Pentaho’s unique value comes from its unified data integration and business analytics platform. With Pentaho, both IT and line of business users can quickly and easily collaborate and iterate to achieve better analysis and make better business decisions.

Enhanced user-driven visualization

Key new features in Pentaho Business Analytics 4.5 include location-based data visualization and enhanced analytics capabilities for business users, such as:

• Geo mapping, heat grids, scatter/bubble chart visualizations
• Interactive visual analysis such as lasso filtering, zoom and attribute highlighting on all chart types
• Interactive reporting enhancements designed for non-technical users
• In-memory cache performance improvements

“The new visualization features in Pentaho Business Analytics 4.5 such as heat grids and lasso filtering will greatly enhance our marketing analytics solutions and are sure to impress our end users,” said Michael Winner, Vice President, Consulting Services, Numeric Analytics. “Because Pentaho BI has a unified environment for data integration and visualization tools, it is much easier and quicker to deliver useful business analytics solutions as compared to other analytics and big data tools I have worked with in the past.”

Expanded insight into big and diverse data

A leader in the big data ecosystem since May 2010, Pentaho continues to expand its capabilities to access, integrate, visualize and analyze all data sources, including big data, with the following additions:

• Simplified deployment options for efficient distribution across Hadoop clusters, including a new Debian RPM for MapR and support for Hadoop’s distributed cache
• Expanded NoSQL database integration including read, write and reporting with Apache Cassandra, DataStax and MongoDB
• Performance and ease-of-use improvements in the Pentaho MapReduce visual designer
• Support for secure Hadoop clusters

Easier to embed and customize within OEM and enterprise applications

Pentaho Business Analytics’ pluggable, extensible interface for software and SaaS has been enhanced with new features to support:

• A pluggable visualization framework that allows the addition of custom or 3rd party visualizations
• Ability to tailor the report viewing experience with scriptable data source logic and custom report parameter prompts

“Pentaho Business Analytics 4.5 delivers interactive visualization and big data integration in a unified pluggable platform that speeds time to business insights for both IT and line of business,” said Jake Cornelius, senior vice president, products, Pentaho Corporation. “We built the Pentaho platform from the ground up with an understanding that data integration and business analytics are better together.”

“Pentaho is the exact bridging mechanism we were searching for,” said Randy Walsh, Vice President of Professional Services, AssetWorks. “We’ve embedded Pentaho in AiM™ IQ, a product we feel embodies ‘intelligence for everyone’ and provides end-users with a simple to use yet robust interface to access their data. It speaks volumes about Pentaho’s ability to be used in the field, in the boardroom and everywhere in-between.”

Download our fully independent & in-depth evaluation of Pentaho BI in the BI Tool Survey 2012.

Which one is better?

OBIEE and Business Objects score almost equal points in the Business Intelligence tools comparison Survey 2012. In one area OBIEE scores just a little bit better: infrastructure and architecture. And that is not really surprising because Business Objects was introduced in the client/server era where the first version of OBIEE  (AKA Siebel Analytics) was released in the era of the internet (with complete zero footprint capabilities). Business Objects still has some legacy in it. I have worked with Business Objects for many years. At the moment they released their first version for the web, WebIntelligence, I was really happy because my IT boss didn’t like ‘fat client’ software. But this first web version had a few major drawbacks regarding performance and scalability. After a few months experiencing Business Objects WebIntelligence I became knowable of what they had done to enable the business intelligence software to run over the internet: they build some kind of webservice around the ‘old’ fat client which had to be installed on the server! It took a lot of internal memory and because of that it seriously limited the number of active users. OBIEE was designed for the web and had from the beginning an excellent scalability. Over the years, the difference on this aspect has been almost faded out, but some fat client legacy remains still in the Business Objects suite. So if you want to run reports and dashboards for a very large number of users you will probably be better of with OBIEE, SAS or WebFOCUS.

A truly independent comparison between OBIEE vs Business Objects

Not only OBIEE vs Business Objects can be compared with the BI Tool survey. Fourteen other BI tools have been thoroughly evaluated by the experts on selection criteria that can make a real difference in choosing the right software. A lot of customers are using the survey for getting from a large list of BI tools to a short list of two or three Business Intelligence tools. Other customers use it for choosing the BI suite that met their requirements the best.

