- The document discusses data management strategies for accountants and compliance with accounting standards. It addresses data quality, governance, and assurance frameworks.
- Various definitions are provided around data quality, governance, and frameworks to structure quality activities and assess data quality.
- A data governance strategy is recommended that sets core data standards, focuses initially on critical data, and uses a slow-burn approach of monthly/quarterly reviews and a program of works to gradually improve data quality and maturity.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
This document discusses data governance and data architecture. It introduces data governance as the processes for managing data, including deciding data rights, making data decisions, and implementing those decisions. It describes how data architecture relates to data governance by providing patterns and structures for governing data. The document presents some common data architecture patterns, including a publish/subscribe pattern where a publisher pushes data to a hub and subscribers pull data from the hub. It also discusses how data architecture can support data governance goals through approaches like a subject area data model.
This document discusses the importance of data quality and data governance. It states that poor data quality can lead to wrong decisions, bad reputation, and wasted money. It then provides examples of different dimensions of data quality like accuracy, completeness, currency, and uniqueness. It also discusses methods and tools for ensuring data quality, such as validation, data merging, and minimizing human errors. Finally, it defines data governance as a set of policies and standards to maintain data quality and provides examples of data governance team missions and a sample data quality scorecard.
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DATAVERSITY
This document summarizes a webinar on building a future-state data architecture. It discusses defining data management and identifying current and future hot technologies. Relational databases dominate currently while cloud adoption is increasing. Stakeholders beyond IT are increasingly involved in data decisions. The webinar also outlines key steps to create a data management program, including defining goals, identifying critical data, assessing maturity, and creating a roadmap. An effective roadmap balances business priorities and shows quick wins while building to long term goals.
LDM Slides: How Data Modeling Fits into an Overall Enterprise ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as it relates to data and its business impact across the organization.
Join this webinar for a discussion on how a data model can be combined with an overall enterprise architecture for enhanced business value and success.
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
- The document discusses data management strategies for accountants and compliance with accounting standards. It addresses data quality, governance, and assurance frameworks.
- Various definitions are provided around data quality, governance, and frameworks to structure quality activities and assess data quality.
- A data governance strategy is recommended that sets core data standards, focuses initially on critical data, and uses a slow-burn approach of monthly/quarterly reviews and a program of works to gradually improve data quality and maturity.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
This document discusses data governance and data architecture. It introduces data governance as the processes for managing data, including deciding data rights, making data decisions, and implementing those decisions. It describes how data architecture relates to data governance by providing patterns and structures for governing data. The document presents some common data architecture patterns, including a publish/subscribe pattern where a publisher pushes data to a hub and subscribers pull data from the hub. It also discusses how data architecture can support data governance goals through approaches like a subject area data model.
This document discusses the importance of data quality and data governance. It states that poor data quality can lead to wrong decisions, bad reputation, and wasted money. It then provides examples of different dimensions of data quality like accuracy, completeness, currency, and uniqueness. It also discusses methods and tools for ensuring data quality, such as validation, data merging, and minimizing human errors. Finally, it defines data governance as a set of policies and standards to maintain data quality and provides examples of data governance team missions and a sample data quality scorecard.
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DATAVERSITY
This document summarizes a webinar on building a future-state data architecture. It discusses defining data management and identifying current and future hot technologies. Relational databases dominate currently while cloud adoption is increasing. Stakeholders beyond IT are increasingly involved in data decisions. The webinar also outlines key steps to create a data management program, including defining goals, identifying critical data, assessing maturity, and creating a roadmap. An effective roadmap balances business priorities and shows quick wins while building to long term goals.
LDM Slides: How Data Modeling Fits into an Overall Enterprise ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as it relates to data and its business impact across the organization.
Join this webinar for a discussion on how a data model can be combined with an overall enterprise architecture for enhanced business value and success.
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Data Governance Program Powerpoint Presentation SlidesSlideTeam
The document discusses the need for data governance programs in companies. It outlines why companies suffer without effective data governance, such as different groups being unable to communicate and coordinate. It then contrasts manual versus automated approaches to data governance. The rest of the document provides details on key aspects of establishing a successful data governance program, including defining a framework, roles and responsibilities, and developing a roadmap for continuous improvement.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
The document discusses data governance and outlines several key points:
1) Many organizations have little or no focus on data governance, though most CIOs plan to implement enterprise-wide data governance in the next three years.
