UK central, national and local government organizations are publishing linked open data to increase transparency, effectively share data within their own organization and with public sector partners and businesses, monitor policy progress, and target resources and investment. Publishing data as linked open data allows for integration of data across organization boundaries and the combination of data from different sources to enable new analysis methods and save time for analysts. While publishing open data provides benefits like easier data discovery and access, it also presents challenges like needing new skills in public sector organizations and quantifying benefits. Lessons learned include catering to different audience needs, promoting the role of data intermediaries, and engaging with data consumers.
Open Data at Locate15 Conference 11 march 2015Open Data NZ
This document discusses New Zealand's open government data initiative and what it means for data suppliers, users, and society. It defines open data as being accessible, machine-readable, and re-usable. Open data can enable economic growth through new businesses and tools, better social outcomes from improved daily decisions and analysis, and government efficiencies from single authoritative sources and evidence-based policy. Realizing these impacts will take bold changes and many years of engaged government agencies regularly supplying high-value data and engaged users developing applications, while addressing challenges around funding, capabilities, and assessing long-term impact.
SGCI Science Gateways: Addressing Data Management ChallengesSandra Gesing
Data management challenges include:
* Meaningful data aggregation and analysis
* Real-time analytics
* Privacy and security demands
* Lack of usability of solutions
* Missing integration of data sources and instruments
* Complicated US and European privacy laws on health data
* Diversity of stakeholders
Science gateways can address the first five challenges, can
assist with data and measures for easing policies on health data and support diverse user roles via easy-to-use end-to-end solutions.
Compliance is an Opportunity: Leveraging RegulationMediaPost
As the regulations surrounding data privacy are changing rapidly, much of the focus is on potential financial penalties and negative impacts. In this presentation we look at the regulations from a different perspective. How can these new regulatory risks create opportunities for your company’s communication flows and first-party data offerings?
This document discusses big data and its key aspects. It notes that big data requires different approaches than small data due to its large size. Big data can be analyzed to discern patterns and make better decisions, helping competition and growth. The four V's of big data are discussed: volume, velocity, variety, and veracity. Big data clustering is used to group related data elements without prior knowledge. Benchmarking with big data allows organizations to learn from others' experiences and improve performance. Real-time applications of big data include social media analytics, text analytics, and smarter healthcare. Risks include feeling overwhelmed, privacy issues, and costs escalating quickly.
Presented by Rodrigo Sara, from the CGIAR System Management Office at the 5th Webinar held by the CGIAR Gender and Agriculture Research Network on September 29, 2016.
UK central, national and local government organizations are publishing linked open data to increase transparency, effectively share data within their own organization and with public sector partners and businesses, monitor policy progress, and target resources and investment. Publishing data as linked open data allows for integration of data across organization boundaries and the combination of data from different sources to enable new analysis methods and save time for analysts. While publishing open data provides benefits like easier data discovery and access, it also presents challenges like needing new skills in public sector organizations and quantifying benefits. Lessons learned include catering to different audience needs, promoting the role of data intermediaries, and engaging with data consumers.
Open Data at Locate15 Conference 11 march 2015Open Data NZ
This document discusses New Zealand's open government data initiative and what it means for data suppliers, users, and society. It defines open data as being accessible, machine-readable, and re-usable. Open data can enable economic growth through new businesses and tools, better social outcomes from improved daily decisions and analysis, and government efficiencies from single authoritative sources and evidence-based policy. Realizing these impacts will take bold changes and many years of engaged government agencies regularly supplying high-value data and engaged users developing applications, while addressing challenges around funding, capabilities, and assessing long-term impact.
SGCI Science Gateways: Addressing Data Management ChallengesSandra Gesing
Data management challenges include:
* Meaningful data aggregation and analysis
* Real-time analytics
* Privacy and security demands
* Lack of usability of solutions
* Missing integration of data sources and instruments
* Complicated US and European privacy laws on health data
* Diversity of stakeholders
Science gateways can address the first five challenges, can
assist with data and measures for easing policies on health data and support diverse user roles via easy-to-use end-to-end solutions.
Compliance is an Opportunity: Leveraging RegulationMediaPost
As the regulations surrounding data privacy are changing rapidly, much of the focus is on potential financial penalties and negative impacts. In this presentation we look at the regulations from a different perspective. How can these new regulatory risks create opportunities for your company’s communication flows and first-party data offerings?
