Automate opportunity and threat detection from structured and unstructured information
In today’s global world, Corporations are exposed to everchanging conditions arising from the ecosystem in which they evolve. Therefore, this hyperconnected world risks and opportunities cannot be approached with a departmental concept that will hide certain connections but globally to reveal the business and market ecosystem.
There are several types of monitoring according to its needs and its sector of activity :
Vertical and legal watch
allows you to monitor your sector of activity (customers, suppliers, news, etc.).
allows you to keep informed of the evolution of regulations in the sector in which the company is evolving or wishes to evolve.
allows to monitor calls for tender and the activity of customers or prospects.
is used to monitor the evolution of technologies (appearance or modification of patents, for example) to anticipate the future.
is used to monitor the activity of other market players and detect potential opportunities or threats.
allows you to know what is being said about a company, a business leader, a brand or products and services on consumer opinion websites, forums, social networks, etc.
Talent and expertise monitoring
allows you to detect organizational changes and market trends from observing recently recruited profiles.
At OppScience we trust that the above are a departmental prism when corporations need to embrace information as a whole to cross fertilize knowledge. We call it Business Ecosystem Intelligence.
ofWe commonly find corporations exclusively monitoring the ‘known’ located in their internal applications although having difficulty in converging all available internal information to be accessible through a single point of access.
From converging information, the process will be to identify which are the main stakeholders either organizations or executives to take into consideration to maximize opportunity detection and mitigate risks. Clients, Suppliers, Partners, Employees, Competitors, Regulators, and the relationships existing among them constitute the Ecosystem on which corporations will capitalize knowledge.
This approach needs to take into consideration that a Corporation or an Executive are related to others through ownership (subsidiaries), governance (common board members), business (client, supplier and partner relationships), career path (they worked together in another company), academics (former university or education between executives), associations and much more.
In a B2B environment where risk assessment, KYC/S and financial crime prevention are regulatory, leveraging information to achieve these objectives is legitimate use of data.
However, what can be and cannot be done regarding GDPR remains a Corporate compliance matter.
Hence, identifying this network of relationships is critical as for example a company goes bankrupt and is a major supplier of their customer is a strategic concern.
To maximize efficiency, oppScience recommends going through the following path:
Converge data from internal applications and unveil the value hidden in unstructured data
Most companies have gone through this path by creating Datawarehouse and Datalake. However, we very often discovered that some unstructured information existing in CRMs or ERPs are not taken into consideration as for comments or meeting minutes when this information often gives a lots of context when properly leveraged via Natural Language Processing techniques.
Converge already existing external information siloes
Most corporations heavily invest in acquiring external information from information providers as Media monitoring, Market analysis and reports, Executive profiles, Financial information and reports, Corporate structures and more.
Commonly this information is accessed from a specific portal or application and is not combined with other sources of information. More when considering textual data, the information is not even read by users as too massive.
Consider alternative unused internal information sources
A very common example is to leverage emailing applications which are very often not leveraged due to their unstructured format and potential GDPR related concerns.
The value lying in emails is very high as unveiling the corporate network of employees and executives from their past interactions with external executives or highlighting concerns and opportunities deriving from customers or employees.
Corporate emailing systems should be used for corporate professional purposes only, hence the information enclosed in emails shall not include personal information. However, by misuse or mistake some emails may include personal information and to ensure compliance with GDPR some methodologies are to be applied in accordance with Corporate compliance and Human resources. A last concern being that some confidential or executive emails shall be excluded, and again there are proven methodologies to ensure that confidential or executive information is preserved.
Leverage OSINT (Open Source Intelligence)
Open Source Intelligence (OSINT) is the collection and analysis of information that is gathered from public, or open sources. OSINT is primarily used in national security, law enforcement, and business intelligence functions.
OSINT sources can be divided up into seven different categories of information flow:
- Media, print newspapers, magazines, radio, and television from across and between countries.
- Internet, online publications, blogs, discussion groups, citizen media (i.e. – cell phone videos, and user created content), YouTube, and other social media websites (i.e. – Facebook, Twitter, Instagram, etc.). This source also outpaces a variety of other sources due to its timeliness and ease of access.
- Public Government Data, public government reports, budgets, hearings, telephone directories, press conferences, websites, and speeches. Although this source comes from an official source they are publicly accessible and may be used openly and freely.
- Professional and Academic Publications, information acquired from journals, conferences, symposia, academic papers, dissertations, and theses.
- Commercial Data, commercial imagery, financial and industrial assessments, and databases.
- Grey literature, technical reports, preprints, patents, working papers, business documents, unpublished works, and newsletters.
- And finally, the vast Linked Data ecosystem as DBpedia which the Linked Data edition of Wikipedia for instance. There are tenth of thousands of resources publicly available and covering a large domain knowledge.
OSINT is distinguished from research in that it applies the process of intelligence to create tailored knowledge supportive of a specific decision by a specific individual or group.
USE CASE : Competitive intelligence
French Leading Bank
The Corporate Department of Economic studies of our customer is gathering information from a variety of sources including Media, professional and financial publications.
The variety and volume of information processed to serve Corporate and Investment banking lines of businesses required to automate information processing and analysis through advanced Natural Language Processing techniques to identify a variety of events from text, as Mergers, Acquisitions, Nominations, Financial announcements, partnership and sales press releases, Market threats or opportunities.
In addition, the requirement was to connect information around companies and executives to increase the Corporate knowledge of clients for sales and of corporations for analysts.
Using bee4sense downstream of information sources subscription and collection, our customer succeeded in automating relevant events and detailed attributes associated to serve Corporate and Investment banking departments.
A Link based analytical approach aiming to converge, process, correlate information, and analyze their relationships in each context to recommend analysts and client facing executive to be alerted on potential threats and opportunities and also capitalize customer and market knowledge.
✔ 90% information automated processing
✔ Increased ROI on cost of information
✔ Increase coverage of corporations per capital
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