2) Data governance refers to the overall management of availability, usability, integrity and security of enterprise data.
3) Effective data governance requires policies, processes, business rules, roles and responsibilities, and technologies to be successfully implemented.
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesDATAVERSITY
With the aid of any number of data management and processing tools, data flows through multiple on-prem and cloud storage locations before it’s delivered to business users. As a result, IT teams — including IT Ops, DataOps, and DevOps — are often overwhelmed by the complexity of creating a reliable data pipeline that includes the automation and observability they require.
The answer to this widespread problem is a centralized data pipeline orchestration solution.
Join Stonebranch’s Scott Davis, Global Vice President and Ravi Murugesan, Sr. Solution Engineer to learn how DataOps teams orchestrate their end-to-end data pipelines with a platform approach to managing automation.
Key Learnings:
- Discover how to orchestrate data pipelines across a hybrid IT environment (on-prem and cloud)
- Find out how DataOps teams are empowered with event-based triggers for real-time data flow
- See examples of reports, dashboards, and proactive alerts designed to help you reliably keep data flowing through your business — with the observability you require
- Discover how to replace clunky legacy approaches to streaming data in a multi-cloud environment
- See what’s possible with the Stonebranch Universal Automation Center (UAC)
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
New Analytic Uses of Master Data Management in the EnterpriseDATAVERSITY
William McKnight discusses new analytic uses of master data management in the enterprise. He outlines how MDM can power applications like fraud detection, call center chatbots, transportation, and marketing. MDM provides a centralized hub for core and attribute data on customers, products, suppliers and other domains that can then be used across various analytics and applications. With quality master data and attributes, organizations can improve customer profiles for personalization, manage supply chains more efficiently, and detect fraud patterns in real-time.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
The document outlines several upcoming workshops hosted by CCG, an analytics consulting firm, including:
- An Analytics in a Day workshop focusing on Synapse on March 16th and April 20th.
- An Introduction to Machine Learning workshop on March 23rd.
- A Data Modernization workshop on March 30th.
- A Data Governance workshop with CCG and Profisee on May 4th focusing on leveraging MDM within data governance.
More details and registration information can be found on ccganalytics.com/events. The document encourages following CCG on LinkedIn for event updates.
Data Architecture Best Practices for Today’s Rapidly Changing Data LandscapeDATAVERSITY
With the rise of the data-driven organization, the pace of innovation in data-centric technologies has been tremendous. New tools and techniques are emerging at an exponential rate, and it is difficult to keep track of the array of technological choices available to today’s data management professional.
At the same time, core fundamentals such as data quality and metadata management remain critical in order for organizations to obtain true business value from their data. This webinar will help demystify the options available: from data lake to data warehouse, to graph database, to NoSQL, and more, and how to integrate these new technologies with core architectural fundamentals that will help your organization benefit from the quick wins that are possible from these exciting technologies, while at the same time build a longer-term sustainable architecture that will support the inevitable change that will continue in the industry.
Lessons in Data Modeling: Why a Data Model is an Important Part of Your Data ...DATAVERSITY
Data can provide tremendous value to an organization in today’s information-driven economy. New customer insights, better efficiency, and new product innovation are just some of the ways organizations are obtaining value through data. But in order to achieve this value, a strong data architecture is required to ensure that the data infrastructure runs smoothly, while at the same time aligning with business needs and corporate culture. A Data Strategy can assist in building a data architecture foundation through:
Identifying business requirements, rules & definitions via a business-centric data model
Creating a data inventory & integrating disparate data sources
Building a technical data architecture through data models & related artifacts
Coordinating the people, processes and culture necessary for success
Identifying tools & technology needed for creating & maintaining high quality data
The document discusses the importance of data quality and having a data strategy. It notes that poor quality data can lead to skewed analysis, improper campaign targeting, and wasted resources. It also outlines steps for improving data quality such as data audits, profiling data sources, data cleansing, and establishing business rules for data management. Maintaining high quality data requires both internal processes and leveraging external data services and is a key part of building data as a strategic asset for the business.
