Why the Universal Data Hub?

Today’s business leaders are faced with an increasingly fractured vendor landscape leading to operational inefficiency, siloed teams, loss of consumer trust and legal risk and, worst of all, a disjointed customer experience. In a market where companies largely differentiate and scale on customer experience, this makes data strategy a vital component of organizational health.

Download our Universal Data Hub white paper to learn:

  • The 4 Core Problems Created by the MarTech Explosion – The gaps between marketing technologies and the data they leverage, left unaddressed, spread throughout an organization
  • What is a Universal Data Hub? And What are Its Key Tenets? – What it is and what should you look for when considering a centralized platform for your digital marketing stack
  • Functionality Checklist for a Universal Approach to Data – The key functionalities you need to consider and evaluate when implementing a universal data strategy

The data foundation you establish will not only allow for more effective and lucrative marketing now, but is a critical step to delivering on the value of all data sources in the future that are exploding with the advent of mobile, IoT, artificial intelligence and machine learning.

Companies that take a universal approach to data will immediately fill organizational and customer experience gaps, while laying the data infrastructure critical to competing in the future. Download our white paper today to get started.

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9 Hyperion Myths That Are Making You Less Effective

The tools in Oracle's Hyperion suite of software products for enterprise performance management (EPM) and business intelligence (BI) are among the most powerful and effective applications available to corporate environments. However, it's also true that with the great power of Hyperion comes great responsibility -- which many organizations struggle with.

EPM systems like Hyperion are mission-critical, but they can be complicated and mercurial to manage. If you're a Hyperion administrator, manager or even a finance director, you're almost certainly well familiar with crashes, bugs, and performance issues, and you know that they can delay reporting and take hours or even days to fix.

This white paper has aimed to bust some of the biggest myths surrounding Oracle Hyperion performance management. When you have the right tools at your disposal, the idea that Hyperion performance management is difficult, time-consuming and expensive isn’t just incorrect, it’s holding your business back.

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Cut Costs and Improve ROI: Turn Hyperion EPM Pain into Business Gain

These days, data is one of an organization's most valuable currencies. Of course, the more companies come to rely on accurate, up-to-date data, the more painful it becomes when they start to have problems with data analysis and reporting. These pain points can come in many forms, including missing and inaccurate data, late reports, and overlooked insights.

In far too many cases, these challenges are a result of problems with the Oracle Hyperion enterprise performance management (EPM) software suite. Although Hyperion has incredible advantages, it can also suck up valuable time and effort. As a result, even the most well-intentioned companies are distracted from focusing on their core revenue-generating business initiatives.

The good news is that organizations don't have to live with chronic Hyperion pain. By joining forces with a skilled partner who has extensive knowledge of and experience with Oracle applications, and the resources to provide a complete view of the inner workings of the Hyperion engine, companies can cut costs, become more efficient, and liberate their employees to work on higher-level core activities.

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Webcast: Splunk at Scale

As Big Data Analytics become mainstream, an increasing problem Splunk users see is how to scale infrastructure to handle exponential data growth and query workload. GTRI, the most credentialed Splunk partner globally, has teamed with flash storage pioneer Pure Storage to deliver a recipe for scaling Splunk infrastructure. Attendees will learn: - How to scale Splunk infrastructure without adding infrastructure management - When to make the move from direct-attached storage to all-flash SAN infrastructure - Why customers are saying “there is no cold data in analytics"

Speakers:

  • Scott DeMoss, Solution Architect, GTRI
  • Somu Rajarathinam, Solution Architect, Pure Storage
  • Radha Mangha, Solution Architect, Pure Storage
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Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

View Now

Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

View Now

Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

View Now

Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

View Now

Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

View Now

Navigating the Complexity of Big Data Transformation

Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.

In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.

For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.

View Now

Escape from the Cell: A Revolutionary Approach to Complex Spreadsheets

Since the advent of VisiCalc nearly 40 years ago, organizations have increasingly relied on spreadsheets for analysis, reporting, and other uses. As the need for decision speed and precision have escalated, however, business and analytic personnel alike have discovered that the lack of version control, large data sets, and cumbersome analytic tool integration now limit the usefulness of their spreadsheets. Many are looking for a way to supercharge their Excel capabilities. The question is how?

Read this fact sheet to learn how to evolve beyond what spreadsheets alone can achieve. FICO® Optimization Modeler is an advanced analytic platform that helps business experts solve their most challenging, mission-critical problems with powerful, fast and easy-to-use optimization tools. Its rich simulation, visualization and reporting capabilities immediately help transform business scenarios into compelling solutions, while allowing for easy import and export between third party analytic modeling tools and even your complex spreadsheets. Download now and learn more!

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Escape from the Cell: A Revolutionary Approach to Complex Spreadsheets

Since the advent of VisiCalc nearly 40 years ago, organizations have increasingly relied on spreadsheets for analysis, reporting, and other uses. As the need for decision speed and precision have escalated, however, business and analytic personnel alike have discovered that the lack of version control, large data sets, and cumbersome analytic tool integration now limit the usefulness of their spreadsheets. Many are looking for a way to supercharge their Excel capabilities. The question is how?

Read this fact sheet to learn how to evolve beyond what spreadsheets alone can achieve. FICO® Optimization Modeler is an advanced analytic platform that helps business experts solve their most challenging, mission-critical problems with powerful, fast and easy-to-use optimization tools. Its rich simulation, visualization and reporting capabilities immediately help transform business scenarios into compelling solutions, while allowing for easy import and export between third party analytic modeling tools and even your complex spreadsheets. Download now and learn more!

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FICO Opens Up the Complex World of Optimization to Business Analysts

At FICO, we’ve witnessed organizations across all industries increasingly realize the benefits of a bottoms-up approach to tackling their most complex challenges. By simply outlining broad objectives and then enabling their business analysts with the right tools and software, enterprises can see huge improvements in profitability, customer retention, and other key metrics.

FICO is on the frontlines of this evolution, especially when it comes to optimization. Not only do we provide cutting-edge, highly-scalable software and solutions, we’ve also developed a proven optimization methodology at the analyst level.

Please download this executive brief to learn more about how FICO can train and equip your business analysts to deliver optimal strategies and continuous improvement.

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Big Data Opens the Door for Prescriptive Analytics

Making customer-focused decisions that balance risk and profit just keeps getting harder. Even when you think you have the right criteria to make decisions, optimizing the outcomes can be even trickier.

So many factors impede your ability to make the smartest possible decisions: Oceans of big data that distort rather than clarify. Regulations that vary across regions. Customers who want an offer, fast, or else you’re going to lose them.

To be truly successful, organizations have to put advanced analytics into the hands of their lines of business, not just the data scientists and operations researchers who have traditionally owned this domain. At the same time, these tools need to be highly configurable in order to avoid overloading the IT department.

This white paper covers how the collision of economic, technological, and human factors mandates a new approach to decisions that will solve these challenges and leverage prescriptive analytics across the enterprise.

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