3 Key Drivers for a Performant Enterprise Big Data Search and Analytics Platform

If you are aiming at deploying a performant Enterprise Search platform you would do well to consider these 3 key criteria:

Strong Content Analytics

In order to be extremely effective and efficient, an Enterprise Big Data Search and Analytics platform should offer strong Content Analytics that combines indexing of both structured and unstructured data. Indeed, it’s the combination of both types of analysis that delivers more relevant results and insights to users.

In addition, a performant Enterprise Big Data Search and Analytics platform should also “put powerful NLP to work in surprising scenarios” according to Forrester Research. The semantic analysis (named entities extraction, text mining agents, etc.) coupled with the statistical analysis and machine learning algorithms enables data-driven businesses getting more relevant and contextual information from search results.


Big Data Search and Analytics  PlatformHigh Connectivity

A Big Data Search & Analytics platform only deserves its name if it connects easily to virtually all data sources of an organization. If you need access to a new data source, you want to have it now, not in 3 months.

Multiple connectors to structured and unstructured data sources (internal and external to an enterprise) will help you cope with “data variety” and ensure that projects can start delivering value to users in a matter of weeks rather than months.

Extreme Scalability

Your platform architecture should offer the necessary scalability to deal with your large and diverse amounts of Big Data. It should be scalable enough to combine statistical analysis of structured and unstructured data with linguistic and semantic analysis of texts in several major languages (NLP – Natural Language processing). Moreover, an out-of-the box Grid Architecture that allows you to flexibly adapt resources will help you gain agility and get faster response times.

So, is your Enterprise Big Data Search & Analytics platform as performant as you thought?

If not, request a demo here and see how you can get value from your big data easily and rapidly!

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Have You Heard About SBA “AppStores”?

You are overwhelmed with business data coming from diverse and multiple data sources and with demands from various user populations to make use of this data? In that case you should look at how to construct your own App Store!

You may be wondering “How on earth am I going to that?”

But our customers achieved it! They built their own SBAs on the top of our advanced search & analytics platform. And now, they have created an “SBA factory” serving all kinds of business needs.

Sinequa ES is designed for high performance content analytics across functions and industries, it offers a powerful platform to create search-based applications (SBA) with hitherto unimaginable speed. This allows them to create Apps for any operational, individual and data need.

architecture-en

Our unique content analytics, including Natural Language Processing, produce a “rich” index, with information added on top of the original sources: meta-information, concepts and relationships between contents, etc. Only such a rich index can serve as a platform for an abounding and ever-growing set of Search Based Applications (SBA): Its richness ensures that even the SBAs you haven’t thought of as yet will find the information they need to serve their users in the index. If you need to delve into the original data sources, Apps become too difficult to construct.

Our customer AstraZeneca’s vision is to have Search nourish their next generation of business intelligence software and help create new applications. They have created a particularly innovative “App Store”.

Curious now to know more about these Apps and see how they have been deployed?

Click here to request further information

 

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Enterprise Search & Big Data: Building a 360° View of the Customer

The complete picture: Building a 360˚ view of the customer

Graham Woolley from Sinequa explains to EM360° how enterprises will gain a business advantage from having a complete 360-degree view of their customer. He looks into three particular benefits: knowledge, insight and most importantly, establishing a customer relationship.

Listen to the podcast on the Enterprise Management 360° websiteCustomer Service

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The Heat in The Trend Point: June 24 to June 28

We come across so many articles in the media that point to next generation search solutions and innovative business intelligence systems, but there are many companies still using the technology of bygone days. This idea occupied  The Trend Point over the past week.

Despite recent innovations with semantic search capabilities and interface design that tends towards an intuitive user experience, legacy systems still remain in the enterprise. “Enterprise User Experience Matters” summarizes the state of the matter:

The computational legacy of the 1960s is still with us today, despite a surplus of aluminum and gorilla glass. And despite the aspirations being fulfilled on the consumer level, a comprehensive simplicity is lacking at the core of most enterprise software. Obscurity and inconsistency reign (think of BlackBerry’s descent of late) where transparency and interoperability ought to go hand in hand. The egregious result is that the everyday tools, the interfaces that we must interact with daily in our jobs—from banker to lawyer, from journalist to physician—are almost incapable of leveraging the considerable network of information that many of us need to wade through at work.