More in this series

There are several other comparisons made by the research and consulting firm Passionned Group like:

• Cognos vs Business Objects;
• OBIEE vs Cognos;
• Microstrategy vs Business Objects.

If you want help with the selection of a BI tool/platform, you may contact us for business intelligence consulting or tool selection. In addition we provide in our unique Business Intelligence training all the insights you should know off to select the best BI tool for your organization and it will help you also to achieve more success with Business Intelligence tools. The evaluation between OBIEE vs Business Objects is 100% vendor independent. Vendors do not have to pay to be included.

OBIEE and Cognos score almost equal, but…

From our research it became clear that OBIEE and Cognos score almost equal points if you take all the criteria into consideration. So to speak they are very close to each other. But in the different categories they score different, not to mention their completely different pricing model. In the BI tools comparison matrix all the details are available.

Some history

Cognos was aquired a few years ago by IBM and the software company Oracle bought at almost the same time the company Siebel which had created a suitable reporting solution for their CRM system. You may think that the difference between OBIEE vs Cognos lies in the fact that OBIEE can’t have an open infrastructure because it is part of Oracle and will connect better to Oracle databases than other databases. But that is not the case. OBIEE, formerly known as Siebel Analytics, is based on Microsoft technology and connect also very well to SQL Server (and other databases as well). The native connectivity of OBIEE vs Cognos is respectively 13 points vs 12 points, which may surprise you.

What is the big difference?

There is difference between the Business Intelligence tools OBIEE and Cognos. And it is? Predictive Analytics. If you want to know more about the two tools, there is a 100% vendor independent comparison between OBIEE vs Cognos available for purchase. For your convenience it contains also comparisons of 14 other BI tools. If you are interested you may consider buying the BI Tool Survey 2012.

More in this series

There are several other comparisons made by the research and consulting firm Passionned Group like:

• Business Objects vs Cognos
• QlikView vs Cognos

If you want advice on a tool selection, you may contact us.

Behind the HBMP technology is a new mathematical algorithm that maps the compressed multidimensional space (Pattern) in-memory (in-Memory), through bit-level structures (Bitwise). The new algorithm, designed to maximize the potential of in-memory computing, brings enormous benefits not only in terms of performance, but also in terms of data compression and high user concurrency.

Furthermore, unlike what happens with the majority of in-memory solutions, the algorithm has been created to ensure full bi-directionality (read-write) in the use of the information. Consequently, this allows full support of write-back and “on the fly” changes of the data structure, thus keeping all the functional capabilities of BOARD intact. Another fundamental characteristic of HBMP technology is its hybrid nature, or rather the ability to manage data in three different ways:

• FULL (all processing is done against data held in-memory)
• ON-DEMAND (only a selected subset of data is stored in-memory)
• HYBRID (only metadata and indexes are stored in-memory and not the physical data)

From an architectural point of view, the benefits of the new HBMP technology extend beyond the performance made possible by a greater use of RAM, by improving three key aspects for more effective processing:

• Parallelism: HBMP technology fully parallelizes BOARD processing to effectively leverage multi-core architecture. The effective spreading of the calculation load across CPU cores enables more effective workload management and better handling of concurrency.
• Compression: Thanks to the adoption of a new mathematical model, the HBMP technology makes it possible to map the multidimensional structure of data held in-memory at bit level. This new compression scheme considerably reduces the data space required to create cubes and makes the weight of BOARD databases very similar to the most advanced associative “read only” products, with the significant difference that BOARD databases are read and write and have the capability to distribute data changes along the hierarchies.
• Concurrency: HBMP technology dramatically improves high user concurrency in BOARD. Unlike traditional in-memory techniques that struggle or require massive amount of RAM to support large numbers of concurrent users, HBMP provides the capability to support concurrent users sharing a unique server instance, thus minimizing the impact of concurrent users on memory usage.

