for data governance. It recommends establishing a data governance framework that defines common terminology, hierarchies, and change management processes. It also emphasizes integrating applications like ERP, EPM, BI, and data warehouses by mapping data relationships and dimensions in a centralized data governance solution. This enables a single version of truth and reduces data reconciliation work across various systems.
This presentation reports on data governance best practices. Based on a definition of fundamental terms and the business rationale for data governance, a set of case studies from leading companies is presented. The content of this presentation is a result of the Competence Center Corporate Data Quality (CC CDQ) at the University of St. Gallen, Switzerland.
The document provides guidance on ensuring data quality in CRM and marketing automation solutions. It discusses the four main components of bad data: incorrect information, inaccurate information, missing information, and duplicate data. It then covers analyzing the state of one's database, cleaning data through standardization, duplicate removal, and completing missing data, and protecting data going forward through validation and prevention of duplicates entering the system. The goal is to have high quality, clean data to improve marketing and sales efforts.
The document discusses how organizations are facing challenges managing the growing amounts of data and information from various sources. This includes extracting insights from large amounts of structured and unstructured content across the enterprise. It also talks about the need to connect people and processes to improve collaboration, decision making and customer service. New approaches to enterprise information management are needed to gain control of data, drive business optimization and enable organizations to adapt quickly to changes.
Data quality is important for business success. This document outlines a 6-step approach to measuring data quality ROI: 1) Inventory systems relying on data, 2) Determine data quality rules, 3) Profile data to measure rule compliance, 4) Score each rule and system, 5) Measure impact of improved data quality, 6) Implement improvements. The approach is demonstrated by analyzing a targeted marketing system and identifying areas of non-compliance to improve data quality and ROI.
Ultimate Software provides three key benefits of selecting its SaaS solution for human capital management:
1. It provides in-house control over HR functions while outsourcing the maintenance and upgrades to Ultimate Software, reducing the need for dedicated in-house IT resources.
2. Companies see a return on their investment through lower upfront costs compared to licensed software, increased efficiency of HR processes, and freeing up HR staff time to focus on strategic initiatives.
3. Customers benefit from industry-leading security of their employee data hosted in Ultimate Software's secure data centers, as well as always having the latest version of UltiPro software without needing to manage upgrades themselves.
Datavibes is an exclusive BI solutions provider that helps companies improve business performance through data collection, aggregation, integration, visualization and interpretation. The document outlines Datavibes' values of being responsive, responsible, reliable, respectful and achieving the highest ROI for stakeholders. It also provides examples of Datavibes' work with clients like Merrill Lynch, PNC Financial Services, ServiceLink and Nestle to develop reporting, risk management and analytics solutions.
Dun and Bradstreet is a firm that collects and publishes financial and corporate data on over 80 million public and private companies worldwide. It offers clients services to assess creditworthiness of potential customers, find and evaluate customer leads, select potential suppliers, and facilitate supplier negotiations. These services power business decisions in areas like credit management, sales and marketing, and supply chain management.
The document discusses how in-memory computing and SAP HANA can help aerospace and defense companies manage big data and gain business insights. It provides examples of how HANA allows for real-time analysis of large data volumes to improve decision making in areas like program management, manufacturing, supply chain planning and aftermarket services. The document advocates for an on-site HANA Value Workshop to help companies assess HANA fit, identify potential use cases, and build a business case for how HANA can deliver value by enabling analysis of all relevant data sources.
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
This document discusses how business intelligence (BI) can help hospitality companies by integrating information. BI involves analyzing data that companies already collect on customers, operations, and competitors to provide insights. It allows companies to quickly address problems, take advantage of opportunities, and improve operations. While BI can boost profits and efficiency, hospitality companies face challenges in implementing it like dispersed data sources and a need to integrate systems. The document describes how one hotel franchise works with Cognizant to develop data cleansing processes to ensure accurate information for effective BI.
The document discusses how poor data quality can negatively impact marketing ROI and provides strategies for addressing data quality issues. It suggests enhancing CRM data through data cleaning and integration with external sources to improve customer targeting, segmentation, and campaign analysis. Regular data maintenance is important to reduce costs from data issues and maximize returns from sales and marketing databases.
Unlocking Success in the 3 Stages of Master Data ManagementPerficient, Inc.
