Showing posts with label Ventana Research. Show all posts
Showing posts with label Ventana Research. Show all posts

Monday, June 21, 2010

Business Intelligence and Performance Management for the 21st Century

Ventana Research is a benchmark research and business technology advisory firm. They usually publish good studies, researchs and white papers. They also have a good blog, where they publish posts on the business, IT, technology and industry issues. Recently, Intelligent Enterprise published a great article about a new study by Ventana Research, entitled Business Intelligence and Performance Management for the 21st Century. According the article, Ventana Research undertook this benchmark research to assess the current state of maturity, trends and best practices. The goal was to determine how organizations approach BI and performance management and prioritize their key components, and to identify what elements they desire in a comprehensive approach.

The research found strong interest in and growing demand for BI and performance management. However, the research paints a picture of a market in an early stage of development. It shows that most organizations face considerable obstacles. According the study, they have only basic BI capabilities such as querying sources for specific data (74%), generating reports from data (74%) and accessing data from a spreadsheet for further analysis (70%). These and other findings lead Ventana to conclude that in general, organizations are still maturing in their use of BI and performance management. Organizations’ most important goals in deploying BI tools are to provide access to data through a variety of tools (cited by 57% of participants), to make it possible to apply analytics to the data easily (61%), and to communicate and collaborate on the analytics (55%).

Based on the research, Ventana listed 10 recommendations on how to proceed. Below is a summary of Ventana's recommedation:

1. Assess your organization’s maturity in BI and performance management. Applying the Ventana Research Maturity Index methodology, Ventana found that only 15 percent of organizations reach the "Innovative" level in all four functional categories of maturity (People, Process, Information and Technology). Ventana's analysis also reveals that maturity across these categories is uneven. From a technology perspective, organizations still use spreadsheets and e-mail too often to perform BI tasks. Examine your own capabilities in each of the four maturity categories and research how organizations that rank higher are able to do so.

2. Consider the effectiveness of your current tools and applications. Ventana found that most organizations have at least some doubts about the technology they currently use for BI and performance management. Only 12 percent of participants said they are completely confident in their BI technology, and only 9 percent made that assertion for the technology they use to manage performance. Explore users’ feelings about the tools they use and identify to tools that should be replaced.

3. Reduce the number of BI tools and the use of spreadsheets. BI systems have been around for years now, yet all but 10 percent of participants said they have at least some degree of difficulty standardizing BI into a consistent and reliable technology. Spreadsheets are an impediment to collaborative processes in enterprises. They are prone to errors and conflicts in data between files that are thought to be the same. Ventana advises taking steps to reduce the number of BI tools in use and standardize them. This research reinforces the many past findings that spreadsheets should not be used for this or any collaborative, enterprise purpose.

4. Compare the BI capabilities you have with those you want. The research shows that most participating organizations have deployed or are deploying basic BI capabilities such as querying sources for specific data (74%), generating reports from data (74%) or accessing data from a spreadsheet for further analysis (70%). However, notably fewer have more advanced capabilities. For example, only 30% can apply analytics to data effectively, 24% can collaborate on data and metrics, and 22% can conduct what-if analysis for planning and forecasting. Decide what BI capabilities you want and examine products that can supply them.

5. Determine whether products currently in use can handle performance management well. Participants in our research said their most important goals in managing performance are to align actions and decisions to goals and strategy (cited by 77%) and to be able to plan effectively for improvement (75%). Business intelligence can be a key tool for helping organizations understand, align and optimize their performance; however, participants expressed mixed feelings about how well their BI tools help them in these efforts. In several aspects of understanding performance, fewer than 10% said their current products are superior, and the largest percentages called them only adequate or worse. In aspects of aligning performance, products fared worse: Again fewer than 10% rated their products superior in any category, and inadequacy outpolled basic adequacy. For optimizing performance, responses followed the same pattern, with no aspect exceeding 10% in superior rating. These findings suggest that you should take a hard look at the adequacy of the tools and systems you use to manage performance; determine whether other tools would enable more cost-effective performance management.

6. Identify the types of data you need to access and analyze. A majority of participants (57%) said that an important goal in providing BI tools is to provide access to data through a variety of methods. Asked to identify the types of data they consider most critical to access, 71 percent of participants cited not a type but a source: databases residing in data warehouses or operational data stores. The next two most-often-cited data types involve business activities important to a range of job functions: finance data (67%) and customer data (61%). More than half of participants said they need to access spreadsheets (55%) or transactional data (54%) from enterprise systems such as customer relationship management (CRM), enterprise resource planning (ERP) or online transaction processing (OLTP). Indicating the increasing diversity of data types, one-third (34%) said they need to access unstructured content such as text, images, voice or Web data. To put BI and performance management to the best use, Ventana advises identifying the types and sources of data your company or unit needs to access most often and then evaluating tools that can help you do so easily.