Introduction to Data Management Maturity ModelsKingland
Jeff Gorball, the only individual accredited in the EDM Council Data Management Capability Model and the CMMI Institute Data Management Maturity Model, introduces audiences to both models and shares how you can choose which one is best for your needs.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
Data Architecture - The Foundation for Enterprise Architecture and GovernanceDATAVERSITY
Organizations are faced with an increasingly complex data landscape, finding themselves unable to cope with exponentially increasing data volumes, compounded by additional regulatory requirements with increased fines for non-compliance. Enterprise architecture and data governance are often discussed at length, but often with different stakeholder audiences. This can result in complementary and sometimes conflicting initiatives rather than a focused, integrated approach. Data governance requires a solid data architecture foundation in order to support the pillars of enterprise architecture. In this session, IDERA’s Ron Huizenga will discuss a practical, integrated approach to effectively understand, define and implement an cohesive enterprise architecture and data governance discipline with integrated modeling and metadata management.
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.
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsKhalid Salama
In essence, a data lake is commodity distributed file system that acts as a repository to hold raw data file extracts of all the enterprise source systems, so that it can serve the data management and analytics needs of the business. A data lake system provides means to ingest data, perform scalable big data processing, and serve information, in addition to manage, monitor and secure the it environment. In these slide, we discuss building data lakes using Azure Data Factory and Data Lake Analytics. We delve into the architecture if the data lake and explore its various components. We also describe the various data ingestion scenarios and considerations. We introduce the Azure Data Lake Store, then we discuss how to build Azure Data Factory pipeline to ingest the data lake. After that, we move into big data processing using Data Lake Analytics, and we delve into U-SQL.
The Business Value of Metadata for Data GovernanceRoland Bullivant
In today’s digital economy, data drives the core processes that deliver profitability and growth - from marketing, to finance, to sales, supply chain, and more. It is also likely that for many large organizations much of their key data is retained in application packages from SAP, Oracle, Microsoft, Salesforce and others. In order to ensure that their foundational data infrastructure runs smoothly, most organizations have adopted a data governance initiative. These typically focus on the people and processes around managing data and information. Without an actionable link to the physical systems that run key business processes, however, governance programs can often lack the ‘teeth’ to effectively implement business change.
Metadata management is a process that can link business processes and drivers with the technical applications that support them. This makes data governance actionable and relevant in today’s fast-paced and results-driven business environment. One of the challenges facing data governance teams however, is the variety in format, accessibility and complexity of metadata across the organization’s systems.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Wazebs Technologies is an ISO-certified IT company that provides web technologies, mobile app development, online marketing, and data entry services. It aims to establish long-term customer relationships based on trust and a commitment to best quality work. The company offers customized solutions and has experience developing websites, applications, and providing data services for clients in various industries.
IconAssist, a solution provider for all your business and personal needs. Outsourcing your Back-end Process helps you to Overcome Internal Operational and Efficiency Challenges.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Data Governance Program Powerpoint Presentation SlidesSlideTeam
The document discusses the need for data governance programs in companies. It outlines why companies suffer without effective data governance, such as different groups being unable to communicate and coordinate. It then contrasts manual versus automated approaches to data governance. The rest of the document provides details on key aspects of establishing a successful data governance program, including defining a framework, roles and responsibilities, and developing a roadmap for continuous improvement.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
The document discusses data governance and outlines several key points:
1) Many organizations have little or no focus on data governance, though most CIOs plan to implement enterprise-wide data governance in the next three years.
2) Data governance refers to the overall management of availability, usability, integrity and security of enterprise data.
3) Effective data governance requires policies, processes, business rules, roles and responsibilities, and technologies to be successfully implemented.
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesDATAVERSITY
With the aid of any number of data management and processing tools, data flows through multiple on-prem and cloud storage locations before it’s delivered to business users. As a result, IT teams — including IT Ops, DataOps, and DevOps — are often overwhelmed by the complexity of creating a reliable data pipeline that includes the automation and observability they require.
The answer to this widespread problem is a centralized data pipeline orchestration solution.
Join Stonebranch’s Scott Davis, Global Vice President and Ravi Murugesan, Sr. Solution Engineer to learn how DataOps teams orchestrate their end-to-end data pipelines with a platform approach to managing automation.