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
This document summarizes the capabilities of DatknoSys, a company that provides business intelligence and analytics solutions. They analyze internal and external data to provide insights and recommendations to help clients make informed business decisions. Their platform integrates data from various sources and uses visualization dashboards, reporting, and data mining tools to analyze key metrics and identify opportunities. This helps customers optimize strategies, improve decision making, manage costs and risks, and gain a competitive advantage through data-driven insights.
Data Sciences & Analytics Discover the unknown power of the knownYASH Technologies
Our data science’s and analytics’ competency accelerates the data-driven decision making process and empowers you with capabilities that will guide you in deriving deeper insights. We can transform your business into a more nimble and connected organisation through our extensive portfolio
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this session to learn key metrics and steps you can take to kickstart a data quality strategy.
SAS was founded in 1976 and is headquartered in Cary, North Carolina. It provides software for business intelligence, analytics, and data management. SAS has over 11,000 employees worldwide and annual revenue of over $3 billion. It prides itself on high-quality software and excellent customer service.
This document discusses how companies can become insights-driven organizations by transitioning from simply being data-driven. It identifies three key capabilities needed to make this transition: making data management and analytics more agile and flexible; finding insights based on all available enterprise data; and ensuring data insights are contextual, actionable, and pervasive. Specific strategies are described for each capability, such as adopting new data management technologies like data lakes to improve agility, and creating cross-functional insights teams to make insights a collaborative effort. The value of becoming insights-driven is also highlighted, noting they experience significantly higher revenue growth compared to non-insights-driven firms.
InfoDataSphere is a growth enablement partner that offers various data and marketing services. They have over 7 years of experience in the industry and work with top data vendors and Fortune 100 companies. Their services include data management, email campaigns, appending missing contact details, and more. They aim to help clients complete their business growth cycle and maximize their data potential.
BizAcuity is a global business intelligence consulting firm that provides services including business intelligence, data warehousing, analytics, and big data. It helps clients across industries like gaming, financial services, media, and e-commerce make smarter business decisions. BizAcuity's services include building customized BI solutions, performing data analytics, and providing consulting to define BI strategies and roadmaps.
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Speedy Processing of business data at Edelweiss Capital with 1KEY BI - Case S...Dhiren Gala
The MAIA Intelligence's 1KEY BI provides the Edelweiss Group with a single view of enterprise-wide data and delivers a scalable and extendible financial data model, which helps in making faster decisions.
By Akhtar pasha
Este documento describe los comandos básicos de Git como init, status, commit, log y clone. Explica que init inicializa el repositorio en la carpeta raíz, status muestra el estado de los archivos, commit guarda los cambios con un mensaje, log muestra el historial de confirmaciones y clone copia un repositorio de una URL.
Este capítulo presenta una introducción a los conceptos fundamentales de los negocios. Explica que una empresa es una organización que ofrece productos para satisfacer las necesidades de las personas y obtener ganancias. También describe las funciones clave de la administración, el marketing, las finanzas y cómo la oferta y la demanda, los sistemas económicos y los ciclos afectan a las empresas. Finalmente, enfatiza la importancia de la ética y la responsabilidad social para el éxito a largo plazo de una empresa.
Este documento discute varios temas relacionados con la organización y la comunicación en las empresas. Explica conceptos como la cultura organizacional, la estructura organizacional, la asignación de tareas, los tipos de departamentalización, la centralización, los grupos y equipos, y los diferentes tipos de comunicación en una organización.
The document discusses globalization, outsourcing, and offshoring. It defines outsourcing as transferring business functions like IT, HR, or manufacturing to an external provider. Reasons for outsourcing include potential cost savings from lower wages abroad, improved quality, and operational expertise from specialists. The document outlines direct and indirect costs of outsourcing as well as sourcing strategies. Potential pros are lower costs and access to talent, while cons can include security issues and quality problems.
Ultimate Software provides three key benefits of selecting its SaaS solution for human capital management:
1. It provides in-house control over HR functions while outsourcing the maintenance and upgrades to Ultimate Software, reducing the need for dedicated in-house IT resources.
2. Companies see a return on their investment through lower upfront costs compared to licensed software, increased efficiency of HR processes, and freeing up HR staff time to focus on strategic initiatives.
