Tibco Whitepapers
This guide reviews how predictive analytics helps your organisation predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes. It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from beginners, to experienced analysts, to data scientists
We live in a real-time world, and so too should enterprise applications. In our 25-criteria evaluation of streaming analytics providers, we identified the 13 most significant ones — Amazon Web Services, Datatorrent, espertech, Fico, IBM, impetus technologies, Microsoft, oracle, SAP, SAS, Software AG, SQlstream, and TIBCO Software. We researched, analysed, and scored them and this report shows how each provider measures up and helps application development and delivery (AD&D) professionals make the right choice.
The BI market has shifted to more user-driven, agile development of visual, interactive dashboards with data from a broader range of sources. Data and analytics leaders should augment or upgrade traditional BI platforms to modern platforms that improve business value and speed time to insight.
This report examines the challenges and evaluation criteria of three organisations looking to address gaps in their existing analytics. The research subjects included a multi-national biotechnology firm, a global petrochemical firm, and a mid-sized financial services firm. And although unique in industry, they shared common challenges including: Challenges with legacy solutions, the limitations presented by their default reporting tools, and difficulty in seeing the “full picture” when conducting analysis.
This ebook looks at how you can make better decisions and take instant action with fast data as well as how fast data future proofs your business. Learn: how you can use fast data to truly make a difference in customer loyalty and revenue, the four step process to decision-making and action-taking, how being event driven can both improve system performance and business outcomes.
In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Find out: how predictive analytics moved from government conceptual models to the corporate mainstream, the six business uses of PA that provide the best benefits across a wide array of industries and the best practices for enterprises to support their decision-making and future outcomes.
The fact that digitalisation exists doesn’t mean it’s available and actionable. This paper explains why true integration is not possible with merely adequate technology.
• Digitalisation improves user experience, availability and performance, processing power and decision-making • You owe it to yourself and your organization to go beyond “good enough” • Using a proven platform will mean improved business agility with the ability to establish new partnerships
This paper explains why, with big data, it’s not about the type, amount or speed of data, but rather what we do with that data and the speed at which we do it.
• Business intelligence reports and dashboards simply won’t give you with the level of detail and agility you need • Analytics can help gain a competitive advantage, but developing analytics maturity will help sustain that • This paper walks through each step of the analytics maturity journey, providing insights into the capabilities and tools to consider
This whitepaper will explain how to grow your business by sharing enterprise data and services via application programming interfaces (APIs).
• Open APIs, once used only by leading technology companies such as Amazon and Facebook, have become much more prevalent • Open APIs are projected to reach 30,000 by 2016, compared to less than 600 in 2007 • A well thought-out open API strategy can drive innovation and help you compete in today’s business environment.
Cultivating customer loyalty today is more challenging than in the past. This paper explains why creating closer customer relationships depends on master data management.
• Customers today expect all of your attention, instant access to information, and a uniform brand experience • If you can get fast access to data and respond quickly and correctly, results can include closer customer relationships and fierce loyalty • With MDM, an organization that lacked a single trusted view can instantly respond in real time, take advantage of opportunities, avert problems before they escalate