Key Learnings:
- Discover how to orchestrate data pipelines across a hybrid IT environment (on-prem and cloud)
- Find out how DataOps teams are empowered with event-based triggers for real-time data flow
- See examples of reports, dashboards, and proactive alerts designed to help you reliably keep data flowing through your business — with the observability you require
- Discover how to replace clunky legacy approaches to streaming data in a multi-cloud environment
- See what’s possible with the Stonebranch Universal Automation Center (UAC)
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
New Analytic Uses of Master Data Management in the EnterpriseDATAVERSITY
William McKnight discusses new analytic uses of master data management in the enterprise. He outlines how MDM can power applications like fraud detection, call center chatbots, transportation, and marketing. MDM provides a centralized hub for core and attribute data on customers, products, suppliers and other domains that can then be used across various analytics and applications. With quality master data and attributes, organizations can improve customer profiles for personalization, manage supply chains more efficiently, and detect fraud patterns in real-time.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
The document outlines several upcoming workshops hosted by CCG, an analytics consulting firm, including:
- An Analytics in a Day workshop focusing on Synapse on March 16th and April 20th.
- An Introduction to Machine Learning workshop on March 23rd.
- A Data Modernization workshop on March 30th.
- A Data Governance workshop with CCG and Profisee on May 4th focusing on leveraging MDM within data governance.
More details and registration information can be found on ccganalytics.com/events. The document encourages following CCG on LinkedIn for event updates.
Data Architecture Best Practices for Today’s Rapidly Changing Data LandscapeDATAVERSITY
With the rise of the data-driven organization, the pace of innovation in data-centric technologies has been tremendous. New tools and techniques are emerging at an exponential rate, and it is difficult to keep track of the array of technological choices available to today’s data management professional.
At the same time, core fundamentals such as data quality and metadata management remain critical in order for organizations to obtain true business value from their data. This webinar will help demystify the options available: from data lake to data warehouse, to graph database, to NoSQL, and more, and how to integrate these new technologies with core architectural fundamentals that will help your organization benefit from the quick wins that are possible from these exciting technologies, while at the same time build a longer-term sustainable architecture that will support the inevitable change that will continue in the industry.
Lessons in Data Modeling: Why a Data Model is an Important Part of Your Data ...DATAVERSITY
Data can provide tremendous value to an organization in today’s information-driven economy. New customer insights, better efficiency, and new product innovation are just some of the ways organizations are obtaining value through data. But in order to achieve this value, a strong data architecture is required to ensure that the data infrastructure runs smoothly, while at the same time aligning with business needs and corporate culture. A Data Strategy can assist in building a data architecture foundation through:
Identifying business requirements, rules & definitions via a business-centric data model
Creating a data inventory & integrating disparate data sources
Building a technical data architecture through data models & related artifacts
Coordinating the people, processes and culture necessary for success
Identifying tools & technology needed for creating & maintaining high quality data
The document discusses the importance of data quality and having a data strategy. It notes that poor quality data can lead to skewed analysis, improper campaign targeting, and wasted resources. It also outlines steps for improving data quality such as data audits, profiling data sources, data cleansing, and establishing business rules for data management. Maintaining high quality data requires both internal processes and leveraging external data services and is a key part of building data as a strategic asset for the business.
Introduction to Data Management Maturity ModelsKingland
Jeff Gorball, the only individual accredited in the EDM Council Data Management Capability Model and the CMMI Institute Data Management Maturity Model, introduces audiences to both models and shares how you can choose which one is best for your needs.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
Data Architecture - The Foundation for Enterprise Architecture and GovernanceDATAVERSITY
Organizations are faced with an increasingly complex data landscape, finding themselves unable to cope with exponentially increasing data volumes, compounded by additional regulatory requirements with increased fines for non-compliance. Enterprise architecture and data governance are often discussed at length, but often with different stakeholder audiences. This can result in complementary and sometimes conflicting initiatives rather than a focused, integrated approach. Data governance requires a solid data architecture foundation in order to support the pillars of enterprise architecture. In this session, IDERA’s Ron Huizenga will discuss a practical, integrated approach to effectively understand, define and implement an cohesive enterprise architecture and data governance discipline with integrated modeling and metadata management.
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.