Performance Benefits

The testing activities conducted on HBMP have produced excellent results in terms of performance improvements on all main components of BOARD:

• Layout execution times become two to ten times faster, with even greater improvements for complex multicube reports
• Time loading data (DataReader) is reduced from two to more than ten times
• The size of the databases is four to ten times smaller
• Execution times of selection on very large trees millions of members) becomes almost instantaneous

Not only HBMP

In addition to the release of the HBMP technology, version 7.4 contains a series of functional improvements, including

• Empowered web client (rendering, prints, launch procedures, charts, support ATO)
• Input Filter (Top N) and sorting in graphs
• Dynamic length adaptation of fields and entities code, and text cubes
• DataReader filtered by select

Painless migration

Migration to the new HBMP technology does not compromise applications, reports and analyses developed in BOARD. All that is required is an automatic conversion of the database and the migration to a 64-bit platform (for those who have not yet done this).

Comments

“Once again,” comments Giovanni Grossi, CEO of BOARD International, “BOARD has combined its aptitude in groundbreaking innovation with the ability to integrate BI and CPM in a single product. HBMP technology brings a futuristic blend of in-memory computing and capability to support the simulation and planning processes, with results that none of our competitors are currently able to match.”

“The HBMP technology,” says Pietro Ferrari, Head of BOARD Technical Support, “should not be compared with other in-memory technologies that are currently available on the market, because of two different key aspects: its support of write-back and its hybrid nature (i.e. the ability to manage memory mapping of multidimensional data, leaving the administrator free to decide which physical data to load into RAM). This makes it possible to achieve extremely high performance without sacrificing the scalability and capacity planning and simulation that have fueled international success for BOARD.”

“I would say that the release of BOARD 7.4 and the HBMP technology is the culmination of a terrific period for the entire company,” comments Giovanni Grossi, “during 2011 we saw an incredible 48% growth on new licenses and 26% on the turnover. We have also continued to strengthen our internationalization process by opening new offices in Tokyo, Mexico City and Hong Kong.”

Order and download a thorough evaluation of BOARD and all the other Business Intelligence tools.

With SAS Visual Analytics, organizations can:

• Apply the power of SAS Analytics to massive amounts of data.
• Visually explore data at the speed of sight.
• Share fresh insights with everyone, everywhere, via the Web or iPad.

SAS Visual Analytics combines the industry’s leading analytics, unique in-memory architecture, intuitive data exploration, Hadoop support and information-delivery options, including the iPad. It is the only in-memory engine designed specifically for business visualization of big data on inexpensive, nonproprietary hardware.

“The speed of in-memory architecture offers tremendous benefit. Organizations can explore huge data volumes and get answers to critical questions in near-real time,” said Dan Vesset, Program Vice President of IDC’s business analytics research. “SAS Visual Analytics offers a double bonus: the speed of in-memory analytics plus self-service eliminates the traditional wait for IT-generated reports. Businesses today must base decisions on insight gleaned from data, and that process needs to be close to instantaneous.”

Beyond business intelligence

“SAS Visual Analytics helps business users to visually explore data on their own,” said SAS CEO Jim Goodnight. “But it goes well beyond traditional query and reporting. Running on low-cost, industry-standard blade servers, its high-performance in-memory architecture delivers answers in seconds or minutes instead of hours or days.

“The core of SAS Visual Analytics – our innovative SAS LASR™ Analytic Server – speeds data exploration and visualization. This in-memory analytic engine will extend across our software product portfolio, seamlessly applying 35 years of SAS analytics innovation to big data assets,” said Goodnight. “Add its publish-to-mobile capability and graphic visualization, and there’s nothing that compares to SAS Visual Analytics.”

Enterprises that have seen early demonstrations of SAS Visual Analytics clearly see the business value of visual data exploration with incredibly fast results.

“I could immediately recognize in SAS Visual Analytics the potential benefit of incorporating the massive amount of information in our call detail records into our models, but also the value of scoring and targeting our customer base in real time with the most relevant offers,” said Antoine Georges, Vice President of Analytics at Virgin Mobile USA, a Sprint prepaid company. “SAS Visual Analytics will let us quickly dig into our big data to uncover opportunities, and in time, to fully exploit them.”

