Digital Workplace: Digitized Chaos or Information at your Fingertips?

Digital Workplace

You have a digital Workplace, of course. Does it fulfil all the expectations you had when you went “all digital”? Or is getting at the right information still too complex, too cumbersome and time-consuming? Companies often need specialists to extract information for each specific work context. That is not agileand it’s in total contradiction with the modern digital workplace principles promising “information self-services”.

In decent Digital Workplaces, you find information, not data! And this information must be comprehensive and relevant, and delivered instantly, since in the era of digital business models, there is no time to sift through tons of data when you need information. At best, information is delivered proactively, in order to gain time, increase productivity and improve decision making.

Now, many of you may be wondering: “how to create value from data in increasingly digitalized businesses?”; “how to extract relevant information from big and diverse data and then, deliver precise and relevant information to each and every person at the right time?” This might seem like an elusive goal as we create more data than ever in digitalized workplaces, potentially increasing chaos every day.

To overcome these challenges, we need to simplify the digital workplace for users. This requires high performance systems of data retrieval, analytics and information delivery.

In the past, organizations have installed data warehouses and search engines to help people find relevant data. Many of these never delivered on the expectations – and the needs – of users and organizations. They were lacking in analytical power and in performance when faced with large and growing amounts of heterogeneous data and with the need to combine analysis of structured and unstructured data, including most prominently natural language processing (NLP) for a while range of languages.

The new generation of enterprise search platforms have evolved into whatGartner calls “Insight Engines”.

According to this leading analyst firm, 25% of large organizations will have an explicit strategy to make their corporate computing environment similar to a consumer computing experience by 2018; 46% have a digital workplace initiative underway and 4% have appointed a Digital Workplace leader.

As usual, the bright new digital future cannot be “bought” with a new piece of technology. It requires a change of mind-set and a change in corporate culture.  Nevertheless, be aware that the digital workplace technology you select can either facilitate or impede adoption and change of culture.

Gartner specifies these Digital Workplace Principles : Contribution/ Enthusiasm; Digital Dexterity; Autonomy

#1 Contribution/ Enthusiasm: By promoting employee engagement, digital workplaces create a workforce that makes discretionary contributions to business effectiveness

#2 Digital Dexterity: Creating a “consumer-like computing experience” to enable teams to be more effective

#3 Autonomy:  Exploiting emerging smart technologies and people-centric design to support dynamic non-routine work

To step into the era of the reimagined Digital workplace you need the “Insight Engine” to increase your employees’ effectiveness and productivity, to help them better serve their customers while enjoying their work environment.

Sinequa has been mentioned next to Apple, IBM and the likes in the latest Gartner’s Hype Cycle Content Management/Digital Workplace 2015 Reports – for proactive search capabilities that are mandatory for a transition to Digital Workplaces.

Take a look at our presentation in the Gartner Digital Workplace Summit last September in London:

 “The Re-Imagined Digital Workplace: Where is the Beef?

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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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Sinequa Recognized as a Leader in the Gartner 2015 Magic Quadrant for Enterprise Search

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As of 19 August 2015, Gartner, Inc. recognized Sinequa as a leader in the recently released Magic Quadrant for Enterprise Search. Leaders are recognized for their “completeness of vision” as well as their “ability to execute”.

Sinequa moved up into the “Leaders” quadrant from our position amongst the “Visionaries” in the 2014 Magic Quadrant. We incorporated significant technical innovation in its product over the last year, and gained a number of high profile customers in the USA and Europe. Our customers showed great creativity in implementing impressive use cases with strong ROI. Using Sinequa as a unified information access platform, they were able to increase their agility to the point of coming up with Search Based Applications (SBA) within a few weeks. In the process, they gained greatly in standing with their user community and are considered real “business partners” for them. 

According to Gartner, “leaders have the highest combined measures of ability to execute and completeness of vision. They have the most comprehensive and scalable product portfolios. They have a proven track record of established market presence and financial performance. For vision, they are perceived in the industry as thought leaders, and have well-articulated plans for enhancing recovery capabilities, improving ease of deployment and administration, and increasing their scalability and product breadth.”

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For more details, please download Gartner’s 2015 “Magic Quadrant for Enterprise Search” here.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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What About Having 140+ Connectors To All Your Enterprise Data Sources?

An Enterprise Search platform only deserves its name if it connects easily to all or at least most your data sources. If you need access to a data source, you want to have it now, not in 3 months’ time.  Or rather: you need to have it now.

Sinequa offers more than 140 indexing connectors ready for use, developed by our R&D team who can thus control quality and performance. The connectors are non-intrusive, meaning they do not alter in any way the contents and data to be indexed – and they “remember” access rights to all data. Moreover, Sinequa provides a generic connector as a template for developing any additional connectors you may need.

The Sinequa R&D team has continued to develop new connectors to data sources, now at a total of 140 (including PTC Windchill, Mongo DB, Scality, Office 365, box…), as well as to refine language analysis in the 20 languages covered by Sinequa, specifically in Asian languages including Chinese, Japanese and Korean.

You want to go into the cloud? We are already waiting for you.

The Sinequa platform integrates with the major cloud offerings, in particular with Amazon Web Services (AWS) such that customers can benefit from an “elastic” computing facility hosted on the Amazon cloud, and from certain services specific to AWS. The “elasticity” of Sinequa on AWS lets customers instantly scale computing resources to their requirements at each moment in time, be it for the indexing of a large new data source or when adding a large number of users spread across geographical regions.

An Out-Of-the-Box Connectivity to the most widespread structured and unstructured data sources facilitates and accelerates the integration of the Sinequa Big Data & Search platform with your IT landscape. This makes Sinequa projects most often an order of magnitude shorter than the big IT projects (ERP, CRM, BI, etc.) that IT departments have painfully grown used to in the past.

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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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