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsKhalid Salama
In essence, a data lake is commodity distributed file system that acts as a repository to hold raw data file extracts of all the enterprise source systems, so that it can serve the data management and analytics needs of the business. A data lake system provides means to ingest data, perform scalable big data processing, and serve information, in addition to manage, monitor and secure the it environment. In these slide, we discuss building data lakes using Azure Data Factory and Data Lake Analytics. We delve into the architecture if the data lake and explore its various components. We also describe the various data ingestion scenarios and considerations. We introduce the Azure Data Lake Store, then we discuss how to build Azure Data Factory pipeline to ingest the data lake. After that, we move into big data processing using Data Lake Analytics, and we delve into U-SQL.
The Business Value of Metadata for Data GovernanceRoland Bullivant
In today’s digital economy, data drives the core processes that deliver profitability and growth - from marketing, to finance, to sales, supply chain, and more. It is also likely that for many large organizations much of their key data is retained in application packages from SAP, Oracle, Microsoft, Salesforce and others. In order to ensure that their foundational data infrastructure runs smoothly, most organizations have adopted a data governance initiative. These typically focus on the people and processes around managing data and information. Without an actionable link to the physical systems that run key business processes, however, governance programs can often lack the ‘teeth’ to effectively implement business change.
Metadata management is a process that can link business processes and drivers with the technical applications that support them. This makes data governance actionable and relevant in today’s fast-paced and results-driven business environment. One of the challenges facing data governance teams however, is the variety in format, accessibility and complexity of metadata across the organization’s systems.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Wazebs Technologies is an ISO-certified IT company that provides web technologies, mobile app development, online marketing, and data entry services. It aims to establish long-term customer relationships based on trust and a commitment to best quality work. The company offers customized solutions and has experience developing websites, applications, and providing data services for clients in various industries.
IconAssist, a solution provider for all your business and personal needs. Outsourcing your Back-end Process helps you to Overcome Internal Operational and Efficiency Challenges.
The document discusses the differences between e-commerce and e-business. E-commerce refers specifically to online transactions, while e-business encompasses both external transactions and internal digital processes. E-business represents a more complex integration of a company's online and offline activities. The document also outlines several trends driving the growth of e-business, such as consumer demand for speed and convenience as well as organizational trends like outsourcing. Finally, it presents a framework for e-business including the necessary infrastructure, applications, and design considerations.
This document summarizes the services of a full service IT company including website design and development, custom application development, and CRM/MIS systems. They have an experienced team with expertise in CMS platforms like EPiServer and Umbraco. They develop responsive websites and custom SharePoint sites. Their application development team builds tailored systems and enables integration. They are ISO certified and have received awards from Microsoft and local business awards. They promote their VISION CRM/MIS system which includes standard and custom modules along with dashboard reporting. Testimonials from customers praise their work on websites, Outlook email trackers, and front-end systems.
Our B2B Managed Services offerings combine the industry-leading capabilities of IBM® Sterling B2B Integrator, the deep technical and business expertise of our consulting team, the numerous benefits and capabilities of our innovative B2B Framework, and world-class hosting and infrastructure.
Integration + Automation: How Catholic Church Insurance is Streamlining its D...EileenTan67
Catholic Church Insurance provides insurance and financial services to church institutions in Australia. They have over 150 document types and 500,000 documents generated over 5 years. Empired implemented a solution to digitize CCI's documents using Nintex Workflow and a customer portal. This saved costs from paper, production, and distribution while allowing customers easy, timely access to documents through a consistent digital process. Future plans include adding electronic signatures and analytics capabilities to the system.
LegalBase is a top-ranked global legal and financial outsourcing firm that provides accounting, financial analysis, and legal services. It has operations in several countries and clients worldwide. The document discusses LegalBase's management team, accounting and financial services, operational processes, and advantages of outsourcing to LegalBase, including lower costs, access to expertise, and ability to focus on core business activities.
InfoGlobalData provides B2B email lists and data services to help with email marketing. They have a dedicated team that offers solutions for designing, preparing, delivering, and managing marketing campaigns. InfoGlobalData's database contains business mailing lists across many industries to help clients find the most likely customers. Their services include appending contact information, email list management, and lead generation to boost email marketing, direct mail, and telemarketing efforts.