Big data without limits

A core component of SAS Visual Analytics, the SAS LASR Analytic Server, uses Hadoop (embedded Hadoop Distributed File System) as local storage at the server for fault tolerance. SAS LASR Analytic Server has been tested on billions of rows of data and is extremely scalable, bypassing the known column limitations of many relational database management systems (RDBMS).

The more data used in an analysis, the more accurate the results. This is especially attractive when accuracy is critical in problem solving across big data environments, including both structured and unstructured data.

SAS Visual Analytics can solve many business problems. For example, a marketing campaign manager at a retailer with hundreds of stores and a thriving online sales channel needs faster, more sophisticated next-best-offer recommendations for customers. SAS Visual Analytics allows analysts to look at all data from online sales, stores, external demographic information and social media. Entire populations can be analyzed to determine the best offer or interaction rather than using a sample, moving quickly and directly to robust, precise recommendations. This information can then be distributed easily.

Banks and capital markets firms can also use the power of SAS Visual Analytics to help retail branch staff, commercial bankers and financial advisors cut through the clutter of big data to improve customer interactions and financial advice in a timely way.

Order and download a thorough evaluation of the SAS platform and all the other Business Intelligence tools.

Source: SAS

This press release has been written by a vendor and published as a news item on this website. It does not necessarily reflect the results of our 100% vendor independent research.

“Data is being generated faster than ever before, and organizations need a way to process and analyze all that data,” said Ted Kummert, corporate vice president at Microsoft. “Whatever the type or size of data, SQL Server 2012 delivers the platform and familiar tools to manage data, generate actionable insights and help drive business impact.”

SQL Server 2012: Proven Capability

SQL Server 2012 has already been deployed for production use by hundreds of global, industry-leading customers, such as Volvo Car Corp., Revlon, the HSN, Sanofi Pasteur, Klout and LG Chemical. Customers choosing SQL Server 2012 enjoy the benefit of a rich hardware and software partner ecosystem that can create solutions for the most unique and demanding data management needs.

“Our business depends on delivering customers fast, detailed insight into hundreds of terabytes of social-network data,” said David Mariani, vice president of Engineering at Klout, a leading provider of influence measurement. “With SQL Server 2012 and integrated business intelligence tools, we’re processing massive volumes of data queries in near-real time. Microsoft’s data platform has continued to advance and help us keep up with the evolving world of data.”

Tackling Big Data

IT research firm Gartner estimates that the volume of global data is growing at a rate of 59 percent per year, with 70 to 85 percent in unstructured form.^* Furthering its commitment to connect SQL Server and rich business intelligence tools, such as Microsoft Excel, PowerPivot for Excel 2010 and Power View, with unstructured data, Microsoft announced plans to release an additional limited preview of an Apache Hadoop-based service for Windows Azure in the first half of 2012.

Since the first limited preview released in December, customers such as Webtrends and the University of Dundee are using the Hadoop-based service to glean simple, actionable insights from complex data sets hosted in the cloud. Customers interested in signing up for the latest preview should visit http://www.hadooponazure.com.

Continued Improvements, New Levels of Return on Investment

To help customers more cost-effectively manage their enterprise-scale workloads, Microsoft will release several new data warehousing solutions in conjunction with the general availability of SQL Server 2012, slated to begin April 1. This includes a major software update and new half-rack form factors for Microsoft Parallel Data Warehouse appliances, as well as availability of SQL Server Fast Track Data Warehouse reference architectures for SQL Server 2012.

In addition, Microsoft is releasing results from a new Microsoft-commissioned Forrester Consulting Total Economic Impact study on the potential benefits of upgrading to SQL Server 2012. The study reports a potential return on investment of up to 189 percent with a 12-month payback period.

Microsoft and partners also announced today that SQL Server 2012 has demonstrated new record-breaking performance benchmarks through partner- and Microsoft-led testing that underscores SQL Server’s ability to scale across the enterprise. Source: Microsoft.

Those interested can find more information about today’s announcements on the website of Microsoft or order and download a thorough evaluation of Microsoft BI tools compared with all the other major Business Intelligence tools.

