it governance

In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.

Information management is getting harder. Organizations face increasing data volumes, more stringent legal and regulatory record-keeping requirements, stricter privacy rules, increasing threat of breaches and decreasing employee productivity. Companies are also finding that their old-fashioned, legacy archive strategies are increasingly ineffective. This is driving many organizations to rethink their approach, developing more modern Information Governance strategies.

Information management is getting harder. Organizations face increasing data volumes, more stringent legal and regulatory record-keeping requirements, stricter privacy rules, increasing threat of breaches and decreasing employee productivity. Companies are also finding that their old-fashioned, legacy archive strategies are increasingly ineffective. This is driving many organizations to rethink their approach, developing more modern Information Governance strategies.

In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.

IBM Cloud Identity helps you secure user productivity with cloud-delivered Single Sign-On (SSO), multifactor authentication, and identity governance. It comes with thousands of pre-built connectors to help you quickly provide access to popular SaaS apps; and pre-built templates to help integrate in-house apps.

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.

Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic: • Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. • Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick “wins” and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi

"Adopting the Best Practices for Ongoing Data Management"

Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization

Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.

Die digitale Transformation ist für mittelständische Unternehmen (100 bis 999 Mitarbeiter) ein absolutes Muss, um im digitalen Umfeld erfolgreich zu sein. Durch eine digitale Transformation können sich Unternehmen mehr Wettbewerbsvorteile verschaffen, indem sie Geschäftsprozesse automatisieren, operative Abläufe effizienter gestalten, Kundenbeziehungen vertiefen und neue Umsatzströme durch Produkte und Services generieren, die auf modernsten Technologien basieren. Die digitale Transformation kann durchaus als Reise gesehen werden, die damit beginnt, dass Unternehmen eine IT-basierte Vision entwickeln. Diese führt dann zu einer datenorientierten Strategie, bei der Analysen im Mittelpunkt stehen. Das Ergebnis solcher Initiativen hängt von der Fähigkeit des Unternehmens ab, Menschen, Prozesse, Plattformen und den Aspekt Governance effizient zu nutzen, um die Geschäftsziele des Unternehmens zu erreichen.

HPE Helion—Hewlett Packard Enterprise’s portfolio of cloud products and expert services built on an open architecture with support for a wide variety of environments—is designed to help you be successful in the Idea Economy. It realizes the potential of hybrid and the power of cloud with the experience, governance, and technology you need to accelerate your business.

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.

For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.

This report from the Information Governance Initiative explores the challenges that five different organizations faced in reaching their information governance goals and how they overcame them.

As of May 2017, according to a report from The Depository Trust & Clearing Corporation (DTCC), which provides financial transaction and data processing services for the global financial industry, cloud computing has reached a tipping point1. Today, financial services companies can benefit from the capabilities and cost efficiencies of the cloud. In October of 2016, the Federal Deposit Insurance Corporation (FDIC), the Office of the Comptroller of Currency (OCC) and the Federal Reserve Board (FRB) jointly announced enhanced cyber risk management standards for financial institutions in an Advanced Notice of Proposed Rulemaking (ANPR)2. These proposed standards for enhanced cybersecurity are aimed at protecting the entire financial system, not just the institution. To meet these new standards, financial institutions will require the right cloud-based network security platform for comprehensive security management, verifiable compliance and governance and active protection of customer data

Download this infographic to learn 5 common myths about EMR Transition and enterprise-wide information governance revealed in a survey conducted by Iron Mountain.

This white paper describes findings from the first major survey of information governance practices at healthcare organizations.

Do you have an effective cloud governance plan? This whitepaper guides you through best practices for ensuring your applications and data can safely move between clouds - whether they are private, public or hybrid.

Organizations around the world are benefiting from public clouds. But, when production applications or critical data is involved, it's important to extend on-premise governance to your public or hybrid cloud resources. Effective cloud governance is possible.

Without document classification in play, it's impossible to know what to protect. The mobile ecosystem makes workers infinitely more productive, which is one reason that it won’t go away. This white paper explores the question: How can IT govern and protect content in such ad hoc and semi-structured environments? Please download whitepaper to learn more.

IT Leaders See security as barrier to enabling employees. However with new Business assurance technology you are able to give Continuity, Agility, and Governance. With Blue Coat you can deliver business continuity by protecting against threats and data loss, extend protection and policy to users in any location on any device ,safely deploy and consume all types of applications, align IT infrastructure with business priorities to assure and accelerate user experience across the extended enterprise and make risk management tradeoffs and enforce compliance.

The survey conducted by Loudhouse Research of 1,010 executives with responsibility for governance, risk and compliance (GRC) in their organizations found increasing risk and regulation complexity is now the biggest pressure on organizations’ GRC functions.

To ensure that “quasi-insiders” or third parties do not contribute to your enterprise’s attack vector, it’s imperative to develop a third-party governance process to mitigate risk. Read on to find out how.

This whitepaper looks into Governance, compliance, control, and audit, and how its been traditionally treated as afterthoughts, or even irritants, in the financial modules of classic “big ERP” software. It has been easy and, unfortunately, typical to ignore this topic when planning, building, and evaluating enterprise business software. Control concepts are not as urgent as transaction processing, as visible as financial reporting, or as exciting as analytics so they are almost always an afterthought. Today we can’t afford for governance to be an afterthought, and from day one Workday was built with that in mind.