Written by Jill Dyche and Kimbery Nevala, 10 Mistakes to Avoid When Launching your Data Governance Program lays out a comprehensive list of issues that can trip up an organization as it gets started with DG. Learn how to use good judgment and sound decision making to sidestep these common issues.
Your company’s culture is indispensable in informing the right way to govern data, a point we hope to drive home in this white paper. When you review the mistakes that otherwise earnest companies have made in their quests to apply rigor to their data, you’ll see why our mantra is: There is no template for data governance. And hopefully, you’ll realize what you need to do now.
This document focuses on the trends that are driving decision-making on cloud including the growing connection between cloud, mobility, and data; cloud services governance and integration; and continuing development of cloud ecosystems among vendors.
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
Like other IT leaders, you know you have to modernize your IT infrastructure to become more productive, efficient, agile and competitive. So what's holding you back? Many organizations are still devoting anywhere from 60% to 80% of their time, energy, human resources and budget to supporting legacy systems rather than develop transformative solutions.
Our new eBook, Your 3-step roadmap to IT modernization, will help you align your approach to IT with the way your business works today — and the way you will work in the digital age:
• Increased mobility, multiple device formats and distributed workgroups
• Greater collaboration with outside organizations, including customers, suppliers and partners
• Essential enterprise risk management features such as compliance, legal, security and data governance
Here you'll learn the three stages of IT modernization — from realigning your infrastructure to updating business processes — so you take the right steps.
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015.
This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
Published By: Winshuttle
Published Date: Apr 18, 2017
How can a finance and/or controller professional access SAP FICO data leveraging Microsoft Excel in a highly usable and interoperable fashion while respecting all of the SAP core security and governance controls?
In order to fully explore this question, this white paper highlights five valuable ways to leverage Microsoft Excel to reduce Finance & Controller operational costs while making your SAP FICO systems implementation, management and maintenance life easier.
Published By: Commvault
Published Date: Jul 06, 2016
The data growth explosion facing most organizations today is coinciding with the mounting demands of stagnant IT budgets and an increased need to retain data for both governance and resiliency needs. At its core, data must not only be retained but also efficiently accessed and analyzed to unlock its embedded value.
Published By: Forcepoint
Published Date: Jun 06, 2019
Today’s employees demand greater flexibility, productivity, and mobility. And while cloud and BYOD policies have answered that call, they’ve also added unforeseen complexities the way IT manages data security and compliance.
How can you balance productivity and risk in SaaS environments? “A Guide to Achieving SaaS Security and Compliance” deconstructs the idea that cloud security and user productivity are mutually exclusive.
This whitepaper includes guidance on how to:
Select SaaS providers that follow the very same external standards (e.g., PCI DSS) as your organization.
Apply the same in-house security, governance, and compliance principles to cloud services.
Leverage tools and processes to gain visibility, control access, and protect data in your SaaS environment.
We’re experiencing a data explosion. By 2020 the data we create and copy annually will reach 44 trillion gigabytes.1 As this data disseminates into the workplace, companies add hardware and software systems to store, protect and manage it all. While data can help solve business problems, data is most helpful when it reaches those who can use it. Companies need to build Microsoft SharePoint apps that integrate with other line-of-business (LOB) systems so users can take full advantage of this data explosion.
But the reality of creating apps that integrate data across organizational systems presents an intimidating challenge. To integrate multiple isolated data sources into an application that transforms data into useful information requires technical expertise, coding and ongoing maintenance. Integration also raises security and governance concerns. So it’s no surprise that only 47 percent of SharePoint users have connected their SharePoint apps with other systems.2 As a result, nearly
Data governance is all about managing data, by revising that data to standardize it and
bring consistency to the way it is used across numerous business initiatives. What’s
more, data governance ensures that critical data is available at the right time to the
right person, in a standardized and reliable form. A benefit that fuels better organization
of business operations, resulting in improved productivity and efficiency of that
organization. Thus, the importance of proper data governance cannot be understated.
The concepts of data governance have evolved, where the first iteration of data
governance, often referred to as version 1.0, focused on three simplistic elements:
objectives, structure and processes; having a limited focus and scope due to its
tactical usage. The opportunity from the growing value of data in the realm of
analytics, business intelligence, and generating insights was left unrealized. Today,
organizations are moving towards what can be called Data Governance 2.0,
Published By: Zynapse
Published Date: Sep 10, 2010
UNSPSC enables preference item management, better spend analysis, supply standardization and information control.
Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.
Published By: DataFlux
Published Date: Jan 07, 2011
This white paper, the first in a sequence, addresses the question, "who, specifically, are those right groups and right people?" on several different levels. It also highlights underlying principles that, properly applied, lead to solid answers to the "who" questions for a wide variety of scenarios.
Keeping up with ever changing contract management work is challenging. Governing legal and procurement content is written by thousands of people and applied to hundreds of situations. To stay compliant, organizations employ knowledgeable professionals to analyze every sentence to determine the changes that need to be made to company contracts. The manual process of sifting through these dense, complicated documents is inefficient and prone to error.
Watson Compare and Comply is trained on contract specific knowledge and classifications and can streamline contract workflows through semantic understanding.
Join Director of Watson Offering Management, Adam Orentrichler, and Chief Data Scientist of SAP Ariba, David Herman, as they discuss how Watson can transform the way your company manages contract governance.
We do business in the age of information. The amount of data, the number of sources, the uses for data, and the routes that it travels have all been growing at an exponential rate. The importance of managing, securing, sharing and measuring information is the core of Information Governance. IG enables organizations to extract the value of information to make better business decisions, but how to go about the massive task is harder to grasp.
Published By: Datastax
Published Date: Oct 21, 2019
A recent Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider (CSP). As databases move to the cloud, the database management service vendor landscape is shrinking, and data governance and integration are becoming more complex.
Are you ready for the impact of multicloud deployments on data and analytics strategies in your own organization?
This new Gartner report on multicloud and intercloud data management provides an impact appraisal along with recommendations for leaders planning to incorporate multiple CSPs into their data management strategies.
Compiled from real life use cases, Blue Hill Research examined how organizations are gaining greater value from their archive of user data, converging data availability, archiving and governance to meet their wider data management needs.
Securing cloud environments is different from securing traditional data centers and endpoints.
The dynamic nature of the cloud requires continuous assessment and automation to avoid
misconfigurations, compromises, and breaches.
It can also be difficult to gain complete visibility across dynamic and rapidly changing cloud
environments — limiting your ability to enforce security at scale. On top of these challenges, cloud
governance is critical to maintain compliance with regulatory requirements and security policies as
Because cloud deployments are not just implemented once and left untouched, organizations need
to consider how to integrate security into their CI/CD pipeline and software development lifecycle.
Implementing a security solution that addresses cloud challenges requires deep security and cloud
expertise that organizations often do not have.
Once in the cloud, organizations manage and create environments via automation, adapt their
workloads to changes by automa
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning.
Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law.
Get insights into:
How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics
An overview of the key market challenges for delivering a unified data management and governance model
Real-world case studies from G-SIBs focused on data governanc
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with
European customers — regardless of location — must make considerable governance, people, process,
and technology changes to comply with the new rules. While companies have made progress, more work
remains. To succeed, they must tackle key challenges, including data identification, mapping, and access
management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity.
This is a transformation for a data-savvy world, with the potential to yield enhanced customer and
business benefits. Investment in solutions with data privacy, security, and compliance offerings that can
protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along
their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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