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.
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.
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.
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.
Learn the 4 essential features to bring your accounting system out of the Stone Age.
Modern businesses are, by their nature, complex. But if you're using an accounting system that forces you to struggle with manual processes—limiting your flexibility and draining your productivity—you might as well be stuck in the Stone Age.
But there's great news! It's 2014, and there's never been a better time to make the move to a modern accounting system.
What features should you look for? Download our new checklist, "Essential Features of a Modern Accounting System," to learn how the right accounting system can help you:
• Automate financial processes and optimize workflows to fit your organization's business processes.
• Access real-time data to drive business insight and improve decision making.
• Lower IT costs and reduce technology risks with a best-in-class cloud architecture.
Predictive analytics is a very useful way to "maximize the lifetime value of a customer," which, in many cases, involves optimizing marketing campaigns, increasing website interactions, converting clicks into conversions, and generally providing an intelligent next-best offer. This Roundtable Webcast will explore some of the ingenious ways predictive analytics is being used and driving positive outcomes.
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.
Advanced analytics strategies yield the greatest benefits in terms of improving patient and business outcomes when applied across the entire healthcare ecosystem. But the challenge of collaborating across organizational boundaries in order to share information and insights is daunting to many stakeholders.
To get timely and trusted insights from Risk Analytics while minimizing IT risk and improving time-to-value, IBM is delivering an Application Ready Solution for Algorithmics. This integrated offering, anchored on a validated scalable high-performance clustered reference architecture, delivers the timely risk insights firms need to lower Tier 1 capital.
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.
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.