3. Customers benefit from industry-leading security of their employee data hosted in Ultimate Software's secure data centers, as well as always having the latest version of UltiPro software without needing to manage upgrades themselves.
Datavibes is an exclusive BI solutions provider that helps companies improve business performance through data collection, aggregation, integration, visualization and interpretation. The document outlines Datavibes' values of being responsive, responsible, reliable, respectful and achieving the highest ROI for stakeholders. It also provides examples of Datavibes' work with clients like Merrill Lynch, PNC Financial Services, ServiceLink and Nestle to develop reporting, risk management and analytics solutions.
Dun and Bradstreet is a firm that collects and publishes financial and corporate data on over 80 million public and private companies worldwide. It offers clients services to assess creditworthiness of potential customers, find and evaluate customer leads, select potential suppliers, and facilitate supplier negotiations. These services power business decisions in areas like credit management, sales and marketing, and supply chain management.
The document discusses how in-memory computing and SAP HANA can help aerospace and defense companies manage big data and gain business insights. It provides examples of how HANA allows for real-time analysis of large data volumes to improve decision making in areas like program management, manufacturing, supply chain planning and aftermarket services. The document advocates for an on-site HANA Value Workshop to help companies assess HANA fit, identify potential use cases, and build a business case for how HANA can deliver value by enabling analysis of all relevant data sources.
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
This document discusses how business intelligence (BI) can help hospitality companies by integrating information. BI involves analyzing data that companies already collect on customers, operations, and competitors to provide insights. It allows companies to quickly address problems, take advantage of opportunities, and improve operations. While BI can boost profits and efficiency, hospitality companies face challenges in implementing it like dispersed data sources and a need to integrate systems. The document describes how one hotel franchise works with Cognizant to develop data cleansing processes to ensure accurate information for effective BI.
The document discusses how poor data quality can negatively impact marketing ROI and provides strategies for addressing data quality issues. It suggests enhancing CRM data through data cleaning and integration with external sources to improve customer targeting, segmentation, and campaign analysis. Regular data maintenance is important to reduce costs from data issues and maximize returns from sales and marketing databases.
Unlocking Success in the 3 Stages of Master Data ManagementPerficient, Inc.
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
This document summarizes the capabilities of DatknoSys, a company that provides business intelligence and analytics solutions. They analyze internal and external data to provide insights and recommendations to help clients make informed business decisions. Their platform integrates data from various sources and uses visualization dashboards, reporting, and data mining tools to analyze key metrics and identify opportunities. This helps customers optimize strategies, improve decision making, manage costs and risks, and gain a competitive advantage through data-driven insights.
Data Sciences & Analytics Discover the unknown power of the knownYASH Technologies
Our data science’s and analytics’ competency accelerates the data-driven decision making process and empowers you with capabilities that will guide you in deriving deeper insights. We can transform your business into a more nimble and connected organisation through our extensive portfolio
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this session to learn key metrics and steps you can take to kickstart a data quality strategy.
SAS was founded in 1976 and is headquartered in Cary, North Carolina. It provides software for business intelligence, analytics, and data management. SAS has over 11,000 employees worldwide and annual revenue of over $3 billion. It prides itself on high-quality software and excellent customer service.
This document discusses how companies can become insights-driven organizations by transitioning from simply being data-driven. It identifies three key capabilities needed to make this transition: making data management and analytics more agile and flexible; finding insights based on all available enterprise data; and ensuring data insights are contextual, actionable, and pervasive. Specific strategies are described for each capability, such as adopting new data management technologies like data lakes to improve agility, and creating cross-functional insights teams to make insights a collaborative effort. The value of becoming insights-driven is also highlighted, noting they experience significantly higher revenue growth compared to non-insights-driven firms.
InfoDataSphere is a growth enablement partner that offers various data and marketing services. They have over 7 years of experience in the industry and work with top data vendors and Fortune 100 companies. Their services include data management, email campaigns, appending missing contact details, and more. They aim to help clients complete their business growth cycle and maximize their data potential.
BizAcuity is a global business intelligence consulting firm that provides services including business intelligence, data warehousing, analytics, and big data. It helps clients across industries like gaming, financial services, media, and e-commerce make smarter business decisions. BizAcuity's services include building customized BI solutions, performing data analytics, and providing consulting to define BI strategies and roadmaps.
