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LucidWorks addresses the growing volume of information now being stored in the enterprise and in big data with two products aimed at the enterprise with search technology. Though you may not be familiar with LucidWorks (previously known as Lucid Imagination), the company has for many years contributed to Apache Lucene, an open source search project, and commercialized and supported for it for business.
Search is a necessary enterprise application, but it is often not deployed successfully, for many reasons, some to do with the lack of focus and priority by IT and in some cases because a given application is not designed to work well across an organization. Our technology innovation benchmark research finds that search is a critical capability for 38 percent of organizations, and was a top-five capability for business intelligence, ranked as very important in 29 percent of organizations in our next-generation business intelligence research. But few of today’s solutions in BI and business analytics have well-integrated search capabilities that can work against the analytics, let alone with a broader set of information sources. Inadequate search capabilities hurt applications’ usability, and our latest research finds that usability is the top technology consideration in 64 percent of organizations.
LucidWorks has two product offerings in the search market. LucidWorks Search provides the ability to rapidly set up search and index content using Apache Solr. The company not only provides full commercial-grade support and services and a security framework, but has also improved on Solr’s usability for developers and business users. Solr, built on top of Lucene, is an enterprise platform that provides full-text search, dynamic clustering, geospatial search and other enterprise-class capabilities.
Second, LucidWorks Big Data, which was released late last year, uses the compute and storage capabilities of Hadoop to support larger-scale deployments. LucidWorks also announced more formalized integration with MapR to support it from within its software. LucidWorks has built a big data framework to take advantage of key Apache technologies such as HBase for storage and access, Kafka for distributed publish and subscribe, Mahout for scalable machine learning, Pig for Map-Reduce scripting and ZooKeeper for distributed coordination. Using Hadoop technologies to support big data search could be the tipping point that brings enterprise and Internet-class search to every organization.
LucidWorks provides its products via either on-premises or cloud computing deployment. LucidWorks has embraced cloud computing through Amazon Elastic Compute Cloud (EC2) and Microsoft Windows Azure, making it simple to integrate LucidWorks with existing approaches. As big data deployments evolve, our technology innovation research finds that 43 percent of organizations prefer big data on-premises, while 26 percent prefer it via cloud computing and 19 percent have no preference. Providing choices for organizations is essential to meeting the broadest range of needs. Our big data research found searching for data is one of the top big data capabilities not available today in 20 percent of organizations and is needed. In addition, our research found the need for search on mobile technology to be important in 29 percent of organizations, so demonstrations of how LucidWorks can operate across smartphones and tablets will be essential.
According to our research, the market potential for providing search to business is quite high. Business understands the value of time and needs to get information. Unfortunately, the market for enterprise search software has been hampered by lack of interest from IT, and on the part of analyst firms that follow the IT industry but do not measure the needs of business. Historically, search has been relegated to IT systems and not seen as software to help business be more productive.
As organizations begin to build a new generation of applications to leverage big data they should not forget that search is a required component to get to information not only from within an application but also from any related information beyond it. LucidWorks has priced its offering to be affordable for any midsize to large organization and made it easy to set up through its cloud computing offering. Keeping it simple to set up is important, as lack of resources is the highest barrier for use of innovative technology in 51 percent of organizations.
Last year LucidWorks added a new CEO, Paul Doscher, a veteran in the enterprise software and search technology industry, to join its chief technology officer and founder, Grant Ingersoll. Going forward I expect to see LucidWorks search results further integrated into business applications and even business analytics. I hope that the company expands its big data offering beyond just Hadoop. LucidWorks should also get more of its customers to promote the software by talking about their deployments. I will be further researching the need for search as part of our big data and information optimization research in 2013. LucidWorks is definitely a vendor to examine if you are looking to bring enterprise-class search to your organization and big data deployments.
CEO & Chief Research Officer
Business intelligence software is supposed to help businesses access and analyze data and communicate analytics and metrics. I have witnessed improvements to BI software over the years, from mobile and collaboration to interactive discovery and visualization, and our Value Index for Business Intelligence finds a mature set of technology vendors and products. But even as these products mature in capabilities, the majority lack features that would make them easy to use. Our recent research on next-generation business intelligence found that usability is the most important evaluation criteria for BI technology, outpacing functionality (49%) and even manageability (47%). The pathetic state of dashboards and the stupidity of KPI illustrate some of the obvious ways the software needs to improve for businesses to gain the most value from it. We need smarter business intelligence, and that means not just more advanced sets of capabilities that are designed for the analysts, but software designed for those who need to use BI information.
Our research finds the need to collaborate and share (67%) and inform and deliver (61%) are in the top five evaluation categories for software. A few communication improvements, highlighted below, would help organizations better utilize analytics and BI information.
