In this paper, we will discuss how cloud-based services, predictive analytics, social media analytics,
big data, and mobile computing are combining to take business intelligence beyond traditional
boundaries and transform the way critical decisions are made. We will also highlight Information
Builders’ solutions and share two use cases, which demonstrate how two organisations – a law
enforcement agency and a retailer – might use available tools and technologies to tap into the
wealth of information available.
In this paper, we explore the benefits of BI and analytics and provide key reasons why
organisations should buy, not build, these capabilities into Saas applications: lower total cost of
ownership (TCO), quick time to value (weeks, not months), and analytics capabilities that you pilot
and price to quickly gauge user experience and potential. Read now.
Reactive decision-making, while successful in the past, has proven ineffective in recent times.
Organisations can no longer wait to make critical choices after an opportunity arises or a
problem is uncovered. They must take a more proactive approach to running their businesses
by anticipating important changes, events, and trends, and taking action before they occur. Read on.
This white paper will highlight WebFOCUS Hyperstage, an effective and economical way for users
of Information Builders’ WebFOCUS BI platform to achieve outstanding reporting and analytic
performance – even in the face of expanding data volumes. Hyperstage is a query-optimized data
store, embedded directly into the WebFOCUS environment. Read on.
In this white paper, readers will learn how to leverage a blend of processes, technology, and industry
best practices to successfully make and sell a business case for data governance. Ten critical steps
will be outlined, from strategy development through presentation. This paper will also highlight
Information Builders’ intelligence, integration, and integrity solutions, and how they can aid in
effective data governance. Read now.
Manufacturers rarely make a sudden strategic decision to implement an enterprise-wide BI solution.
As with most other corporate investments, there’s usually a lightning-rod issue that triggers
exploration and/or an acute need for BI capability. That’s usually an excellent focus with which to
start a BI implementation. It’s also helpful to ensure that the urgent need meets vital parameters
that will allow BI to succeed and grow into an enterprise-wide BI solution. It can be helpful to ask
the following questions: (Read on.)
This paper discusses the most critical factors to consider when selecting a solution to
support a mobile BI environment, covering such important items as functionality, security,
administration, and usability. Read now.
In this white paper, we will examine the five common myths associated with mobile business
intelligence and uncover the facts about cost, implementation, and capabilities. We will also
explain why companies should move forward with their mobile business intelligence projects. Read now.
Creating a framework to ensure the confidentiality, quality, and integrity of data – the core meaning of data governance – is essential to meet both internal and external requirements, such as financial reporting, regulatory compliance, and privacy policies. At its best, data governance roots out risk – both business and compliance risk – by increasing oversight. This white paper provides seven steps for taking such an approach, concluding with a real world example, taking an incremental approach using a repeatable framework that is a practical, proven strategy that any size organization can implement to suit their immediate and long-term needs and budget.
Data quality – the measure of data accuracy, completeness, and consistency across a business – has
become the core focus of information management efforts among many of today’s organisations.
Problems with data quality continue to plague corporations of all types and sizes. In this paper, we will discuss some techniques companies can implement to enhance data quality across the entire enterprise. We will also highlight data quality management solutions, which provide businesses with the ability to effectively and economically enhance the correctness, completeness, and consistency of information in each and every system within their technology infrastructure.
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