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Speedy Processing of business data at Edelweiss Capital with 1KEY BI - Case S...Dhiren Gala
The MAIA Intelligence's 1KEY BI provides the Edelweiss Group with a single view of enterprise-wide data and delivers a scalable and extendible financial data model, which helps in making faster decisions.
By Akhtar pasha
Este documento describe los comandos básicos de Git como init, status, commit, log y clone. Explica que init inicializa el repositorio en la carpeta raíz, status muestra el estado de los archivos, commit guarda los cambios con un mensaje, log muestra el historial de confirmaciones y clone copia un repositorio de una URL.
Este capítulo presenta una introducción a los conceptos fundamentales de los negocios. Explica que una empresa es una organización que ofrece productos para satisfacer las necesidades de las personas y obtener ganancias. También describe las funciones clave de la administración, el marketing, las finanzas y cómo la oferta y la demanda, los sistemas económicos y los ciclos afectan a las empresas. Finalmente, enfatiza la importancia de la ética y la responsabilidad social para el éxito a largo plazo de una empresa.
Este documento discute varios temas relacionados con la organización y la comunicación en las empresas. Explica conceptos como la cultura organizacional, la estructura organizacional, la asignación de tareas, los tipos de departamentalización, la centralización, los grupos y equipos, y los diferentes tipos de comunicación en una organización.
The document discusses globalization, outsourcing, and offshoring. It defines outsourcing as transferring business functions like IT, HR, or manufacturing to an external provider. Reasons for outsourcing include potential cost savings from lower wages abroad, improved quality, and operational expertise from specialists. The document outlines direct and indirect costs of outsourcing as well as sourcing strategies. Potential pros are lower costs and access to talent, while cons can include security issues and quality problems.
Cap. 2 ética y responsabilidad social de las empresasPUCE SD
Este capítulo trata sobre la ética empresarial y la responsabilidad social. Explica que la ética en los negocios se refiere a los principios y normas que determinan la conducta aceptable, mientras que la responsabilidad social requiere que las empresas maximicen los impactos positivos y minimicen los negativos en la sociedad. También analiza las fuentes potenciales de comportamiento no ético como objetivos agresivos, conflictos de interés y falta de comunicación adecuada, así como formas de mejorar el comportamiento ético a través de códig
El documento habla sobre las funciones administrativas que son necesarias para lograr los objetivos de una organización. Explica que la planificación, organización, dirección y control son procesos clave utilizados por los administradores para usar los recursos de manera efectiva. También describe las diferentes áreas de administración como finanzas, producción, mercadeo y recursos humanos y los roles de la alta gerencia, gerencia media y gerencia de primera línea.
A data monetization framework from Accenture Interactive. Three questions your company should answer to start realizing revenue opportunities from your data.
The Pitney Bowes Spectrum Technology Platform allows companies to consolidate applications, enhance data quality, and develop accurate single customer views. It offers modular solutions for data quality, governance, location intelligence, integration, and business services. The platform can integrate with core CRM, ERP, and legacy systems to optimize performance, improve processes, and support better decisions through customer and location insights. It provides a comprehensive but affordable alternative to traditional MDM systems.
Data Governance a Business Value Driven ApproachTridant
This white paper proposes a data governance framework focused on generating business value from enterprise data. The framework includes a data excellence maturity model to assess an organization's ability to leverage data, a data excellence framework with four pillars of agility, trust, intelligence and transparency, and defines data governance through business rules linked to specific business processes and metrics. The goal is to deliver both immediate improvements and long term sustainable management of enterprise data as a business asset.
The document discusses how maintaining accurate and complete data is important for business growth. It notes that poor data quality costs companies an average of $8.2 million annually and that only 12% of companies use customer intelligence to drive key business functions. Regular data cleansing and maintenance is needed to maximize revenue from existing customers, uncover new prospects, and strengthen customer relationships. Committing to continuous data quality improvement requires executive sponsorship and cross-departmental collaboration.
Data Quality Management (DQM) impacts a number of key business drivers, ranging from regulatory
compliances, to customer satisfaction, to building new business models. Quality is one of the key functions
under Data Governance, as unverified/unqualified data has little value to the organization. One of the leading
global research and advisory firm estimates that an average Fortune 500 enterprise loses about $9.7mn
annually over data quality issues. Although the true intangible cost of poor data is much higher, the sad truth
is that data quality has not been paid the attention it deserves.