This document discusses big data and its key aspects. It notes that big data requires different approaches than small data due to its large size. Big data can be analyzed to discern patterns and make better decisions, helping competition and growth. The four V's of big data are discussed: volume, velocity, variety, and veracity. Big data clustering is used to group related data elements without prior knowledge. Benchmarking with big data allows organizations to learn from others' experiences and improve performance. Real-time applications of big data include social media analytics, text analytics, and smarter healthcare. Risks include feeling overwhelmed, privacy issues, and costs escalating quickly.
Presented by Rodrigo Sara, from the CGIAR System Management Office at the 5th Webinar held by the CGIAR Gender and Agriculture Research Network on September 29, 2016.
Partners in Technology (PiT) - Be a Responsive GovernmentDigital Queensland
Irene Violet
Assistant Director-General
Responsive Government
Department of Housing and Public Works
Presentation on Responsive government for Partners in Technology 2 November 2018
Partners in technology information security policy changesDigital Queensland
The Queensland Government Chief Information Office introduced revised Information Security Policies (IS18) effective October 1, 2018. The changes move from a compliance focus to a risk-based approach based on ISO 27001. Key changes include requiring agencies to implement an Information Security Management System, apply systematic risk management, meet minimum security requirements, obtain assurance for systems, and have accountable officers attest to security posture annually. The goal is to establish effective governance, improve risk management, and design systems with assurance in mind.
Big data has the potential to provide more comprehensive insights by analyzing larger data volumes and varieties, including unstructured data. This enables analyzing the entire population rather than just samples, allowing correlations to be discovered rather than just causal relationships. Big data is characterized by its volume, velocity and variety - the vast amounts of data being generated and the need to process both structured and unstructured real-time data from diverse sources. Current applications of big data include product recommendations, business consulting, data systems, and data analytics. Analyzing big data will increasingly underpin competition and drive innovation.
How can Blockchain help the Healthcare Industry?ArijitaBhowmik1
#Blockchain being decentralized and automated has a multitude of use cases in various industries. #Healthcare is one of the sectors leading the front when it comes to blockchain integration. A deep dive into the current healthcare industry reveals the painpoints, challenges and potential that Blockchain implementation can offer to upgrade the overall #healthcare & #medical industry.
NHS-HE forum information governance working groupJisc
The document summarizes discussions from an NHS-HE Forum Information Governance Working Group meeting. The working group deals with governance issues like the Information Governance Toolkit, NHS Digital Framework Contract, and data sharing agreements. It represents 36 organizations and meets quarterly. The group interacts with other advisory boards and works on standards around data security, patient consent, and ongoing topics like comparing governance toolkits and training. Newcastle University's implementation of these standards is also discussed.
The document discusses linked open government data, including:
1. Linked data is a set of principles for publishing machine-readable data as a service using standard protocols and formats.
2. The key benefits of linked open government data include breaking down data silos, accessing full datasets rather than individual files, and the network effect of increasing data value as more is linked.
3. Implementing linked open government data requires selecting high-value datasets, defining persistent URIs, using standards to model data, selecting an open license, and guaranteeing data persistence.
Partners in Technology - Department of Transport and Main RoadsDigital Queensland
The document provides an overview of the Queensland Department of Transport and Main Roads' (TMR) Information Technology Branch (ITB). It summarizes ITB's strategic focus areas for 2018-2019 which include improving user experience, driving innovation, fostering continuous improvement, unleashing data insights, strengthening resilience, and maximizing investment. It also outlines some of TMR's key digital initiatives such as the digital incubator, Flexi-ProQr procurement framework, and data and analytics strategy and roadmap.
IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Ray Henry
Ahuja College of Business
Cleveland State University
Lisa Davis, VP & GM, Digital Transformation & Scale Solutions, Enterprise & Government, Data Center Group, Intel Corp.
Red Hat Government Symposium 2019
Stephen Cohen - The Impact of Ethics on the Architectiasaglobal
This session will place the Architect as leader, decision maker, risk manager, and agent of change in a context of professionalism and responsibility. We will explore many of the choices and actions Architects take on that are, or should be, guided by more than simple fiscal value creation but clarity of purpose in support of multiple cultures and needs.