Personalized Notifications and Alerts
Everyone in business is busy. Managers and directors have little time to do analysis. Yet BI advancements in visual and data discovery are focused on analysts, and not aimed at the majority of those in business who need to be notified of issues critical to business processes for which they are responsible. We need to make it simpler to consume BI from any point of a presentation. Individuals should be able to review lists of critical metrics as easily as they can browse a directory of files, and based on access rights should be able to select and scope them to suit their areas of responsibility (geography/location, customer, products) and the time period needed for analysis. Users should be able to compare ranges across time and set thresholds that trigger a notification or alert delivered into email or directly to a mobile platform (smartphone or tablet).
This notion of personalized notifications is pretty simple, and our recent research on next-generation business intelligence found that alerts and notifications are the most important capabilities for mobile technology according to 42 percent of organizations. Business Intelligence software vendors must not just focus on providing charts to mobile technology but rather on providing better access to information, and should offer notifications of changes to the analytics and metrics that matter. Personalized notifications should be a self-service activity that does not require IT or analysts to get involved; the software should be usable and smart enough to perform this basic business function.
Text Presentation of Analytics
BI has focused on presenting tables of data and charts to visualize data. More advanced deployments blend in maps and location analytics, a feature whose value I have already espoused. But even with dashboards, individuals can find it challenging to look at four or more charts with no context in communication about them. Even as we try to make the presentation of charts through visualization fancier, the problem is that majority of business professionals are not trained to interpret charts and would rather read what is going on in their business just as they read the newspaper or digital forms of it on their tablet. We can read summary paragraphs about the news; business should be able to see similar communication about the analytics that matter to an individual’s role, yet today’s business intelligence software lacks any way of presenting data in readable text or their natural language. This needs to be part of business intelligence, and organizations need to voice their needs and ensure that software companies understand how this would help them use analytics.
Make Observations on Analytics
Analysts are responsible for conducting analysis, providing observations found in the analytics and communicating them to others in business. Despite the variety of business intelligence software available, the majority of analysts today place charts and graphs into a presentation using technology like Microsoft PowerPoint. Once a chart is placed into a presentation, analysts place observations as bullet points next to the chart, title the slide, and add summary points or actions in a text box at the bottom. They then repeat the process to create a collection of slides that are usually exported to Adobe Acrobat and emailed to others.
Now step back and ask yourself if your BI software supports those kinds of operations today. Does your dashboard of charts provide the ability to place text around it for communication? Can the text from an analyst be fixed and not change, but be commented on or collaborated on in a discussion forum? From my analysis of the majority of software providers, the answer is no. It is not clear why vendors fail to support the basic process of analysis, observation and notation on the analytics and metrics. You should be able to add a free-form text box to the left or right of a chart and add observations that can be fixed and placed into a dashboard.
These areas are just some examples of ways to improve business intelligence. I hope that BI software providers start to add more communication and collaboration capabilities that adapt to the way people work, rather than the current approach that forces people to spend more time in their products. As a customer, you should voice the needs you have to support your efforts today. For years, BI software providers have stated there was no demand for capabilities like collaborative and mobile to make things easier for business users, but my analysis indicates this was because they were getting feedback only from IT organizations and IT industry analysts who do not research or understand the way business professionals operate and how they want to become smarter in how they communicate and collaborate, including via mobile technology. Our benchmark research finds collaborative capabilities have been important for some time, and our latest research in 2012 finds them very important to 26 percent of organizations and important to another 41 percent. In addition, more than a third (38%) would like collaborative support as part of their business intelligence product, and almost a quarter (24%) has no preference in their approach. If the vendors do not add this capability, businesses will continue to use Microsoft Office (36%) or find a stand-alone collaboration tool (17%) to meet their need. The need for collaboration is very clear as it is the second-ranked priority (16%) we found in our technology innovation benchmark research, after analytics (39%).
Your BI software should support all business roles, not just analysts, though they do need smarter tools such as visual discovery. IT departments should examine why business still uses spreadsheets and presentation software instead of BI software. To get a shared enterprise approach to business intelligence, business must have software that supports the analytic and decision processes we have been successful with for decades, as well as what people need today. By addressing these needs we will also be more prepared for investments in big data, which our research finds are expected to improve communications and knowledge sharing. Our analysis finds the need for more social and collaborative BI features to help teams and support the business and is a key component of my colleagues business analytics research agenda. Assess what you are doing to optimize business intelligence software for business use and provide better communication and easier consumption of analytics and metrics. If you are not able to get what you need, maybe it is time to switch BI software providers to the ones that do provide what you need for business.
CEO & Chief Research Officer