Shareable Ink enables healthcare organizations to distill valuable clinical data that has never-before been digitized and to incorporate analysis into daily operations and workflows.A common use case for Shareable Ink Analytics is the need to instantlyreview, report, and manage real-time performance, compliance, and efficiency metrics, such as SCIP (Surgical Care Improvement Project) measures, anesthesia turnover times, and on-time case starts. Instead of customizing data management and analytics for every hospital or healthcare organization, Shareable Ink lowers IT infrastructure costs by creating a common data store, analytics and reporting platform for all its end customers – regardless of the type, shape, and format of data they use.

“We wanted to spend time creating an innovative platform that was distinctly valuable to our audience and not spend time re-inventing in-house big data analytics functionality,” said Gerry Andrady, vice president of product management, Shareable Ink. “Pentaho Business Analytics provides a cloud-based analytical platform to extract, prepare and analyze loosely structured data, helping Shareable Ink to provide visualizations and sharing of this free-form healthcare information to a large population of healthcare users such as doctors, nurses, and administrative staff.“

“By pairing Shareable Ink with Pentaho BI, information can automatically be recorded, accessed, analyzed and visualized in reports and dashboards in as little as five minutes,” said Richard Daley, founder and chief strategy officer, Pentaho. “Built for the future of analytics, Pentaho’s easily embeddable platform allows companies such as Shareable Ink to cost-effectively deploy a big data solution that is efficient, fast and scalable.”

Order and download a thorough evaluation of the Pentaho BI platform and all the other Business Intelligence tools.

Source: Pentaho

The comparison contains 103 criteria

The matrix and comparison contains 103 selection criteria and all the major BI tools in the market like Oracle BI, IBM Cognos, QlikView, SAS, Business Objects, WebFOCUS and so forth. All these tools are thoroughly reviewed and all the answers of the vendors were validated by live demonstrations, usage or official manuals.

A useful BI tools comparison-matrix

The matrix, displayed below, can be used for different purposes like selecting one or more BI tools that met specific requirements or it can be used to see how the BI tools score on different aspects like core functionality, infrastructure, performance issues, connectivity and so on. Sixteen vendors are included in the BI tools comparison matrix.

The complete list of business intelligence tools displays all the major tools available in the market and the tools that are covered in the BI Tool Survey 2012.

A research paper with good testimonials

The BI Tool Survey 2012 is a research paper with all the information you need to know for selecting the right BI & reporting tool. All the important features of Business Intelligence tools are covered, also their strengths and weaknesses.

“The BI Tool Survey 2012 has been immediately useful to me” says Richard Silverstein, Strategic Planning Manager of the Sweet & Maxwell Group. And Vera Jonkers, consultant to Parsons Brinckerhoff Africa, said the following: ”the BI Tool Survey report is excellent“. Discover the power of this report for yourself and order and download the report today. We are happy to welcome you as our customer.

New research released today by MIT Sloan Management Review and the IBM Institute for Business Value (NYSE: IBM) reports that organizational challenges, more so than technology hurdles, are holding companies back from fully integrating analytics across their enterprises.

According to a global survey of more than 4,500 executives, managers and analysts from more than 120 countries and 30 industries, 44 percent of organizations say cultural barriers to enterprise-wide analytics adoption, such as the requirement for new leadership competencies and organizational resistance to new ideas, are the primary barriers.  In contrast, only 24 percent point to technology concerns.

Org Challenges Graphic:  New research from IBM and MIT Sloan Management Review reports that cultural barriers, more so than technology hurdles, are holding organizations back from fully integrating analytics across their enterprises.  This chart shows the percentage of respondents who rate these challenges as extremely difficult to resolve.

The new report, entitled “Analytics: The Widening Divide,” builds on the findings from the original study by MIT SMR and IBM in 2010 to understand how companies are embedding analytics in more of the enterprise’s processes and operations.  The 2010 study found organizations fall into one of three levels of sophistication: basic users referred to as Aspirationals, followed by the more Experienced users, and the most advanced users referred to as Transformed.  Year-to-year comparisons reveal that the more sophisticated users are expanding their deployment of analytics and widening the performance gap over their peers.