The document discusses information governance and the legal framework surrounding the use of personal confidential data in healthcare in the UK. It notes that the legal framework is complex and includes acts like the NHS Act 2006, Health and Social Care Act 2012, and Data Protection Act. It summarizes the Caldicott review on balancing patient privacy with information sharing. It then discusses rules around what organizations like Care Commissioners and NHS Digital can access without explicit patient consent due to their roles in providing or supporting care. Lastly, it outlines current rules for linking and sharing data, noting the need to identify legal bases, complete assessments, and respect NHS Digital's data controller status.
"Improving Decision Making in Health & Social Care Through Quality Information & Technology": Dr. Mark Davies (Director of Clinical and Public Assurance) of the Health and Social Care Information Centre (HSCIC) discusses this at the Healthcare Efficiency Through Technology Expo 2013.
The document discusses India's Open Data Initiative and its potential impacts. It outlines the National Data Sharing and Accessibility Policy that mandates government ministries to release non-sensitive datasets. It describes the implementation strategy which includes establishing data managers in departments, an NDSAP cell to assist with publishing datasets to the Data Portal India site in open formats. The site is meant to facilitate citizen engagement through rating, commenting on, and suggesting datasets as well as visualizing data. The potential impacts highlighted are increased transparency, accountability, citizen engagement, collaboration, better governance and decision making, and innovation.
Brisbane Health-y Data: Queensland Data Linkage FrameworkARDC
Presentation given by Trisha Johnston and Catherine Taylor at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Connexica formed in 2006 and realized search technology could be harnessed to build an analytics solution for healthcare organizations. Their solution, CXAIR, integrates disparate data sources into a single search-powered platform that can scale to billions of records and be used by anyone. CXAIR accelerates reporting capabilities, joins previously siloed data to analyze structured and unstructured data, and integrates with major systems for fast implementation. It also ensures compliance with governance standards and improves data quality for accurate operational decisions.
Accelerating Self-Service Analytics with Denodo and Tableau (Singapore)Denodo
Watch full webinar here: https://bit.ly/3kL160o
Presented at Tableau Public Sector Day 2020, Singapore
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
Watch this on-demand session to learn more about:
- Combined use of Denodo and Tableau to achieve the best self-service BI experience
- How data virtualization enables self-service analytics
- Use case and lessons from customer’s success
- Features in Denodo Tableau Native Connector
This document provides an overview of business intelligence (BI) and information governance (IG) support for short-term planning teams (STPs). It discusses the roles of various regulators in data sharing and the different types of data (patient identifiable, anonymous patient level, and aggregate). Examples are provided where the BI and IG teams have worked together to solve data linkage challenges for projects in Somerset and North East Hampshire. The summary emphasizes that data sharing is complicated but that the BI and IG teams can find pragmatic solutions at a local level.
This document discusses Richard Corbridge's role as Chief Information Officer and the landscape of technology and information systems used in clinical research. It notes there are currently around 55 different systems and 35 ways of collating reports used, as well as 16 databases. The document outlines Corbridge's vision of connecting data and information to add value through delivering insight and empowering users. It proposes creating shared reference data, relationships data, and a data dictionary to improve the UK research opportunity.
Fortifying Data Access and Security Controls to Accelerate Cloud MigrationPrivacera
The dichotomy between analyzing sensitive data to fulfill mission critical objectives and the inherent risks of accessing it leads to conflicting objectives for the modern enterprises.
Learn how to balance the two opposing interests to ensure a swift migration to the cloud.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Data & The Machine Summit on self-service analytics about the application of data and machine learning across the enterprise.
58% of Fortune 500 companies report conflict between data scientists and data security & compliance teams due to access restrictions. Learn more about how complying with privacy regulations in cloud environments, and how data governance is transforming from dictated to decentralized to delegated.