7. Consider adopting or expanding metrics for performance management. The ability to measure and track performance is an integral component of performance management. Currently 41% of participating organizations evaluate performance data and 29% are assessing metrics or measures to do so; more than one-third of executives (37%) measure performance. Find which processes and employees in your organization might perform better if metrics were available for evaluating their performance, then deploy systems that can monitor those metrics.

8. Address organizational barriers to improving BI and performance management. While research participants clearly recognize the worth of improvement, they also acknowledge a number of barriers to implementing projects to do that, mostly involving money or institutional support. The barrier cited most often is lack of resources (60%), followed by lack of a budget (43%). The top two people issues are lack of awareness (cited by 36%) and lack of executive support (26%). Determine what barriers exist in your own organization and discuss how to overcome them.

9. Look into alternative means of software deployment. Asked how they deploy this software, half (53%) of participants said they currently install and manage it on their own premises in the established manner; however, that percentage drops dramatically regarding plans for deployment in the next 12months (13%) or 12 to 24 months (11%). Nearly as many said that in the next 12 to 24 months they will choose hosted software managed off-site (13% and 9%, respectively) or renting software as a service (SaaS) on demand (12% and 10%). These options can help address organizational barriers such as lack of resources to provide BI and performance management.

10. Examine software that can be deployed across roles in the enterprise. The research found that two-thirds (66%) of organizations are planning to evaluate new technologies for BI and performance management. In terms of roles, managers (72%) were most assertive about planning to consider new products. Consider the breadth of implementation you require from software to support BI and performance management and make that a criterion when evaluating products and vendors. Challenge vendors to demonstrate the appropriateness and usability of the products they’re offering, and ask to speak with customers in situations similar to yours.

You can download the complete executive summary version of the Ventana Research report (registration required).

Tuesday, March 17, 2009

Does Your Operational BI Integrate Predictive Analytics?


David Stodder wrote a post in the Ventana's blog, called Does Your Operational BI Integrate Predictive Analytics? In the post, he commented that in the Ventana benchmark research on Operational Business Intelligence Trends, they found that a large number of organizations are deploying technology to enable better decisions and actions by front-line workers and operational managers.

He said: "Organizations should consider whether they need to supplement BI with predictive analytics: that is, statistical and data mining tools for intelligently monitoring processes and implementing predictive models to guide response to events. To manage operations, many organizations are already deploying a range of sometimes overlapping technologies, including business process management, ERP, workflow, business activity monitoring and business rules management."

He considers that analytics are most often not presented in operational BI dashboards, but the technology vendors are beginning to address this problem. He commented about the new release of TIBCO Spotfire bring together the Spotfire analytics and visualization products with the predictive analytics tools gained through its acquisition of Insightful. For him, this sort of integration is an important development; organizations should evaluate how well their vendors are integrating predictive analytics with analytics and BI to help them achieve the most optimum outcomes.

Wednesday, December 17, 2008

Data Warehousing in a Tight Economy


Tomorrow, December 18th at 3PM ET, will happen a live Web broadcast presentation entitled Loaded for Bear: Data Warehousing in a Tight Economy, provided by DM Review and hosted by Eric Kavanagh with Jim Ericson, in its program called DM Radio.

According DM Review: "As fears of a global recession mount, forward-looking companies know they can rely on a strategic asset to weather the storm: their enterprise data warehouses. Armed with a mountain of transactional data, these organizations can more quickly and easily determine where the sweet spots are, whether for products or services, across virtually any industry.

Register for the this episode of DM Radio to hear from some of the biggest names in the data warehousing business. We'll talk to Bill O'Connell, IBM's CTO for Data Warehousing, David Stodder, VP of Research for Ventana, Phil Francisco, VP of Product Management for Netezza, and a special guest. Attendees will learn:

- Strategies for leveraging a data warehouse during a slowing economy
- Innovative ways to encourage use of an EDW
- How to incorporate partner and third-party data for additional value
- Which technologies could be disruptive
- Trends to watch for 2009 and beyond."

In the DM Review website, you can register for this live Web broadcast.

You also can check out the DM Radio archives to hear previous programs with a variety of other issues.

Tuesday, December 2, 2008

The Inexorable March Toward Pervasive BI


Thursday, December 4th at 3PM ET, will happen a live Web broadcast presentation entitled The Inexorable March Toward Pervasive BI, provided by DM Review and hosted by Eric Kavanagh with Jim Ericson, in its program called DM Radio.