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
Columbus is a listed IT services and consulting company with 2,000 employees serving customers worldwide. It helps ambitious companies transform, maximize and futureproof their business digitally, with expertise in retail, food, distribution and manufacturing industries. Columbus has over 28 years of experience helping more than 4,200 customers globally, and is headquartered in Denmark with offices worldwide.
How Can You Calculate the Cost of Your Data?DATAVERSITY
Today, self-service, Cloud and big data technologies make new data preparation capabilities necessary…and possible. But, we've all been through the hype cycle and know the trough of disillusionment can come on hard and fast.
Organizations have been trying to solve the data quality problem and democratize insights for years spending millions of dollars and dedicating an increasing amount of resources to manage and govern the data. The result? Everyone is still looking to solve the problem.
Data preparation offers a new paradigm, but how can you avoid another round of minimal business impact? We’ll review a true data ROI model that helps organizations understand the value of existing versus modern data management architectures.
Learn how you can drive your business forward with confidence by making decisions based on actionable insights gained from organizational data in real-time.
Fuel your Data-Driven Ambitions with Data GovernancePedro Martins
The document discusses the importance of data governance and provides an overview of how to implement an effective data governance program. It recommends obtaining executive sponsorship, aligning objectives to business initiatives, prioritizing initiatives, getting frameworks ready, and socializing the program. The document outlines data governance building blocks, including assessing maturity, developing a master plan, selecting tools, and establishing an organizational framework. It also discusses preparing an organization for success with data governance.
Developing A Universal Approach to Cleansing Customer and Product DataFindWhitePapers
Take a look at this review of current industry problems concerning data quality, and learn more about how companies are addressing quality problems with customer, product, and other types of corporate data. Read about products and use cases from SAP to see how vendors are supporting data cleansing.
The document discusses Siperian's master data management solutions that help companies improve data quality, consistency, and access to key business data. Siperian's MDM Hub platform provides a centralized, shared repository that resolves data conflicts to create unified views of critical business entities. This allows companies to improve business functions like sales, marketing, customer service, and risk management. Siperian MDM Hub offers a flexible, model-driven architecture that can be deployed quickly for fast ROI.
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Denodo
Watch full webinar here: https://bit.ly/2KLc1dE
An organization’s effectiveness can only be as good as the understanding of their data. Hence it is important for both the frontline workers as well as the managers to be data literate, so that they can they understand how the business is functioning, decide if any changes need to be made, and quickly make decisions to realize better outcomes. However, successful data literacy requires stringent processes and an effective tool to operationalize them.
Listen to the our replay on the 10-steps to building a data-literate organization, and how data virtualization can help implement the underpinning processes.
Sense Corp and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
Watch the replay to learn:
- The 10-steps to data literacy; what you can do to become a high performer.
- How to use data virtualization as the foundation to implementing data literacy processes.
- Examples of companies that have achieved high levels of data literacy.
Download the Sense Corp 10 Steps to Data Literacy eBook to learn more.
5 Pillars Of Effective Data Management In Modern Data Systems.pdfaNumak & Company
Due to low data allocations, many business organizations have lost their basic and essential customer relationship details due to defrauding and insecure data compliance.
All organizations must possess a reliable data source for their better functionality and vast workflow in transparency and effective relationships with customers and business partners. Else, they might lose their value.
This document discusses improving data quality for marketing effectiveness. Typical data problems include duplicate records, incomplete data, and incorrect data. Marketing benefits from quality data through having an accurate view of customers to effectively target communications. The best way to address data quality is as close to the source as possible, such as validating data during web form submissions. Various opportunities for cleansing data exist, such as during transactional updates, from external data feeds, when migrating legacy data, and through regular maintenance of existing data. Ensuring high quality data is important for marketing success.
This document provides information about Info CheckPoint, a B2B marketing database provider. It summarizes their offerings as follows:
Info CheckPoint provides large, customized databases and an advanced online search application to help companies identify target customers. Their databases contain over 20 million contacts across various industries. They ensure data quality through verification and validation processes. Info CheckPoint also integrates with CRM systems like Salesforce to enable targeted communication and improve marketing ROI.
