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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The Heat in The Trend Point: May 20 to May 24

In The Trend Point over the past week we have seen rumblings about business intelligence solutions of the past and present and the push many companies are making to deliver solutions based around an efficient and intuitive user experience.

The need for solutions with an easy to use interface is clear. Echoing this sentiment, the post “Business Intelligence Bolstered with Semantic Capabilities” quotes the following from a recent Wired article:

One of the key obstacles in bringing intelligence to BI is interpreting the vast store of data correctly and harvesting the pertinent business ‘stories.’ The end user must understand the context of their data to look for relevant events. A meaningful analytics solution helps users identify actionable business insights rather than generate more reports that lead to ‘paralysis by analysis.’

The trust developed between a user and an app is a sacred bond. The article “BI Solutions Need To Address End Users and Analysts Needs” calls for more enterprise oriented apps to be such trusted sources of information. The following information was relayed in this post:

…knowledge workers suffer not only from information overload, but also from functionality overload. End-users are not analysts. When individuals need to check the weather, they do not perform a detailed analysis of the weather patterns. They trust what the weather app says. Similarly, business users want apps that deliver them the trusted information they need to do their jobs. From this perspective, the consumerization of BI can only be driven by technologies that turn the classic enterprise BI portal into a BI app store, where end users can go and select targeted, specific apps that address their concrete questions.

In “Intelligent Business More than just Business Intelligence we saw the following summary about where BI is headed:

Business intelligence is passé. Now it’s the intelligent business, and this shift is more than a simple name flip…This flip from data-driven decisions beginning inside your company and pushed to the outside world to outside data happening in real time being the driver of your company’s inside operations means big changes for the traditional business intelligence and business analysis vendors. And, of course, those changes present opportunity for the intelligence upstarts.

Traditional BI is not propelling businesses into success as it completely misses the mark on unstructured data. However, solutions like Sinequa’s Unified Information Access extends the view of classical BI to unstructured data, thus helping to make better use of existing reports on all levels of management. Moreover, this technology utilizes nifty linguistic and semantic analysis features that produce structures in the masses of unstructured data. Now that sounds like the makings of a system for an intelligent business.

Jane Smith, May 29, 2013

Sponsored by ArnoldIT.com, developer of Beyond Search

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The Heat in the Trend Point: May 13 to May 17

Enterprise Data Warehousing (EDW) has been an important technology for many years. The basis of the need for data storage and management shows little sign of slowing based on several recent articles that we have seen pop up in The Trend Point over the past week.

One article discusses how Hadoop will impact EDW technologies. “The Future of EDW’s with Hadoop on the Horizon” shares the following:

HBase/Hive are all still very IT focused. They need people with lot of expertise in writing MapReduce programs in Java, Pig, and other specialized languages. Business users who actually need the data are not in a position to run ad-hoc queries and analytics easily without involving IT…Most EDW come with pre-built adaptors for various ERP systems and databases. Companies have built complex ETL functions, data marts, analytics and reports on top of these warehouses. It will be extremely expensive, time-consuming and risky to recode that into a new Hadoop environment…

Another article we saw points to this major emphasis on an efficient and intuitive user experience for professionals in any given organization that are not data experts. “Kerns Interview Shines Light on Future of EDW” sources information found on IBM Big Data Hub:

…what should be happening more, is a trend around users, especially the people who don’t know much about data and don’t exactly need to know much about the data but need answers…Any user who doesn’t know anything about the data side should be able to go into their enterprise interface and type ‘regional sales’ and then have a chart pull up. We should not have to ask people to construct queries for everything.

During the Enterprise Data World event that happened about a month ago, Unified Information Access was a topic that Cambridge Semantics presented on. In “Making Sense of Unstructured Data” we saw the following summary:

Cambridge Semantics will present the case for Unified Information Access at this year’s Enterprise Data World event. Addressing hot topics such as data integration, the challenges of effective MDM and SOA, and enterprise information management, Cambridge Semantics founding team members will highlight how Unified Information Access, powered by semantics, can serve as a critical differentiator for enterprise data management initiatives.

What we are seeing is a push for next generation EDW solutions – or rather the next generation of solutions encompassing EDW,Search and semantic tehcnologies. Many companies are interested in a solution that works out-of-the-box and is not IT-dependent, but that still offers plenty of data accessibility and search capabilities. Unified Information Access (UIA) is leading the way in this sector. With the functionality of both traditional EDW mixed with the ability to perform semantic analysis and extraction on unstructured data, this type of technology goes above and beyond traditional enterprise search and data warehousing.

Search and semantic technologies can contribute in two different ways (amongst others): Augment (meta) data that can then be treated by traditional DW analystics. Extend analysis to unstructured data, for example from public information Websites, in order to deliver the reasons behind changes in figures and performance indicators in BI dashboards.

Visualization and analytics become just a short step for analysts to take when they access data through a UIA platform.

Jane Smith, May 22, 2012

Sponsored by ArnoldIT.com, developer of Beyond Search

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The Heat in The Trend Point: May 27 to May 31

The Trend Point has pointed to a number of interesting articles for small businesses in particular throughout the past week. As larger corporations initially spearheaded the movement towards enlisting software and consulting firms to help them parse big data down to a useable size, now small and medium-sized businesses are seeking big data solutions too.

Webcasts are one way that smaller sized businesses are soaking up information on the current trends and available technologies. In “IBM Webcast Addresses Need for Unstructured Data Analytics” we saw that content analytics is hot:

Companies must be able to analyze both types of content — structured and unstructured. Content analytics is the foundation for a new set of applications aimed at understanding and mining text for new types of business intelligence, adding agility, speed and insight to traditional database tools. A key factor in the use of content analytics is the ability to identify the unexpected and spot emerging trends, new markets or trouble spots in customer relations.

Discussing a common pattern of problems that many small businesses face, “User Experiences Enables Content Analytics for All Sizes of Companies” quotes the following from a recent SAS blog post:

Reliance on spreadsheets or custom reporting and analysis tools only limits your flexibility and output. Spreadsheets were not designed for data analysis, and those specialized reporting and analysis tools often lack the ability to integrate with other critical business applications and processes. Dependence on the IT group for ad hoc reports can slow insights and decisions, putting the company at a competitive disadvantage. Business decision makers feel a loss of control waiting for the already overburdened IT department to generate critical reports.

Big data has created a demand for personnel too. “While Waiting for the Influx of Data Experts” reminds us that many companies are actively searching for not only big data software solutions, but also for data scientists:

With numerous estimates on big data-related hiring at approximately 4 million new jobs by 2015, half of which would be in the U.S., icrunchdata published what it’s calling the first industry index specifically attuned to big data jobs. Under six categories connected to big data hiring, icrunchdata estimated there to be 598,510 jobs, according to information the firm has pulled together from various job posting sites and divided using a proprietary algorithm that’s scrubbed and deduplicated nightly.

Whether an organization is a small, medium or gigantic firm, most companies are facing the problem of data deluge. Finding the right solution or stack of solutions, like anything else, is a matter of addressing the problem and searching for vendors that have the right fit. Unified Information Access solutions with strong content analytics are definitely part of any such such solution stack. Of the more than 250 customers that Sinequa currently serves, there is a huge variance in the types of industry and the size of the company. Learn more about the types of clients that the Unified Information Access platform has helped in providing real-time access to data across multiple applications from a single point of access here.

Jane Smith, June 5, 2013

Sponsored by ArnoldIT.com, developer of Beyond Search

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