Partners in Technology (PiT) - Be a Responsive GovernmentDigital Queensland
Irene Violet
Assistant Director-General
Responsive Government
Department of Housing and Public Works
Presentation on Responsive government for Partners in Technology 2 November 2018
Partners in technology information security policy changesDigital Queensland
The Queensland Government Chief Information Office introduced revised Information Security Policies (IS18) effective October 1, 2018. The changes move from a compliance focus to a risk-based approach based on ISO 27001. Key changes include requiring agencies to implement an Information Security Management System, apply systematic risk management, meet minimum security requirements, obtain assurance for systems, and have accountable officers attest to security posture annually. The goal is to establish effective governance, improve risk management, and design systems with assurance in mind.
Big data has the potential to provide more comprehensive insights by analyzing larger data volumes and varieties, including unstructured data. This enables analyzing the entire population rather than just samples, allowing correlations to be discovered rather than just causal relationships. Big data is characterized by its volume, velocity and variety - the vast amounts of data being generated and the need to process both structured and unstructured real-time data from diverse sources. Current applications of big data include product recommendations, business consulting, data systems, and data analytics. Analyzing big data will increasingly underpin competition and drive innovation.
How can Blockchain help the Healthcare Industry?ArijitaBhowmik1
#Blockchain being decentralized and automated has a multitude of use cases in various industries. #Healthcare is one of the sectors leading the front when it comes to blockchain integration. A deep dive into the current healthcare industry reveals the painpoints, challenges and potential that Blockchain implementation can offer to upgrade the overall #healthcare & #medical industry.
NHS-HE forum information governance working groupJisc
The document summarizes discussions from an NHS-HE Forum Information Governance Working Group meeting. The working group deals with governance issues like the Information Governance Toolkit, NHS Digital Framework Contract, and data sharing agreements. It represents 36 organizations and meets quarterly. The group interacts with other advisory boards and works on standards around data security, patient consent, and ongoing topics like comparing governance toolkits and training. Newcastle University's implementation of these standards is also discussed.
The document discusses linked open government data, including:
1. Linked data is a set of principles for publishing machine-readable data as a service using standard protocols and formats.
2. The key benefits of linked open government data include breaking down data silos, accessing full datasets rather than individual files, and the network effect of increasing data value as more is linked.
3. Implementing linked open government data requires selecting high-value datasets, defining persistent URIs, using standards to model data, selecting an open license, and guaranteeing data persistence.
Partners in Technology - Department of Transport and Main RoadsDigital Queensland
The document provides an overview of the Queensland Department of Transport and Main Roads' (TMR) Information Technology Branch (ITB). It summarizes ITB's strategic focus areas for 2018-2019 which include improving user experience, driving innovation, fostering continuous improvement, unleashing data insights, strengthening resilience, and maximizing investment. It also outlines some of TMR's key digital initiatives such as the digital incubator, Flexi-ProQr procurement framework, and data and analytics strategy and roadmap.
IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Ray Henry
Ahuja College of Business
Cleveland State University
Lisa Davis, VP & GM, Digital Transformation & Scale Solutions, Enterprise & Government, Data Center Group, Intel Corp.
Red Hat Government Symposium 2019
Stephen Cohen - The Impact of Ethics on the Architectiasaglobal
This session will place the Architect as leader, decision maker, risk manager, and agent of change in a context of professionalism and responsibility. We will explore many of the choices and actions Architects take on that are, or should be, guided by more than simple fiscal value creation but clarity of purpose in support of multiple cultures and needs.
The document discusses information governance and the legal framework surrounding the use of personal confidential data in healthcare in the UK. It notes that the legal framework is complex and includes acts like the NHS Act 2006, Health and Social Care Act 2012, and Data Protection Act. It summarizes the Caldicott review on balancing patient privacy with information sharing. It then discusses rules around what organizations like Care Commissioners and NHS Digital can access without explicit patient consent due to their roles in providing or supporting care. Lastly, it outlines current rules for linking and sharing data, noting the need to identify legal bases, complete assessments, and respect NHS Digital's data controller status.
"Improving Decision Making in Health & Social Care Through Quality Information & Technology": Dr. Mark Davies (Director of Clinical and Public Assurance) of the Health and Social Care Information Centre (HSCIC) discusses this at the Healthcare Efficiency Through Technology Expo 2013.
