Business Intelligence (BI) has become a mandatory part of every enterprise’s decision-making fabric. Unfortunately in many cases, with this rise in popularity, came a significant and disturbing complexity. Many BI environments began to have a myriad of moving parts: data warehouses and data marts deployed on multiple platforms and technologies – each requiring significant effort to ensure performance and support for the various needs and skill sets of the business resources using the environment. These convoluted systems became hard to manage or enhance with new requirements. To remain viable and sustainable, they must be simplified.
Fortunately today, we have the ability to build simpler BI technical environments that still support the necessary business requirements but without the ensuing management complexity. This paper covers what is needed to simplify BI environments and the technologies that support this simplification.
Filled with exotic terms like “Hadoop” and “Data Scientist”, Big Data, business intelligence and analytics have always been the domain of the biggest enterprises with huge teams to devote to analyzing data. But thanks to the latest technology advances businesses of almost any size can utilize tools to help inform every part of business decision-making. This SlashGuide looks at a recent Slashdot Pulse research study on BI/BA and discusses what’s really important when it comes to Big Data – and what businesses can do now to capitalize on the trend.
There is an exponential increase in connected devices that are producing data about our homes, health, cars, and everything in between. The Internet of things (IoT) is exploding into apps that allow users to see and interact with these devices. Watson can enable IoT apps to understand the meaning and intent of the users that interact with these connected devices. Check out this upcoming webcast to learn how the cognitive services from IBM Watson available on Bluemix can make IoT apps be intelligent, overcome complexity, and support discovery and decision making.
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data – the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data won’t be a challenge, rather, it becomes your resource to smarter, more effective decision making.
Watch this webcast to learn how Pacesetters are using SaaS to provide their entire enterprise with a wide range of powerful benefits. SaaS can reduce costs, yes. But more than that, SaaS can engender rich and far reaching collaboration, lead to better decision making, and help your organization be more customer-focused and agile in the marketplace.
That's not to say that the route to the winner's circle won't take some planning and preparation. You can start by asking yourself the right questions.
Watch this video with Bryan Ball, Vice President and Principal Analyst for Supply Chain Management with the Aberdeen Group to find out why so many companies are turning to B2B collaboration to reduce costs, increase margins, and keep up with the escalating pace of business.
There is an exponential increase in connected devices that are producing data about our homes, health, cars, and everything in between. The Internet of things (IoT) is exploding into apps that allow users to see and interact with these devices. Watson can enable IoT apps to understand the meaning and intent of the users that interact with these connected devices. Check out this webcast to learn how the cognitive services from IBM Watson available on Bluemix can make IoT apps be intelligent, overcome complexity, and support discovery and decision making.
IBM Security offerings can help federal organizations employ a continuous diagnostics and mitigation approach to enhance and automate continuous network monitoring capabilities; correlate and analyze critical data; and increase risk-based decision-making at the federal enterprise level.
Make the right decisions to define the right features and functions to build into your products for reaching the right market at the right time. Learn about making better product decisions with a Rational Focal Point solution for product portfolio management.
Reducing costs is still a primary reason companies turn to Software as a Service (SaaS). But those at the front of the pack, like cloud leaders in general, are discovering how SaaS can help them achieve a much broader and more strategic goal—unlocking competitive advantage. These cloud leaders, called Pacesetters, are finding the reduced TCO is only the beginning of advantages offered by SaaS. Read this paper to learn how and why reducing TCO is just the beginning of the benefits offered by SaaS.
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making.
In this webcast we will explore how you can deliver services and improve outcomes for your citizens through cross program care coordination and collaboration. This coordination and collaboration is enabled by the extensive use of data, resources and a single view of the citizen which in turn helps improve decision-making, problem-solving and program implementation.
Disruptors are reinventing business processes and leading their industries with digital transformations. Learn more about personalized front-line decision making, real time insight driven processes, and ecosystem-based innovation.
Five years ago in a Harvard Business Review article on how companies leveraged
HR analytics for competitive advantage, my co-authors and I found only a small
handful of companies to interview. Today, life is very different. Interest in analytics
and storytelling through data in HR is booming. But, HR as a whole is still
learning how to set up an effective analytics function. That is why I welcome this
report. The first 100 days of any effort is critical to success. Analytics is no
Lead authors of this report and the people they have interviewed have sat in
analytics roles in HR. They’ve learned a lot about what works and what doesn’t.
Here’s an opportunity to learn from those who have already undertaken this
particular journey. They know that to succeed in analytics one needs to:
• Focus on business priorities
• Leverage your analytics through storytelling
• Use analytics to help inform decision making, not as a substitute
• Understand that perfect data isn’t required for a
"The market buzz around APIs has distorted executive's thought processes about how to make money from APIs. Our guest speaker, Forrester analyst Randy Heffner, will tell the real truth about how to drive value from APIs. Who Should Read/View This webcast: business audience
Attend to also learn how to:
Provide business users with real-time information for more informed decision making
Leverage the latest cloud, mobile, and analytics enhancements in IIB v10
Use the IIB Healthcare Pack to accelerate development and deployment of integration solutions
Who Should Attend this Webcast: business audience"
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.