Marketing Network presentation: Why marketers need to be concerned with data ...KETL Limited
The document discusses why data quality is important for marketers. It notes that by 2017, 33% of Fortune 100 organizations will experience an information crisis due to inability to effectively manage enterprise data. The presentation then covers how bad data can enter systems, the impact of poor data quality such as potential 10-30% losses in revenue, and how to improve data quality through profiling and focusing on high impact areas. A case study demonstrates how better data quality allowed a retailer to avoid duplicate marketing and gain insights into customer purchasing patterns.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
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 .
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Choosing The Best AWS Service For Your Website + API.pptx
E outsource asia 2010
1. Precision Data Quality,
Leading the Journey
“Poor quality data costs US businesses an estimated
$600 billion a year.”
The Data Warehousing Institute (TDWI)
“High quality, well-integrated customer data is the
cornerstone of a successful CRM effort.”
Gartner Group
“… eliminating inefficiencies associated with using the
wrong data, and more effective risk management
through aggregation of correct data.”
Bank Negara of Malaysia
“Quality is free, but it is not a gift!”
Phil Crosby
2. INDUSTRY DILEMMA
Information Technology executives have been under This is a wake-up call for IT executives to deliver data
constant challenges to deliver despite under tight IT quality initiatives - when applied systematically across
budget. Leveraging on existing assets has become one the enterprise, data quality can build a solid foundation
of the common directives - heavy IT investments must for fact-based, analytical decision making that can help
bring back values to the organization bottom line! organizations strategize with confidence and capitalize
Among the systems under close radar are operational on lucrative business opportunities.
systems such as ERP, CRM, and Data Warehousing, as
well as the structured and unstructured enterprise data Urgent need for data quality initiatives is clearly
from many different channels such as emails, web sites, recognized by IT executives. In a survey by IDC
call centers and collaborative tools. (International Data Corp) and sponsored by SAS®, a
leader in business analytics, IT respondents were asked
Billions of dollars are lost due to errors or makeshift to rate challenges when implementing business
efforts made necessary by poor data quality in analytics software - and the top three responses were,
enterprise data storage. For example, a simple merger • difficulty of integrating data from multiple source
between 2 client data stores may end up introducing systems
duplicate clients, making different Sales Agents having • the quality of the data itself
to visit the same client over and over again! Data • issues when attempting to integrate analytics with
Quality initiatives serve to address this challenge. It enterprise applications
provides the opportunity to streamline operating
processes, hence reducing operation costs, while In IDC report, the proposed solution is, “to implement a
driving revenue growth. flexible and straightforward business analytics
framework that begins with data integration and data
Reaching out to potential market, given poor quality quality”. The end in mind is to enable business
data in organization, can any campaign based on it, executives to access “the right information at the right
likely to achieve the expected revenue lift? time for fact-based decisions at every level of the
enterprise”.
INDUSTRY DILEMMA
3. OUR PROFILE
Who Are We?
E-Outsource Asia is a Malaysian IT Consulting and
Outsourcing company providing Enterprise Solutions
services to local and multinational customers
What Do We Do ?
We provide Business Process Consulting services,
Enterprise Solutions Design and Delivery, and
Outsourcing Services
We provide Outsourcing Services for clients who want
to leverage on our Outsourcing Competency Center to
assist in configuration, development, testing or support
services based on a offsite or offshore model
Why Us?
We have a proven track record of delivery capability
and quality people to get the job done successfully
We have been delivering the results for our
distinguished customers for the past 15 years
We are professional and flexible in our dealings with our
customers to achieve mutually beneficial partnerships
OUR PROFILE
4. BUSINESS ISSUES
360 DEGREES OPERATIONAL DELAY
Who are my customers? Where are my customers? How much time is needed to identify duplicate records?
Databases usually appear to be highly polluted. The And how reliable is the duplicate list? How about
reason is, incorrectly entered, misspelled, or reconciling the data back to source systems? These
misrepresented data are not easily detected in an business questions often time leads to project over-
automated system. Data Quality Solution applies human runs, in terms of time, resources, and even quality of
reasoning and knowledge in order to obtain a single delivery! E-Outsource Asia has experienced long enough
customer view. to understand that manual traditional eyeballing-
intensive practices, simply requires a more efficient way
CROSS-SELLING of handling.
Who are our potential clients? Where are they located?