For instance, from 2010 to 2011 the percentage of respondents who cited a competitive advantage using analytics grew 23 percent for Transformed and 66 percent for Experienced organizations.  These same organizations are more than twice as likely to substantially outperform their competitive peers. In contrast, Aspirational organizations lost ground in competitiveness, falling 5 percent since last year.

“Our new research shows that the early and aggressive adopters of analytics make significant gains in both performance and overall competitiveness,” said Fred Balboni, IBM’s global leader, Business Analytics and Optimization.  ”These indicators point to an urgent need for organizations to foster a data-oriented culture and drive an analytics strategy that embeds fact-based insights into decisions and processes at every level of the business.”

Competitive Advantage Graphic:  The ability of organizations to create a competitive advantage with analytics has surged in the past 12 months, according to new research from IBM and MIT Sloan Management Review.  This chart shows the percentage of respondents who cited a competitive advantage using analytics, year over year, grouped by analytic sophistication levels

“We’ve found that there are three legs to the competitive analytics stool: a data-oriented culture, information management competency, and analytics expertise,” said David Kiron, executive editor for MIT Sloan Management Review.  ”Companies that have all three use analytics to deliver advantage in the marketplace.”

The study found that the majority of organizations are using analytics to manage their financial and operational activities, but are less likely to rely on analytics-based insights for decisions in other key areas.  On average, less than 25 percent of Aspirational organizations, and one-half of Transformed organizations, say they rely on data and analytics to make decisions involving customers, business strategy and human resources.  Even Transformed organizations are not using analytics to their fullest potential, indicating ample opportunities for advanced users to do more and for less sophisticated organizations to create a competitive advantage by targeting analytics at key strategic activities.

While Transformed organizations use analytics more broadly across the organization than their peers, they differentiate themselves by intensely focusing on applying analytics to three areas:

• Increasing the speed of decisions – Transformed organizations are more than three times more likely than Aspirationals to focus intensely on making better decisions, faster.
• Managing enterprise risks – Eighty-six percent of Transformed organizations are addressing the full range of organizational risks that can impact their business, while none of the Aspirational organizations have the same level of focus.  Transformed organizations are using analytics to not only mitigate, but also anticipate risks.
• Engaging customers – Transformed organizations are outpacing their peers in leveraging the enormous amounts of data available today to understand and engage with their customers in new ways.  Two-thirds of them are putting analytical insights into the hands of customer-facing employees to drive sales and productivity — compared to one-fourth of Aspirationals.

The study examines how Transformed organizations are creating an advantage in the marketplace.  The analysis shows that of all the characteristics exhibited by this group, their proficiency in six areas (represented by the percentage of Transformed companies that say they possess these characteristics) distinguished them the most:

• Ability to analyze data – 78%
• Ability to capture and aggregate data – 77%
• Culture open to new ideas – 77%
• Analytics as a core part of business strategy and operations – 72%
• Embed predictive analytics into process – 66%
• Insights available to those who need them – 65%

About MIT Sloan Management Review

A media company based at the MIT Sloan School of Management, MIT Sloan Management Review’s mission is to lead the conversation among research scholars, business executives and other thought leaders about advances in management practice that are transforming how people lead and innovate. MIT Sloan Management Review captures for thoughtful managers the creativity, excitement and opportunity generated by rapid organizational, technological and societal change. Source: IBM.

Download our 100% vendor independent & in-depth evaluation of IBM Cognos in the BI Tool Survey 2012.

Just as QlikTech disrupted the BI industry by empowering all business users with interactive data analysis instead of static reports, the company is now leading the next transformation to collaborative decision-making that leverages the power of the collective intelligence of a group, organization or department to accelerate better decisions with greater alignment and transparency.

QlikView 11 also marks the next generation of associative search pioneered by QlikView with the introduction of comparative analysis. Comparative analysis extends the QlikView associative experience to enable interactive comparison of user-defined groupings. Other key benefits of the release include making application development easier and faster, and enhancing QlikView’s manageability and security capabilities for large enterprises.

Customers are realizing the value and ease of QlikView upgrades as illustrated in the recently-announced BI Survey 10, conducted by the Business Application Research Center (BARC). With the largest number of participants in this year’s BI Survey, BARC analysts report “remarkably, all those who specified they used [QlikView] stated that they used Version 10, the current version.”