InStyle Software provides flexible and affordable supply chain management and ERP solutions for fashion businesses. It was founded in 1997 and delivers systems faster and cheaper than traditional vendors. InStyle has shifted development from proprietary to open source technologies, allowing rapid configuration to customer needs. Its Knowledge Management Engine automatically generates and maintains applications based on requirements. InStyle also offers digital marketing services including website creation, SEO, social media, and e-commerce solutions to help fashion brands connect with customers online.
Altus Alliance 2016 - Altus Dynamics Announcing NAV 2016Sparkrock
Presentation by James Faw on February 4th, 2016.
View this presentation to see what NAV 2016 looks like and what new features are available from Microsoft.
The document provides an overview of the key topics covered in the E-Commerce (BCA-409) course syllabus taught in the 4th semester of BBA at Vinod Kumar's university. The main sections covered include an introduction to e-commerce, defining its main activities and benefits. It also outlines the broad goals, main components, functions, process, and types of e-commerce. The roles of internet and web technologies in e-commerce are discussed along with the technologies used and e-commerce systems. It concludes with an introduction to the prerequisites, scope and various e-business models of e-commerce.
Data Entry UK is the UK’s leading and most trusted data entry company. We are UK based reliable data entry service provider. We offer high quality, cost effective and on-time delivery of data entry services. At Data Entry UK, our expertise lies in our capability of offering high-class data entry services. We believe in adopting a very simple yet effective approach for all your data entry requirements.
Lightwell B2B Framework for IBM Sterling B2B IntegratorLightwell
Reduce implementation time and costs by up to 70% and gain greater control and visibility with Lightwell and IBM.
The B2B Framework from Lightwell is a powerful toolset designed for helping companies achieve faster time-to-benefit for the IBM Sterling B2B Integrator solution, greater efficiency and control, and enhanced visibility as they communicate with their partners, suppliers, and customers.
Microsoft Dynamics 365 Business Central. It is a cloud-based, all-in-one business management solution designed for small and mid-sized businesses. The first wave was released in April 2018 and it offers features such as financial management, supply chain management, project management, and sales and marketing automation. With Business Central, organizations can streamline their operations, make informed decisions, and drive growth.
This document introduces VISION CRM & MIS, an integrated management information system with customizable modules. It offers standard modules for customer, sales, financial, project, and quality management that can be tailored to specific business needs. Data from various back-end systems and websites are linked through the system. Modules include tools for tasks, telemarketing, timesheets, membership, and more. Dashboards provide real-time reporting and KPI tracking. Case studies demonstrate implementations for associations and other organizations. Quotes from clients praise the system's functionality, customization, support, and benefits.
K L O is an Indian BPO firm that offers outsourced back office and IT enabled services to global clients. It aims to enhance client competitiveness through leveraging technology. The company provides services such as data entry, document processing, form processing and litigation support through a team of skilled professionals and state-of-the-art infrastructure. K L O works to deliver high quality and secure services with fast turnaround times at competitive costs.
Oracle fusion cloud financial : How to create Journal , Manual Vs Spreadsheet?Pranav Pandya
Cloud Ladder Consulting provides Oracle EBS, Oracle Fusion, and Oracle Cloud implementation and support services and this document discusses how to create journal entries either manually within Oracle or using a spreadsheet interface by outlining the steps for setting up journals, entering journal lines, and posting entries to update account balances. The presentation also provides an overview of Cloud Ladder Consulting's services, team, and journal entry concepts.
Data Entry UK is the UK’s leading and most trusted data entry company. We are UK based reliable data entry service provider. We offer high quality, cost effective and on-time delivery of data entry services. At Data Entry UK, our expertise lies in our capability of offering high-class data entry services. We believe in adopting a very simple yet effective approach for all your data entry requirements.
LorvenSoftTech is an IT services company that has been helping clients achieve their business goals and improve operations since inception. It offers a wide range of services including application development, SAP services, mobility solutions, training, and non-technical outsourcing. LorvenSoftTech has deep expertise across several industries and works with leading organizations around the world to meet strategic objectives, optimize costs, improve speed and quality, and ensure current technology. It delivers services globally through offices in the US, Canada, and India.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Tastemy Pandit
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
Presentation by Herman Kienhuis (Curiosity VC) on Investing in AI for ABS Alu...Herman Kienhuis
Presentation by Herman Kienhuis (Curiosity VC) on developments in AI, the venture capital investment landscape and Curiosity VC's approach to investing, at the alumni event of Amsterdam Business School (University of Amsterdam) on June 13, 2024 in Amsterdam.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
Dive into this presentation and learn about the ways in which you can buy an engagement ring. This guide will help you choose the perfect engagement rings for women.