The document discusses India's Open Data Initiative and its potential impacts. It outlines the National Data Sharing and Accessibility Policy that mandates government ministries to release non-sensitive datasets. It describes the implementation strategy which includes establishing data managers in departments, an NDSAP cell to assist with publishing datasets to the Data Portal India site in open formats. The site is meant to facilitate citizen engagement through rating, commenting on, and suggesting datasets as well as visualizing data. The potential impacts highlighted are increased transparency, accountability, citizen engagement, collaboration, better governance and decision making, and innovation.
Brisbane Health-y Data: Queensland Data Linkage FrameworkARDC
Presentation given by Trisha Johnston and Catherine Taylor at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Connexica formed in 2006 and realized search technology could be harnessed to build an analytics solution for healthcare organizations. Their solution, CXAIR, integrates disparate data sources into a single search-powered platform that can scale to billions of records and be used by anyone. CXAIR accelerates reporting capabilities, joins previously siloed data to analyze structured and unstructured data, and integrates with major systems for fast implementation. It also ensures compliance with governance standards and improves data quality for accurate operational decisions.
Accelerating Self-Service Analytics with Denodo and Tableau (Singapore)Denodo
Watch full webinar here: https://bit.ly/3kL160o
Presented at Tableau Public Sector Day 2020, Singapore
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
Watch this on-demand session to learn more about:
- Combined use of Denodo and Tableau to achieve the best self-service BI experience
- How data virtualization enables self-service analytics
- Use case and lessons from customer’s success
- Features in Denodo Tableau Native Connector
This document provides an overview of business intelligence (BI) and information governance (IG) support for short-term planning teams (STPs). It discusses the roles of various regulators in data sharing and the different types of data (patient identifiable, anonymous patient level, and aggregate). Examples are provided where the BI and IG teams have worked together to solve data linkage challenges for projects in Somerset and North East Hampshire. The summary emphasizes that data sharing is complicated but that the BI and IG teams can find pragmatic solutions at a local level.
This document discusses Richard Corbridge's role as Chief Information Officer and the landscape of technology and information systems used in clinical research. It notes there are currently around 55 different systems and 35 ways of collating reports used, as well as 16 databases. The document outlines Corbridge's vision of connecting data and information to add value through delivering insight and empowering users. It proposes creating shared reference data, relationships data, and a data dictionary to improve the UK research opportunity.
Fortifying Data Access and Security Controls to Accelerate Cloud MigrationPrivacera
The dichotomy between analyzing sensitive data to fulfill mission critical objectives and the inherent risks of accessing it leads to conflicting objectives for the modern enterprises.
Learn how to balance the two opposing interests to ensure a swift migration to the cloud.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Data & The Machine Summit on self-service analytics about the application of data and machine learning across the enterprise.
58% of Fortune 500 companies report conflict between data scientists and data security & compliance teams due to access restrictions. Learn more about how complying with privacy regulations in cloud environments, and how data governance is transforming from dictated to decentralized to delegated.
• Democratizing data access and maturing feedback loops between producers and consumers is central to unlocking the potential of DoD’s data to deliver decision advantage
• We are building the framework for DoD’s data ecosystem – including
people, process and technology
• Quality data is the foundation for trusted analytics and AI
• DoD cannot address all data challenges at once – priorities:
• Foundational enterprise data: personnel, logistics, and finance
• End-user facing capability for marquee customers: OSD & CCMDs
This document discusses data architecture and governance. It describes the structure of a data architecture and governance team, including roles for data governance, data quality, business glossary, master data management, and more. It also discusses the team's mission to proactively define rules, ensure high quality data, and provide expert advice on information and data governance. Finally, it provides overviews of various topics within data architecture and governance like data quality management, metadata management, master data management, and data warehousing/business intelligence management.
Transforming GE Healthcare with Data Platform StrategyDatabricks
Data and Analytics is foundational to the success of GE Healthcare’s digital transformation and market competitiveness. This use case focuses on a heavy platform transformation that GE Healthcare drove in the last year to move from an On prem legacy data platforming strategy to a cloud native and completely services oriented strategy. This was a huge effort for an 18Bn company and executed in the middle of the pandemic. It enables GE Healthcare to leap frog in the enterprise data analytics strategy.
This document outlines the City of Dallas' data management strategy for 2019-2022. The strategy aims to develop a business strategy to collect, store, manage, and process data in a standard way required by the City. It establishes a data governance structure and framework to help the City gain benefits from its data assets by controlling, monitoring, and protecting data use. The data management strategy is tightly coupled with IT governance and project management to create a well-planned approach to managing the City's data.