Can we tap from another data store to cross-sell our FRAUD PREVENTION
product? In addition to prospects for attracting new Is there a fraud data within the database? How to
customers, existing customer base contains a wealth of exhaustively identify the fraud list? Is there a way to
cross-selling opportunities! Many opportunities can smart-scan the database for fraud potentials? How to
lighten up if only the data is kept in good condition, or if match records for black-list? Data Quality Solution
we know how to handle the various forms of data wears the hat of Sherlock Holmes to not only identify
structures, each with their own challenges. the fraud records, but to also uncover new potential of
frauds.
COMPLIANCE
Is the organization in compliance? Is there a standard
template for businesses to check on their Data Quality
score, hence complying to standards set by regulators?
Data Quality Solution provides the answer.
BUSINESS ISSUES
5. KEY BENEFITS
RAISES THE COMPANY VALUE AND IMAGE REDUCES COST
Good quality data can be a mirror-portrayal of the Defective data leads to higher operating cost. Mail
company. A company which consistently providing less- return due to invalid address costs considerable amount
quality data to their customers, can be perceived as of postage fee, as well as staffs’ time and effort doing
being insensitive and ignorance towards their own mail re-processing, if necessary. And duplicate mailing
customers. Even a mere name misspell, consistently, to the same customer address simply amplifies the cost!
may resonate the same perception towards the And more damaging is when mail recall has to be made
company, “if they cant spell my name right, can they upon incorrect data being sent out to customers. Not
handle my financial needs?”. E-Outsource Asia guards only the company credibility is at stake, the whole
against these pitfalls, hence partners with Data Quality recovery process will incur dollars to the company. E-
principals to ensure good quality data at source Outsource Asia understand the risk factors, hence work
systems. closely with Data Quality principals in mitigating the
risk.
RAISES REVENUES VIA CUSTOMERS PROFILING
Knowing our potential customers is one pillar to KEEPING THE CxO OUT OF PRISON
business success. Customer intimacy means we know Sarbanes-Oxley Act of 2002 has established new or
the customers well enough, in terms of their profile, enhanced standards for all U.S. public company boards,
demographic information, spending pattern, etc. management, and public accounting firms. Locally, Bank
Though there are many sources for such information, Negara has laid out a Data Quality guidelines in 2008,
maintaining the information to be most reliable, and for all Financial Institutions to beef up their data
most accurate, are critical so that businesses can target governance, data security, as well as data quality. E-
the right source of potential revenue leads. Similarly Outsource Asia has experienced participating in the
important, is to ensure the recentness of data, so that efforts, and has established Data Quality template
businesses do not end up looking at the “potential-of- scorecard for the FI’s in Malaysia.
past”. E-Outsource Asia, together with solution
partners, strives to integrate the disparate information
together, giving a single view of the customers data.
KEY BENEFITS
6. PRODUCT OVERVIEW
We use world leading Data Quality softwares to help Data Profiling
our clients get the best out of their data. One of the Data profiling gives organizations a better
leading softwares is SAS Data Quality Solution, which understanding of data quality issues that exist within
provides a complete set of data quality tools and easy- data structure, contents and relationships and enables
to-use interfaces designed to meet the needs of both better planning and project execution. SAS Data Quality
business and technical users. The tools include the Solution provides the ability to profile and assess the
ability to profile data to uncover data discrepancies and quality of data across the enterprise. A robust
determine the effort required to rectify them, an easy- environment analyzes data across the enterprise to
to-use interface for defining business rules, and a determine nuances and discrepancies. An easy-to-use
platform-independent server environment to execute interface and an interactive reporting mechanism
the rules on data from any platform in any format. makes it easy to determine areas of poor data quality
and the amount of effort required to rectify them.
When poor data quality is
identified, the solution
provides the ability to
cleanse and augment
that data to ensure
consistency and
accuracy. By providing
the ability to customize
the algorithms used to
parse and cleanse data
based on language-specific
constructs or individual user
requirements, SAS Data Quality
Solution addresses the needs of each customer
and extends the values of any strategic solution.