When the problem has been recognized as an information management issue stemming from the software “solution,” many companies know they must take action. However, there is no one correct path to take. We saw the following summary in “Data Management Tips” offer advice:

Keep in mind that overhauling an existing system or syncing all of the databases in an organization can be an enormous, costly, and difficult project that can take months or years to implement – this may make it impractical, particularly if other projects will deliver a bigger business benefit. However, you can take other steps to improve data management for your team, and for your organization.

What should be done with existing data when replacing a legacy storage system? “Combining Big Data with Existing Data” calls for the integration of data previously collected and stored with the huge chunks of unstructured data represented by varying file types. The following information was relayed in this post:

Big data opens an entirely new data universe to consider and use to improve decision making. But how does a business/systems analyst turn it into actual usable data so that it can be used for operational improvements that result in real business value? Success depends on how fast and seamlessly you can combine your big data with your enterprise data and present that collective information to your decision makers.

While we definitely recommend storing and parsing old data in addition to new data, merging legacy enterprise data warehousing systems with new solutions is not always a cut and dry answer. When there are many search solutions that provide efficient information access in real-time, who needs to hold on to any remaining parts of a legacy search system? Companies like Siemens, for example, are choosing to replace their out-dated search technology with Unified Information Access.

Jane Smith, July 03, 2013

Sponsored by ArnoldIT.com, developer of Beyond Search

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The Heat in The Trend Point: June 17 to June 21

One trend we have seen a fair amount of in The Trend Point is that vendor offering a one-size fits all solution for search so that clients do not have to customize. This past week, in particular, a few stories pointed to this topic.

One article, “The Myth of the Universal Enterprise Search Solution,” relayed the following perspective on a universal search option:

Aside from the fact that the universal search tool organizations are looking for doesn’t exist, two other factors cause failure in enterprise search projects.  Typically, deployment roadmaps for enterprise search don’t define small stages that can provide wins at each step. Too much is left to depend on the success of big chunks of the rollout – chunks that are spaced far apart and that are at significant risk of delay or partial failure . . . Many firms that focus their resources on enterprise search initiatives neglect to move their existing unmanaged and unconsolidated content into fewer and better-managed repositories, a step which can enable easier and more efficient search.

Why does an organization want universal search that could work for any business? The concept intuitively connotes a cheaper cost, of course. In regards to this related issue of budgeting we saw “Budgeting for Enterprise Search is Difficult” describe the challenges IT faces when it comes to determining a level of funds for search. The summary is as follows:

At the point of developing a budget, an IT manager needs to have some idea of the range of packages and what the multiplier is (i.e. per server, per user, per instance). In addition, as with all enterprise software, there will often be a charge for additional software instances for test and development purposes and these (and additional hardware and middleware costs) can quickly mount up but are rarely listed.

While there may not be a universal search solution that works across the board for every business, it would be ridiculous to think that no enterprise search system could be deployed across a single enterprise — encompassing all departments. Working acroos all departments and data silos is the very definition of 3Enterprise” Search. We read about one such solution that can serve all departments in an enterprise organization in “Sinequa and VILT Extend Market Coverage through partnership.” The press release states:

Now, it is possible to use a single Unified Information Access (UIA) platform that indexes and search all repositories of an enterprise or public administration, be they document management systems, ERP or business database applications, CRM and customer support systems, and even email. The Sinequa UIA platform offers the analytic depth and the high performance necessary to deal with Big Data. The cost reduction that comes from this technological consolidation into one platform, combined with usability that allows a user to query data from heterogeneous sources through a single interface, offers “revolutionary” information access and value creation to user organizations.

The Unified Information Access platform as discussed in the last article presents a great option for businesses who want a single search infrastructure across all departments. Sinequa presents itself as the antithesis of information stuck in silos. The solution is deployable out-of-the-box for the right enterprise but it can also be customized to greater serve the needs of any particular client. One testament to their accommodations for clients is seen in the large library of connectors that come readily available to use; there is over 120 and counting.

Jane Smith, June 26, 2013

Sponsored by ArnoldIT.com, developer of Beyond Search

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