Data Governance Strategies for Public SectorPrecisely
Many government agencies are on a data-driven transformation journey to elevate data literacy whilst complying with legislative and regulatory policies.
Does your Data Governance strategy meet your regulatory and departmental objectives, and do you have actual and measured objectives that drive your governance? Can you trust your data to make critical decisions that enable policy development, data sharing with other agencies, and drive efficiencies?
Watch this on-demand recording to learn practical approaches your organisation can take to develop a data governance strategy that engages with key stakeholders, meets regulatory requirements, and delivers value for the long-term.
Data Analytics Role in Digital Business & Business Process ManagementBPMInstitute.org
Discover the role of data analytics in transformation projects and business process management. What are the four key areas of data analytics and what are the types of data analytics. Also explains data visuals.
A Business-first Approach to Building Data Governance ProgramPrecisely
Traditional data governance programs struggle to make the connection between critical policies and processes and its impact on business value and results. This leaves data management and governance practitioners having to continually make the case for data governance to secure business adoption.
Watch this on-demand webinar to learn about the proven methods to identify the data that matters, connect governance policies to business objectives, and quickly deliver value through the life of the program.
Most of the attention around Analytics goes to the results of the Analytics activity - a better customer profile, a new target market, more efficient product design. What about the process and infrastructure that is needed to get the data to the point in which it is useful to the Analytics community? This presentation addresses the less glamorous, but critically important side of Analytics: the people, process and technology infrastructure that enable an analytics-driven organization.
The presentation will cover these questions:
• How do you align your information assets to your Analytics goals? What data do you need and where do you find it?
• What are the organizational constructs that need to be considered to integrate Data Governance and Analytics?
• What organizational change can be anticipated and how should it be addressed?
• How do you design your data management and data governance programs to support Analytics? How is this different than an operational use case?
This slide deck is drawn from a tutorial presented jointly with Samra Sulaiman of ConsultData at Enterprise Dataversity 2015.
Data Governance: Business First, Govern AlwayPrecisely
Data Governance requires a strong foundation and commitment to make it work, from understanding a business’ needs first before implementing a future proof governance policy. In this presentation for the CDO/CIO Sit-Down series, Melvin Cheong explores the key components that are necessary to build a sustainable program and a fully functional data integrity framework for long-term engagement within your organisation.
Data Democratization and AI Drive the Scope for Data GovernancePrecisely
Back by popular demand: join us for a repeat presentation of the June 22, 2022 keynote from Trust 22, How Data Democratization and AI Drive the Scope for Data Governance, with Ken Beutler, Senior Director of Product Management, Precisely, and guest speaker Achim Granzen, Principal Analyst, Forrester.
Understand the challenges with many data governance initiatives today – and how organizations can respond by stepping up their strategies to align for a new scope of data governance. In this presentation you will hear:
• Challenges that still remain in the current state of Data Governance
• How AI and data democratization are impacting data strategies
• The 5 components that will power the impact of data governance
• Recommendations to mature and broaden your data governance capabilities
Joe Caserta, President at Caserta Concepts presented at the 3rd Annual Enterprise DATAVERSITY conference. The emphasis of this year's agenda is on the key strategies and architecture necessary to create a successful, modern data analytics organization.
Joe Caserta presented What Data Do You Have and Where is it?
For more information on the services offered by Caserta Concepts, visit out website at http://casertaconcepts.com/.
Constant Contact: An Online Marketing Leader’s Data Lake JourneySeeling Cheung
Constant Contact is an online marketing company that handles large amounts of customer data and wants to enable more advanced analytics. They implemented a data lake architecture to centralize data from various sources and make it accessible for different users like data scientists, analysts, and business leaders. The key aspects of their data lake include a flexible reference architecture, identifying different types of users and tools, documenting metadata through an asset inventory, implementing security controls, and establishing lightweight governance practices over the data domains. The data lake approach allows Constant Contact to more easily perform analytics on large, diverse datasets and gain insights.