Discover innovative uses of Revit in urban planning and design, enhancing city landscapes with advanced architectural solutions. Understand how architectural firms are using Revit to transform how processes and outcomes within urban planning and design fields look. They are supplementing work and putting in value through speed and imagination that the architects and planners are placing into composing progressive urban areas that are not only colorful but also pragmatic.
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
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IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
2. DATA MANAGEMENT SERVICES
• Data management is important to modern businesses that rely on large
incoming and outgoing volumes of data.
• Data management allows you to increase the amount of data you can
produce, process, and analyze.
• Our data management services include:
• Data Entry
• Data Conversion
• Data Processing
• Data Mining / Extraction
• eCommerce Data Updating
• Catalog Management
• ePub
3. DATA ENTRY
• We offer data entry services designed to match your specific needs including
the following source information:
• Product Catalogs
• PDF Documents
• Hard/Soft Copy
• Online Orders
• Insurance Claims
• Mailing Lists
• Legal Documents
• Vouchers and Documents
• eBook and Magazine Publications
• Hospital Records and Patient Notes
• Business Cards
• Birth Records, Town Records and Municipal Records
4. DATA CONVERSION
• Our data conversion services include:
• Electronic Data Conversion
• Printed Data Conversion
• Book Conversion
• We can provide
• File Conversion
• Document Conversion
• Document Digitizing
• Data Conversion
• PDF Conversion
• XML Conversion
• Word Formatting
• HTML Conversion
5. DATA PROCESSING
• To improve your business’ workflow and eliminate data congestion,
outsource your data processing needs to us.
• Our data processing services include:
• Forms Processing
• Order Processing
• Insurance Claims Processing
• Transaction Processing
• Image Processing
• Survey Processing
• Market Research Forms Processing
• Check Processing
• Credit & Debit Card Processing
• B3 Form Processing
6. DATA MINING / EXTRACTION
• Data mining and extraction allows businesses to
identify and extract valuable information from
complex data sets.
• Our data mining and extraction services follow
industry-standard methods including classification,
regression, and clustering.
• Our services include:
• Website Data Mining, to extract information from
websites and online databases
• Database Data Mining, to extract information from
previously used databases
• Text Data Mining, to extract information from large
volumes of text for medical, scientific, legal, and
financial research
7. ECOMMERCE DATA UPDATING
• eCommerce is one of the fastest
growing sectors of the Internet.
• It is important that the data presented
on one’s eCommerce site is up to date.
• If you’re adding large volumes of new
products to your site’s database,
outsource your eCommerce data
updating needs to us.
• We offer active monitoring and planned
updating services for pricing, product
descriptions, reviews, and rating data.
8. CATALOG MANAGEMENT
• If your company owns a large catalog of products
that are distributed offline and are interested in
moving online, outsource your catalog
management needs to us.
• Our catalog management services include:
• Catalog Building and Indexing, to build a new catalog
from scratch for your website or business using tools
such as text, drawings, and basic designs
• Catalog Updating, to provide extensive updates for
your existing catalog materials, including adding new
images or product details
• Catalog Processing, to process new catalog additions
provided by you or by a manufacturer represented in
your materials
9. EPUB
• Our ePublishing services include:
• Tagging and Linking of Table of Contents, to create an
active, linked table of contents that matches the
formatting guidelines for your eBook file of choice
• Proofing of Images/Illustrations, to ensure they’re
resized properly and placed appropriately
• Cleaning Page Numbers and Page Headers, to match
the specific requirements of your publishing platform
of choice
• Re-pagination, to ensure it matches the page
numbers given in the eBook format
• PDF conversion services, to convert an existing PDF
eBook into one of the formats listed above
10. In addition to Data Management Services, BACKOFFICE PRO offers services in
Film & Video, Print & Design, Animation, Engineering, Research & Analysis, Image Editing,
and Transcription.
Contact Us
http://www.backofficepro.com/
Email us: data.info@backofficepro.com