SEMANTIC SEARCH ENGINES TO UNLOCK ANSWERS

OMNITIVE SEARCH VISION PAPER 1 ENGINES TO UNLOCK ANSWERS

Introduction

THE SEARCH FOR ANSWERS NOT JUST RESULTS CURRENT LIMITATIONS

Search engines are the most fundamental workhorses in every digital workplace, but Usability its challenges are under documented. Searching still takes up valuable time because of poor usability, where users play a guessing game with search engines, refining different combinations of keywords until they achieve the search results they need. Usefulness of the results is the next pressing issue. Information relevance and recommendations in enterprise search engines are not as robust as public search engines because referral links are non-existent. Thus, traditional page rank algorithms fail in enterprise search. With results not being accurate, even more time is lost in every search reattempt. Lastly, the perpetual ‘unknown unknowns’ plague current users. Users can only reach Usefulness Unknown what they can name. Relevant information that cannot be extracted by a keyword- of results Unknowns based search would therefore not be discoverable.

“Not just listing results but connecting the dots—and quickly”

In today’s digital environment, expanding operations are creating data silos. Organisations are demanding greater data-connectivity for better decision making. To achieve that, enterprise search engines not only need to identify information across both on-cloud and on-premise environments, but also understand and translate users’ complex requirements without the inefficiencies associated with it.

INEFFICIENCIES IN CURRENT ENTERPRISE SEARCH JOURNEY

Fine Tune Repeat Across Final Results User Query Results List Searches Domain Output Query Not Manual Inaccurate Manual and Limited Understood Scrolling Results Repetitive Recommendations Through

OMNITIVE SEARCH’S VISION

A semantic that unearths siloed data and understands the meaning of queries. Connecting the dots, it unlocks real answers across whole of organisations, more efficiently and precisely.

Provide More Understand User Provide Related Expand Searches to Retrieve Corresponding Accurate Results Queries Content other Relevant Fields Knowledge more Efficiently 2 SEMANTIC SEARCH ENGINES TO UNLOCK ANSWERS

Key Components

TARGET GROUP AND NEEDS

Omnitive Search supports today’s tripartite demand; search by users, partners and administrators.

OUR VISION HAS 3 KEY PILLARS

Each would have its respective use cases and features that strengthen the specific pillar.

01 02 03

Accessibility Accuracy of Audit of to insights Information Information 3 SEMANTIC SEARCH ENGINES TO UNLOCK ANSWERS

PILLAR 1: ACCESSIBILITY OF INFORMATION

Omnitive Search’s facilitates simple and complex queries through various types of user specific searches across multiple domains and automatically summarise the content so as to surface relevant searches quickly and their connection to the query meaningfully.

KEY COMPONENTS:

QUERY MULTI-SEARCH CROSS RELATIONSHIP MAP INTERFACE KNOWLEDGE BASES

A mind map showing the A single interface with a host of The ability to conduct searches relationship of information base on user friendly search features to across multiple repositories. a query for quicker identification of find answers quicker. Omnitive information instead of a list of results Search features include, keywords, . contextual, predictive, boolean, syntax, predictive, natural language and knowledge fabric search. .

BOT- SMART CONNECTABLE RECOMMENDATION ENGINE

Direct function-based questions Provide immediate best suggestions can be asked via a bot instead of a by understanding the context of the search query in a search box. query and studying relevant past behaviors of similar queries. 4 SEMANTIC SEARCH ENGINES TO UNLOCK ANSWERS

PILLAR 2: ACCURACY OF INFORMATION

Omnitive Search is robust enough to identify a broader range of information type including documents, images, voice and video, and understand the meaning of information. This facilitates a natural way and precise search.

KEY COMPONENTS:

NATURAL LANGUAGE KNOWLEDGE AUTO PROCESS AND FABRIC UPDATING ENGINE MACHINE LEARNING

Recognise entities based on Identify, and connect Self-learning abilities by merging, knowledge fabric (ontology) and information by relationship from align or replace new information expand metadata of document. various that will enhance with existing ones to enhance both Machine learning service add knowledge discovery. information accuracy and discovery. metadata based on classification model.

PILLAR 3: AUDIT OF INFORMATION

Omnitive Search being a source of truth for analysing search metrics. Analytics on the tagged information would allow administrators the ability to conduct audits on their repositories of information for business process enhancements as well as governance.

KEY COMPONENTS:

FULL SPECTRUM CUSTOMISABLE METRICS DASHBOARD

A mind map showing the A single interface with a host of relationship of information base on user friendly search features to a query for quicker identification of find answers quicker. Omnitive information instead of a list of results Search features include, keywords, . contextual, predictive, boolean, syntax, predictive, natural language and knowledge fabric search. . 5 SEMANTIC SEARCH ENGINES TO UNLOCK ANSWERS

Value Propositions

THE 6 KEY VALUE PROPOSITIONS OF OMNITIVE SEARCH FOR DATA-DIRECTED ORGANISATIONS

01. Productivity Attributable to Search Quality 02. Improve Independent User’s Workflow

Omnitive Search’s ability to reveal a deep understanding of the In connecting information pieces and presenting its query and present the information in a manner that explains relationships, Omnitive Search would offer users a more the relationship and its broader context would hasten the explorative approach towards search, allowing relevant discovery of relevant information, increase search accuracy information to be prioritised for the user’s consumption. This is and decision making speed. a radical enhancement from the current ‘search and fine tune’ method of searching.

03. Accelerate Cross-Functional 04. Facilitate Better Service and Customer Interdependence and Decision Making

With Omnitive Search embedded within departments that For organisations that augment search to upstream work interdependently (eg. Investment banking - Sales and applications like CRM, risk assessment tools or marketing analysts) the use of insights as references would become an automation tools, an in-app search function would provide automated norm instead of process driven meetings which the necessary insights to make a swift and more informed will hasten the decision making process and promote better judgement. collaboration.

05. A Source of Intelligence for Staff Training 06. Ease of Maintenance through Self Updates and Business Performance

The auditable function of Omnitive Search allow Auto knowledge fabric update feature would allow administrators an inside look at searched queries organisations to update their knowledge fabric whenever new and offer insights to the state of staff training. For search information is connected to the information environments. engines used by partners, it can reveal emerging business This keeps maintenance cost low and the benefit is multiplied opportunities to prioritise. when operations are scaled up. 6 SEMANTIC SEARCH ENGINES TO UNLOCK ANSWERS

Conclusion

The value of improving enterprise search impacts the whole of organisation. It is a process that exists in every department, practiced by each staff, every day. Omnitive Search offers the accessibility to insights, accuracy of information and audit of information to match today’s enterprise demands. By connecting an organisation’s knowledge map, Omnitive Search offers a deep level of understanding through presenting context, connections and recommendations that are relevant to the subject of search. The quality of search results will have an obvious impact on the productivity of each department. The analysis of search backlogs will also offer profound benefits to decision making on strategic functions like business operations, risk assessment, staff training and knowledge gaps identification. To maximise these benefits, Omnitive Search is able to build in line with department level goals and has a corresponding roadmap for continuous improvement. With this in mind, the potential of a search engine that connects the dots for organisations is exponential. ADDRESS WEBSITE

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