Increasing Agility Through Data VirtualizationDenodo
This document discusses how data virtualization can help enterprises address data management challenges by providing a single source of truth, reducing data proliferation, enabling standardization and improving data quality. It describes how financial institutions face increased regulatory scrutiny around data practices. The solution presented is a Data Services Layer that acts as a common provisioning point for accessing authoritative data sources using technologies like data virtualization. Effective data governance is also emphasized as critical to the success of any data virtualization effort.
The Data Lake - Balancing Data Governance and Innovation Caserta
Joe Caserta gave the presentation "The Data Lake - Balancing Data Governance and Innovation" at DAMA NY's one day mini-conference on May 19th. Speakers covered emerging trends in Data Governance, especially around Big Data.
For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Presentation by Julie Topoleski, CBO’s Director of Labor, Income Security, and Long-Term Analysis, at the 16th Annual Meeting of the OECD Working Party of Parliamentary Budget Officials and Independent Fiscal Institutions.
Presentation by Rebecca Sachs and Joshua Varcie, analysts in CBO’s Health Analysis Division, at the 13th Annual Conference of the American Society of Health Economists.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Indira awas yojana housing scheme renamed as PMAYnarinav14
Indira Awas Yojana (IAY) played a significant role in addressing rural housing needs in India. It emerged as a comprehensive program for affordable housing solutions in rural areas, predating the government’s broader focus on mass housing initiatives.
karnataka housing board schemes . all schemesnarinav14
The Karnataka government, along with the central government’s Pradhan Mantri Awas Yojana (PMAY), offers various housing schemes to cater to the diverse needs of citizens across the state. This article provides a comprehensive overview of the major housing schemes available in the Karnataka housing board for both urban and rural areas in 2024.
2. Making Data Work for Citizens
Services
delivering
Digital Insights
and Data
Analytics
Data
Governance
Tools,
Technologies,
Infrastructure
to Support
Data Services
Strategy and
Roadmap
3. Building Blocks
Open
Data
Metadata
Standards
(POD)
Open Data
Policy
Open Data
Governance
Data
Sharing
Data Sharing
Standards
Data Sharing
Policy
Data Sharing
Governance
Data
Collection
Data
Collection
Standards
Data
Collection
Policy
Data
Collection
Governance
Data
Security
Data
Security
Standards
Data
Security
policy
Data
Security
Governance
Data
Standards
Metadata
Standards
Metadata
Policy
Metadata
Governance
Infrastructure
Strategy and Governance
4. Services Enabled
• GIS enabled information sharing
• Data Visualization and sharing
Citizen
Engagement
• Predictive Analytics
• Likely Scenarios and Decision Support Systems
Data Driven
Decisions
• Enhancement and Automation of Public Facing or
internal Knowledgebase Querying Systems
Artificial
intelligence
• Statistical Inferences and Trends in data over time
to help improve system and processes
Data
Analytics
• Ability to connect data across systems,
departments, agencies
Data
Integration
Infrastructure
Strategy and Governance
5. Strategy Simplified
Strategy and Governance
Governance
Policy
Strategy
•Leverage Existing Governance Processes
•PAL
•Security
•Enterprise Architecture
•AIO/CIO Forums
•Open Data Governance at Department and Agencies
•Create Statewide Data Governance Committee to focus on Data Driven Government
Insights
•Statewide Policies on:
•Data Governance
•Data Security
•Data Standards (Meta Data)
•Data Inventory (Critical and Open Data Systems)
•Data Sharing (Inter and Intra Departments and Agencies)
•Open Data
•Statewide Data Strategy:
•Statewide Data roadmap
•Data Ethics, Privacy and Security
•Data Standards (metadata on forefront)
•Data Driven Government
•Data Driven Government Services and Applications (AI, Predictive Analytics, Chat
Bots, Automation of Decision Support Systems)
6. Stable yet Modern Infrastructure
Infrastructure
Education
Data Science
Curriculum
Data Tools
and
Technologies
Classification
for Data
Scientists
Data
Stewardship
Addressing
Data Bias
Tools and Technologies
Data
Integration
Bus
Analytics
enabling
Services
Artificial
Intelligence
Data Security
Data
Classification
Data Privacy
and Encryption
Data Sharing
Standardization
7. Next Steps
Data Strategy
and Roadmap
Establish
Governance
Enable
Modern
Infrastructure
Provide
Digital
Insights /
Data Services