“Our vision for QlikView 11 builds on the fact that decisions aren’t made in isolation, but through social exchanges driven by real-time debate, dialog, and shared insight,” says Anthony Deighton, CTO and senior Vice President, Products at QlikTech. “QlikView 11’s social business discovery approach allows workgroups and teams to collaborate and make decisions faster by collectively exploring data, anywhere, anytime, on any device. Business users are further empowered with new collaborative and mobile capabilities, and IT managers will appreciate the unified management functionality that allows them to keep control and governance at the core while pushing usage out to the edges of the organization.”

Social Business Discovery Accelerates Decision Making through Collaboration

QlikView 11 puts the social and collaborative experience front and center. With social business discovery, workgroups and teams can collaborate by collectively exploring data in real time, as well as jointly creating analysis to quickly answer business questions and arrive at informed decisions.

• Co-Create with Collaborative Workspaces – QlikView users can invite others – even those who do not have a license – to participate in live, interactive, shared sessions. All participants in a collaborative session interact with the same analytic app and can see others’ interactions live. From their tablet or desktop or laptop computer, users can share selections and test scenarios together to better uncover insights, solve problems, and make decisions.
• Provide In-Context Commentary – Users can now post and respond to notes right in the context of any QlikView app. During the creation of an app, this could include communication about changes to the app’s design, or new or easier ways to view data. Throughout the usage of an app it could include questions, answers, and insights about the data. Notes and comments can be added to charts, graphics, and visualizations, and are accessible as threaded discussions.

Comparative Analysis Drives Deeper Insight

With QlikView users are not limited to predefined paths they must follow, or questions they must formulate ahead of time. They ask what they need to ask, and explore up, down, and sideways and now even side-by-side.

Business users can now create multiple selection states in a QlikView app; they can create graphs, tables, or sheets that are based on different selections, then compare multiple selections of data inside one document, one chart, or one object, to spot trends, outliers, or differences. This makes it easier to gain new insights into patterns of use, opportunities and threats.

Comparative analysis is used for contrasting multiple data sets like market basket comparisons in a retail setting or stock performance analysis in financial services. For instance, to compare the performance of two or more groupings of products, users simply select multiple products for each group and QlikView automatically visually contrasts their performance—across regions, time periods, or any other measure.

Mobile Users Gain Insight “On Location”

QlikView 11 on Mobile delivers the complete business discovery experience – including interactive analysis, rich visualization, associative search, and the ability to share apps, data and decision trails. QlikView takes full advantage of the immersive, interactive potential of touchscreen tablets like the Apple iPad, Android tablets, and BlackBerry Playbook. QlikView 11 makes optimal use of small touch screens such as the Apple iPhone or Android phones by presenting a single chart or graph at a time. By leveraging advanced HTML5 browser technology, QlikView delivers a touch-driven interface that makes BI as easy and compelling to use as consumer apps, while IT retains centralized security and manageability.

Enhanced Enterprise Capabilities for Control at the Core

With QlikView 11, IT can serve the business like never before – all while assuring strict data security, quality, and governance. Customer-driven enhancements include extending support for very large deployments with improved scalability, ease of administration and security management. Automatic load balancing ensures maximum performance even with thousands of users while extensive APIs broaden integration with business applications and system management software.

Rapid App Building Marks the End of the End User

In just a fraction of the time it takes with typical Business Intelligence solutions, QlikView 11 lets users create apps through a simple process that instantly delivers relevant analysis, reports, and dashboards critical to decision-making and operations. New functionality improves team development through integration with third-party source controls like Microsoft Team Foundation Server (TFS) and additional layout and analysis capabilities enhance application design.

With QlikView 11, users have point and click app building capabilities to embed UI elements on the fly – no keystrokes needed. A QlikView app can be even more quickly and easily enhanced and extended to meet changing business needs. New data sources and related listboxes, visualizations and images can be integrated with the app auto-calibrating to reflect the additions. QlikView 11 includes connection wizards and out-of-box connectors to SAP, Informatica, and Salesforce.com.