The current business environment is still characterized by skittishness, tenuous demand and sporadic growth. It’s no surprise then, that 60% of CFOs plan to make major changes to critical finance practices and processes, according to the 2010 IBM Global CFO Study. In fact, 70% of CFOs claim to be taking a more prominent role in enterprise decision making beyond the traditional role of finance.
Yet many CFOs admit to significant gaps in their ability to deliver on this expanded agenda, particularly in their ability to measure and monitor business performance. The IBM study found that those companies that invest in capabilities to expand their business insight are better able to anticipate and react to the unpredictable external forces affecting the economy.
Discover a unique approach to handling large, semi-structured or unstructured time-series data. Splunk can be deployed in a matter of days to provide rapid cross-correlation between different data types-giving you unprecedented operational visibility.
This analyst ROI case study reveals how Ongame, a leading online gaming platform, used Splunk to gain greater visibility and efficiency from their application production process. Discover how Ongame improved DevOps collaboration and reduced downtime.
Using Splunk, Cricket was able to identify system degradation and failures, even in the application area of Cricket's highly-automated and virtualized environment. Read about Cricket's impressive hard and soft ROI.
Read how Splunk enabled WhitePages, the largest on-line directory of people and businesses, to protect the site's content and the brand by monitoring abusive site traffic and learn how Splunk's in-house search eliminated a data warehouse investment.
As renowned cost accounting professor Chuck Horngren
notes, corporate finance executives can deliver the greatest
value by establishing the sturdiest foundation of timely, reliable
and relevant facts. This analytical platform ultimately enables
their organization’s most important measures – including
revenue growth, return on invested capital and profit growth as
measured by EBITDA – to outpace the financial outcomes of
the competition. The goal is to support speed and effectiveness
Published By: Datawatch
Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Published By: Datorama
Published Date: Aug 26, 2014
The extreme complexity of today’s marketing landscape, combined with the abundance of choices available to consumers, means marketers need to approach each marketing decision as intelligently as possible. Download this whitepaper to learn how marketers can utilize omni-channel analytics to garner strategic insights and guide them in the decision making process.
When designing a power protection scheme for their data center, IT and facilities managers must ask themselves whether a distributed or centralized backup strategy makes more sense. Unfortunately, there is no easy answer to that question.
Companies must weigh each architecture’s advantages and disadvantages against their financial constraints, availability needs and management capabilities before deciding which one to employ.
This white paper will simplify the decision-making process and lessen the potential weaknesses of whichever strategy you ultimately select.
Read this Forrester report to learn how digital intelligence can help you combine insights from existing, new and emerging channels to drive timely, customer-obsessed decision-making. Get an up-close look at the disruptive nature of digital intelligence technology and find out how to continuously improve customer engagement.
To compete in today’s rapidly changing business environment, organizations need to capture, analyze and act on information rapidly. If they can quickly identify trends, discover patterns and generate new insights, they can address a wide array of strategic and operational goals—from increasing customer loyalty and creating targeted marketing offers to enhancing operational efficiency and reducing risk. In their 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.
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data – the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data won’t be a challenge, rather, it becomes your resource to smarter, more effective decision making.
Watch this video with Bryan Ball, Vice President and Principal Analyst for Supply Chain Management with the Aberdeen Group to find out why so many companies are turning to B2B collaboration to reduce costs, increase margins, and keep up with the escalating pace of business.
IBM Security offerings can help federal organizations employ a continuous diagnostics and mitigation approach to enhance and automate continuous network monitoring capabilities; correlate and analyze critical data; and increase risk-based decision-making at the federal enterprise level.
Disruptors are reinventing business processes and leading their industries with digital transformations. Learn more about personalized front-line decision making, real time insight driven processes, and ecosystem-based innovation.
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
ODM is the evolution of business rules management. It provides a complete, easy-to-use system for automating day-today operational decisions and allows businesspeople and IT to collaborate on business rules by using an interface and a language that are comfortable and intuitive for both.
ODM not only allows you to automate your business rules, but also it enables you to apply insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. It ensures that you’re making the right decisions at the right time, when it can make a difference.
What can this mean for your business? Adopting operational decision management can:
• Improve customer centricity (acquisition and retention) by engaging individuals at the right time with the right offers
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment:
- They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners.
- They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing.
- They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions.
The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!