With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
As the information age matures, data has become the most
powerful resource enterprises have at their disposal. Businesses
have embraced digital transformation, often staking their
reputations on insights extracted from collected data. While
decision-makers hone in on hot topics like AI and the potential of
data to drive businesses into the future, many underestimate the
pitfalls of poor data governance. If business decision-makers can’t
trust the data within their organization, how can stakeholders and
customers know they are in good hands? Information that is not
correctly distributed, or abandoned within an IT silo, can prove
harmful to the integrity of business decisions.
In search of instant analytical insights, businesses often prioritize data
access and analysis over governance and quality. However, without
ensuring the data is trustworthy, complete and consistent, leaders
cannot be confident their decisions are rooted in facts and reality
IBM® Information Governance Catalog helps you understand your
information and foster collaboration between business and IT by establishing
a common business vocabulary on the front end, and managing
data lineage on the back end. By leveraging the comprehensive capabilities
in Information Governance Catalog, you are better able to align IT
with your business goals.
Information Governance Catalog helps organizations build and maintain
a strong data governance and stewardship program that can turn data into
trusted information. This trusted information can be leveraged in various
information integration and governance projects, including big data integration,
master data management (MDM), lifecycle management, and
security and privacy initiatives.
In addition, Information Governance Catalog allows business users to
play an active role in information-centric projects and to collaborate with
their IT teams without the need for technical training. This level of governance
and collaboration c
These days, everyone's talking about digital transformation. But exactly how does your company get there?
Capture is a great place to start — in fact, it's one of the most critical steps to take as you move your business into the digital age. Whether it’s simply using OCR to make content more easily discoverable, adding and enhancing metadata to drive specific processes, or classifying content from the onset for better information governance, capture adds a ton of value to your existing content assets.
This ebook details our key takeaways from AIIM's Industry Watch Report, Improving Business Operations in 2017: Capturing Vital Content. We share how cloud-based capture tools are replacing the longstanding legacy of paper-based processes to streamline and speed up the way you do business.
Download the ebook to learn:
• How the latest capture innovations can support your digital strategy
• 5 business processes that benefit most from advanced capture technologies
• The key benefits of c
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
For data-driven businesses, cloud can be a boon. Data can be found, processed and managed on the cloud without an investment in local hardware infrastructure, but what does that mean to information trust and governance? When data comes from cloud-based sources, IT needs a plan for data integration and security.
Download this insightful white paper and learn the four key priorities you must consider when developing your IT strategy to promote good hybrid information governance. Learn the blend of process, organizational and technical enablers that will allow you to move to a hybrid environment with speed and confidence.
"Industry experts predict that successful businesses will soon become 100% digital for all transactions. The key challenge is how to “go digital” in the right ways. For most companies, it will be an incremental journey.
TodaysGeneralCounsel.com suggests that organisations should focus on a broad enterprise-wide information governance strategy developed by IT, legal, records and business stakeholders. Doing so improves governance, risk management and compliance programs.
This best practices paper outlines seven important ways that legal teams can make meaningful progress in their digital transformations."
Business leaders are eager to harness
the power of big data. However, as the
opportunity increases, ensuring that source
information is trustworthy and protected
becomes exponentially more difficult. If not
addressed directly, end users may lose
confidence in the insights generated from
their data—which can result in a failure to
act on opportunities or against threats.
Information integration and governance
must be implemented within big data
applications, providing appropriate
governance and rapid integration from
the start. By automating information
integration and governance and employing
it at the point of data creation, organizations
can boost confidence in big data.
A solid information integration and
governance program must become a
natural part of big data projects, supporting
automated discovery, profiling and
understanding of diverse data sets to
provide context and enable employees
to make informed decisions. It must be
agile to accommodate a wide variety of
data and seamle
Published By: Diligent
Published Date: Jul 10, 2017
Data is everywhere - on moblie devices, in the cloud, in transit. The Accumulation of data and the rise of business using data to better hone their practices are rapidly evolving as data comes from various platforms and in different forms.
Data growth, new technologies and evolving cyber threats create challenges for organizations looking to set the strategies, framework and policies for keeping all of that information secure.
Digital transformation is a concept on every IT and business leader’s mind, from improving back-office operations to creating better front-office experiences.
Yet when it comes to adopting the latest information management technologies and digitally transforming operational processes, some organizations are further along than others. Download this report to find out how your organization stacks up.
Learn from this TDWI paper how right-sized information governance can improve the success of data warehousing or big data analytics initiatives, and how a chief data officer can help organizations to appreciate the value of data and its importance to their decisions and operations.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Published By: Datastax
Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries.
However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.
The benefits of moving data to the cloud are touted everywhere, but doing so without an information governance plan in place can cause more problems than it solves. Information governance (IG) is increasingly cited as one of the top five initiatives for companies to tackle over the next two years.