Business Intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all of the factors that affect your business. It is imperative that you have an in depth knowledge about factors such as your customers, competitors, business partners, economic environment, and internal operations to make effective and good quality business decisions. Business intelligence enables you to make these kinds of decisions.
Join Gartner and IBM for an informative webinar where you will learn how to combine best of breed analytic solutions to provide a low latency, shared big data infrastructure. This helps government IT departments make faster decisions by analyzing massive amounts of data, improving security, detecting fraud, enabling faster decisions and saving cost by optimizing and sharing your existing infrastructure.
As today’s marketing analytics requirements become increasingly cross-channel and real-time, your organization can’t risk crude integration between marketing and analytics assets. Together, these assets must work like a well-oiled machine. So what can you do? Should you integrate standalone marketing and analytics systems? Watch this to discover answers from industry experts.
Learn about the central issues that tend to be consistent across all Request for Proposals (RFPs) and see what questions you should be asking in order to maximize the efficiency of your mission critical data center.
BrightEdge tapped into its massive Data Cube repository to provide a comprehensive view into the channels that drive traffic and the types of content that perform best. BrightEdge created this report to help brands understand the actual performance of site content by channel and by industry.
Download this FREE whitepaper from CRM magazine and earn how your company can reap the full benefits of predictive analytics, by bridging the chasm between building predictive models, and actually deploying them.
Two sweeping trends have emerged in recent years: the proliferation of customer channels and the resulting explosion in the amount of data produced. This whitepaper focuses on how Knowledge Management adds an essential layer of value to customer-facing systems, which ultimately drives improved customer experiences.
Watch this Gigaom Research On-Demand Webinar ; we will examine the immediate need to extend identity to customer audiences, the risks of doing so using legacy software, and the most effective path businesses can take to build for the future while recognizing value today.
Data volumes are getting out of control, but choosing the right information lifecycle governance solution can be a huge challenge, with multiple stakeholders, numerous business processes, and extensive solution requirements. Use this requirements kit from the Compliance, Governance and Oversight Council (CGOC) to find the tools and technology you need.
Today, the open API is one of the most powerful sources of competitive advantage. It comes down to the potential of your data and services. Download this new eBook to learn how a well thought-out API strategy can help you compete and grow in new ways.
Digitalization—the process of exploiting digital information to maximize business success—has increased the value of your data to the point where it is arguably your most important asset. This paper explains why mastery will not be possible with merely adequate integration technology.
As executives witness data’s proven impact on performance and innovation and recognize its strategic significance, they also realize the growing need for a leader whose primary role is to understand and advocate on behalf of data: The Chief Data Officer.
In this report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
With so much emphasis in the business world being placed on big data and analytics, it can be easy for midsize businesses to feel like they’re being left behind. These organizations often recognize the benefits offered by big data and analytics, but have a hard time pursuing those benefits with the limited resources available to them.
Join us on June 25th at 2PM BST to find out how to detect sophisticated cyber attacks using network logging technologies and learn how you can use these technologies to create an audit trail of network activity.
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.
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.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.