business intelligence

Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.

New market entrants are shifting the way the financial sector operates, new business models are changing customer expectations, and ever-changing client demographics are forcing businesses to adapt the way they work. As we move into a decade of artificial intelligence (AI) and digital innovation, huge opportunities are opening up for the financial sector to combat these changes. But with this comes new challenges, and exponential increases in available information must be accompanied by smart tools and processes to make sense of it, ensure regulatory compliance, and add real value to clients. To find out more, download this ebook!

Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe

Knowing where to look and what to watch out for is half the battle. Download this report to understand the most pervasive types of email threats, how security professionals perceive them and what they’re doing to combat them. Most importantly, you’ll walk away with actionable steps to improve your organization’s email security and cyber resilience. Gain valuable insight from 1,025 global IT decision makers on email-based attacks, cyber resilience, business continuity, awareness training and threat intelligence.

Enterprises increasingly operate in a digitally interconnected world where third parties like suppliers, customers, channel partners, and others are often directly connected to their internal IT systems, and where their underlying IT infrastructure may be owned and managed by an outside organization. These business relationships can knowingly or unknowingly introduce different types of risks that need to be identified and managed as if these third parties were part of the enterprise itself. Recorded Future's latest risk intelligence offering enables threat intelligence teams to better understand, monitor, and measure their real-time exposure to these third-party risks. Armed with this information, organizations can better assess and prioritize risk mitigation actions.

Learn how best-in-class companies access information faster to improve key business performance metrics.

This paper can help you achieve successful legacy modernization projects. It presents practical steps for starting application modernization projects and describes the benefits of three high payback strategies. It also reviews the criteria for evaluating a variety of modernization tools.

The key benefit of creating a case management methodology is to multiply its effectiveness by replicating it across the organization's patient-facing departments, practices and functions. In this way, your organization can reduce costs, increase quality and streamline its operations.

Welcome to the future of 24/7, any-time, anywhere access to digital content - where dynamic publishing solutions are the mantra. Is your organization ready for this brave new world of digital content distribution? This whitepaper explores how to prime your organization to leverage rapid digital content consumption as a key to business intelligence.

Have you received your quota for 2011 yet? Wondering how you are going to hit it?as

Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build

Defense and intelligence agencies want to leverage the data they collect so they can use artificial intelligence to enhance readiness – but most who run these programs don’t know how to get started and find it difficult to make the business case to their leadership. In this research report, created by GovLoop in partnership with IBM, which provides innovative technology solutions for national security and military intelligence, you’re going to learn where your peers stand—and some practical tips on how to get started—even if you think your data is “dirty” or not ready for advanced applications.

Business Intelligence helps retailers, warehouse staff, customer services agents, and your value chain realize new innovations, improve margins, and propel profits to new heights. Learn how Ace Hardware, Food Lion, and others leverage our software.

To better understand the benefits, costs, and risks associated with implementation of SAP Business Objects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to provide the conclusions of this cost and benefit analysis.

To better understand the benefits, costs, and risks associated with implementation of SAP BusinessObjects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to report cost and benefit findings

Intent-based networking is the difference between a network that needs continuous attention and one that simply understands what your organization needs and makes it happen. It’s the difference between doing thousands of tasks manually and having an automated system that helps you focus on business goals. Cisco® Digital Network Architecture (Cisco DNA™) is your team’s bridge to an intentbased network. It is an open, extensible, software-driven architecture that accelerates and simplifies your enterprise network operations, while lowering costs and reducing your risk. Only Cisco provides a single network fabric that is powered by deep intelligence and integrated security to deliver automation and assurance across your entire organization at scale. Cisco DNA gives IT time back from time-consuming, repetitive network configuration tasks so you can focus on the innovation your business needs. Cisco DNA automation and assurance are built on a Software-Defined Networking (SDN) controller, ri

As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit

Who among us has not recoiled before the horror of a terrible Interactive Voice Response (IVR) experience? IVR technology was created to save businesses money, but it has mutated into a timesucking, customer experience-crushing monster! If connecting with a customer in this day of customer experience is the goal, there’s a better way! Contain the IVR before it kills another customer relationship. Can we bring the technology to heel and bend it to our will? And can we stop its rampage before artificial intelligence makes it too powerful to be stopped?

Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.

Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.

If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.

From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.

Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.

This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.

For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.