PRODUCT OVERVIEW
7. Cleansing and Standardization Identification Analysis
Easy-to-use tools enable data stewards, business users This capability determines the gender and race of an
and technical users to analyze and prototype data individual, which may be helpful in segmenting and data
quality cleansing processes, and apply corrections to for targeted marketing purposes. It can also determine
improve the accuracy of analysis. You can parse data whether a value is for a person or an organization,
values (ie name parts, address parts, email addresses, which could be used to determine the type of services
and any free-form text values), apply address to offer when a call is placed to customer service. The
standardizations, and validate address data based on algorithms have been extended to also identify
local standards. significant pieces of contact info, eg name , address,
city, state, IC number, account number, date of birth
Matching and Deduplication etc.
Matching algorithms can join dissimilar data from
multiple sources using algorithms that include heuristics Customization
and multinational data phonetics. This helps eliminate Personalizing or customizing the parsing, matching,
guesswork when complete matches are not possible standardization, and identification algorithms and rules
and creates a consistent view of information. Unique provides the ability to control the data quality process
key values are created with fuzzy logic to group based on an individual organization's business
together information with similar values (eg Mohd, requirements. For example, rules can be enhanced or
Mohamad, Mohammed) across one field or multiple created to control how product codes, quantities, and
fields. You can remove and merge duplicate values in other characteristics are parsed from a string of data. A
data to significantly reduce storage requirements and common Quality Knowledge Base lets you share this
provide consistent information across data sources. information as well as leverage language-specific
algorithms between server and client components.
PRODUCT OVERVIEW
8. THE POWER OF KNOWLEDGE
With wealth of experiences handling regional data set, Intelligent interpretation uses knowledge dictionaries
E-Outsource Asia realizes the importance of embedding containing all possible elements that can
local knowledge to data quality processing. There are a appear in names and addresses, be it on company
number of data quality tools in the global arena, each names or person names. Configurable weightage is
claim for their prowess in data profiling, duplicate given to each determining attributes based on the client
matching, data reconciling, etc. The perceived confidence to their data set. Example, a person name
technological gap between the tools have been interpretation for Race and Gender, may be 60%
shrinking upon time, the key difference is the tools’ subjected to its name value, 30% to its updated IC
ability to incorporate local knowledge base, and E- number, 10% to its Salutation. Within the name value
Outsource Asia offers the difference, thanks to its interpretation, further weightage is configured for the
intensive research and development. different name parts, be it first name, last name, middle
name, other name, etc. This interpretation engine
E-Outsource Asia investment on local knowledge have contains all possible meanings of various element-
led to the development of, among others, an intelligent specific attributes, such as abbreviations, or acronyms
interpretation of data. How can we know that “Astro” in use. In achieving this feat, E-Outsource Asia has
and “Measat Broadcast Network Systems” are probably analyzed ~11 million different unique names locally, and
different names for the same company? How can we plot them out based on statistical and probability
possibly know that a name field with free-text value of theorems.
“Farlisa Azlan” is most likely a female gender? And most
likely a Malay ethnic? How can we know that a given IC E-Outsource Asia has experienced handling not only the
number may not be the correct number for the named names-intensive interpretation, but also other local
person? Humans may be able to make some distinction knowledge like addresses. By doing all these, we have
in a split second, but mere technology based on provided significant values to business practices in
mathematical logic may have limitation. Malaysia. And the fact that SAS Data Quality Solution
supports the integration of local knowledge, this has
further ensure that our clients are assured with
exceptional level of data quality.
THE POWER OF KNOWLEDGE
9. OUR SERVICES
E-Outsource Asia Data Quality Services Team comes
with a comprehensive portfolio of services to support
you in :
Data Quality Audit
Data Cleansing via “Bureau Services“
Data Profiling, Structuring Analysis
Business Deviation / Fraud detection
Automatic Prevention of Data Contaminations
Reference Databases for Local Names, Addresses,
O&G Products
Geocoding for addresses into graphical patterns
(add-on functionality)
OUR SERVICES
10. Precision Data Quality, Leading the Journey
For more information, contact
• Steven Lim (steven.lim@e-oasia.com) +6016-332-5655
• Azlan Zainal (azlan.zainal@e-oasia.com) +6012-346-8510
No. 20-2 & 20-3, Jalan PJU 5/21,
Pusat Perdagangan Kota Damansara,
Kota Damansara PJU 5,
47801 Petaling Jaya, Selangor,
Malaysia
Phone : +603-6142-7026
Fax : +603-6142-7027
Web : www.e-oasia.com