Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
As organizations seek to extract more strategic value from their data, many are starting to view data governance as an enabler of insight rather than an impediment to its creation. This report explores a leading approach to data governance and the impact it can have on today’s most data-rich organizations.
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
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.
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so starting May 25, 2018.
The right identity and access management solution can integrate with a healthcare provider’s EMR system to help keep sensitive medical data safe—and keep the organization compliant. It can provide valuable insights and visibility into accounts, access privileges and entitlements, across the wide range of users. By closing the gaps in identity protection, organizations can fight the threats of inadvertent misuse and intentional theft that may lead to security breaches.
As security threats increase and government regulations require more control over users and data, it is important for organizations to evolve their security measures. As enterprises rapidly expand their footprints into cloud, mobile and social, they must ensure that the right users have the right access to sensitive data and applications. Strong as well as optimized identities are becoming increasingly important as insider threat and tightened regulations become more prevalent.
Massive shifts within the digital business landscape are sparking immense opportunities and reshaping every sector.
In some cases, complete upheaval is happening at lightning-fast speed. In other instances, digital undercurrents are stirring beneath the surface as organizations scramble to monetize vast volumes and variety of data in an effort to sharpen their competitive edge and not be blindsided by unforeseen events that completely upend existing business models.
While long-standing industry leadership might be no match for the next cool app, agility, speed and the ability to harness more data than was ever imagined is fueling powerful possibilities for reinvention among companies of every size.
Data is following rapidly from mobile devices and social networks, as well as from every connected product, machine and infrastructure. This data holds the potential for deep insights that can replace guesswork and approximations as to locations, behaviors, patterns and preferences. As the w
Data is the hottest topic in business today. In discussions that range from
understanding performance to predicting future outcomes, data is at the core.
However, data has a bad reputation. Because businesses have been collecting data for
decades, the amount that we must analyze can seem insurmountable. Simply saying
“data” is enough to conjure images of someone poring over a thick stack of
spreadsheets, manually going through row after row to identify performance, trends
and figure out what to do with them. This intimidating view is all too common.
Are you ready to tackle Business Process Management
(BPM) for your enterprise? Do you want to improve
efficiency, enhance agility, and also be more profitable? If so,
you’ve come to the right place.
BPM is an approach toward managing how an organization
operates so it better meets the needs of clients. BPM enables
organizations to be more efficient and more capable of change.
BPM is exactly what your organization needs to meet the
challenges of the modern business climate.
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
More so than ever before, agility matters.
A shifting competitive landscape along with heightened
customer demands, technological transformations, digital
disruptions and a host of other trends, combine to create
distinct challenges for business operations executives.
Achieving and maintaining a competitive edge in this climate
requires an advanced framework for pivoting whenever
needed—with minimal cost, maximum efficiency and optimal
outcomes. The question for every enterprise in the current
environment: Do we have the required agility to drive
decision-making capabilities that will continuously sharpen our
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before.
These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements.
To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
Clinical decision support solutions are critical to delivering quality care, but how do you know which tools are most effective? In this video, David Bordewyk, national director for clinical solutions at Truven Health, explains five considerations for evaluating current or prospective solutions. First, the tool should provide evidence-based, actionable recommendations. Learn how to determine whether that’s the case, as well as how to identify tools that provide comprehensive information, information that’s consistent, and information that’s easy to find and access. Additionally, the tool should provide access from multiple types of devices and the vendor should offer ongoing user training and support.
Published By: Polycom
Published Date: Dec 18, 2017
The traditional office space is dead. Chased out by the combining forces of mobility, millennials, and modernity, the advent of collaborative technology and the always connected worker have led to a brave new world of shared, open spaces.
Studies show that up to 82% of knowledge workers feel they need to collaborate with others throughout the day to get work done. Yet, according to an IBM study, 78% say they struggle to effectively connect their workplace and help people collaborate—either virtually or face-to-face1. Why? The answer is not all collaboration is alike.
Download this report to get the latest trends in office space utilization and find out about the three main types of collaboration and how they need to be supported differently in the work environment.
The office may be shrinking, but it’s not going away anytime soon. If anything, the rising demand for more teamwork and collaboration makes the configuration of workspaces more important than ever.
A range of application security tools was developed to support the efforts to secure the enterprise from the threat posed by insecure applications. But in the ever-changing landscape of application security, how does an organization choose the right set of tools to mitigate the risks their applications pose to their environment? Equally important, how, when, and by whom are these tools used most effectively?
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
Countless studies and analyst recommendations suggest the value of improving security during the software development life cycle rather than trying to address vulnerabilities in software discovered after widespread adoption and deployment. The justification is clear.For software vendors, costs are incurred both directly and indirectly from security flaws found in their products. Reassigning development resources to create and distribute patches can often cost software vendors millions of dollars, while successful exploits of a single vulnerability have in some cases caused billions of dollars in losses to businesses worldwide. Vendors blamed for vulnerabilities in their product's source code face losses in credibility, brand image, and competitive advantage.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.