According DM Review: "Business intelligence will become pervasive. You can rest assured of that. The big question is: Who will get there first? Over the next few years, the answer will manifest itself in a list of the top-performing enterprises worldwide. So, what can your organization do to lead the way? Tune into this episode of DM Radio to find out! We'll speak with BI industry guru Mark Smith, CEO of Ventana Research, Dr. Larry Harris of Progress EasyAsk, Sami Akbay of GoldenGate Software, and Robert Abate of RCG IT about the ways that organizations can greatly improve their use of information systems. Attendees will learn:

- Strategies for encouraging an analytical culture
- The types of tools and technologies that can enable Pervasive BI
- Examples of how Pervasive BI improves efficiency and profitability
- Why BI penetration remains around 20 percent of the enterprise
- Which emerging trends will be game-changing."

In the DM Review website, you can register for this live Web broadcast.

You also can check out the DM Radio archives to hear previous programs with a variety of other issues.

Monday, October 20, 2008

Five Steps to Optimizing BI and Data Warehouse Performance


David Stodder published today in Intelligent Enterprise, an interesting article called Five Steps to Optimizing BI and Data Warehouse Performance. He is vice president and research director at Ventana Research and the article is an executive summary of the resulting report entitled Optimizing BI and Data Warehouse Performance.

Stodder talks that with the pressure is on business intelligence and data warehousing professionals to handle ever-higher data volumes and ever-more-complex queries while reducing decision latency.


Optimizing BI and data warehouse performance is vital to meeting business objectives. Based on the results of Ventana's recent research, and on knowledge of best practices involving people, processes, information and technology, Ventana Research recommends the five following steps toward BI and data warehouse performance improvement:

1. Let business drivers and benefits direct performance improvement efforts. Before taking steps to improve BI and data warehouse performance, make sure you understand the purpose of these systems, the objectives they serve and the benefits that your organization expects to derive from optimization. This knowledge will help you set priorities for tuning current systems and augmenting them with new systems.

2. Improve information assets for analyzing and tuning performance. Determine early on what information sources your organization uses to understand performance. In most organizations, the sources are diverse and include both people and systems.

3. Use performance demand to guide deployment of appliances, specialized databases and query accelerators. Determine your strategy for deploying appliances, specialized databases and query accelerators based on analysis of performance demand. A growing trend is use of BI and data warehouse appliances, which offer preconfigured combinations of software, hardware and storage systems.

4. Reduce the time it takes to remedy unsatisfactory performance and implement information change requests. Make it a goal for your organization to improve your users' experience by addressing problems and implementing information change requests rapidly. A critical factor in improving response time is to know when performance demands will be at their highest so you can plan resources accordingly.

5. Assess your organization's maturity and invest for improvement.
Ventana Research measures organizational maturity using a four-level scale. In this benchmark research, most participating organizations rank at the middle levels, with 38 percent at the third-highest Strategic level and 29 percent one step down at the Advanced level.
Use these results to assess your own maturity and to determine where you can apply improvements in terms of your people, processes, information and technology.

The complete "Optimizing BI and Data Warehouse Performance" report, which is available for purchase from Ventana Research, offers extensive detail on its benchmark research, including 15 charts and graphs, on the demographics and people, process, information and technology maturity of survey participants.

This is an interesting article and I think the report is also an interesting benchmark research about this important issue.

Tuesday, September 30, 2008

Selecting the right technology for integrated BI and Performance Management


I watched in Search Data Management a nice video called Selecting the right technology for integrated BI and Performance Management, where Hannah Smalltree interviewed Mark Smith, CEO and Executive Vice President, Ventana Research.

According the abstract: Learn the critical technology considerations for an integrated business intelligence and performance management system before you start designing, extending or implementing a system. Whether you add on PM capabilities from your existing BI vendor or implement a new product -- you'll need a system that leverages your current and planned infrastructure, and meets your organization's ultimate business goals. Find out how to navigate the ever-evolving BI and PM technology markets, conduct an effective RFP process, evaluate software and successfully implement integrated BI-PM systems.

This is a nice video, the integration between BI and Performance Management is an important issue nowadays, and Mark Smith has a good knowledge about the subject.

Tuesday, September 2, 2008

Corporate Decision Support Still Shaky


Today, Business Finance published an article called Corporate Decision Support Still Shaky. This article is about a new benchmark research survey from Ventana Research, sponsored by Business Finance. According the survey, many executives lack confidence in the effectiveness of their organization's analysis and planning processes and doubt the reliability of the data contained in presentations.

You can access an executive summary of the Ventana Research report (requires free registration).

I think when a company is implementing a BI/PM, one of the most important concerns is data quality. To be a successful BI/PM, the company needs to have data accurate, because it can have a Data Warehouse correctly modeled, a well implemented BI/PM using good tools, but if its data are not accurate, the company will make decisions using unreliable information. It is very important the companies create a policy of Data Governance.