OppScience Overview
OPPSCIENCE leverages big data and AI to transform information into efficient knowledge. The process is made simple and intuitive.
Use Cases
Customers recommend Lead Analytics, Onboarding, Trade Show Marketing, as the business use cases that they have been most satisfied with while using OppScience.
Business Priorities
Enhance Customer Relationships is the most popular business priority that customers and associates have achieved using OppScience.
OppScience Use-Cases and Business Priorities: Customer Satisfaction Data
OppScience works with different mediums / channels such as Offline, and Trade Shows,
OppScience, belong to a category of solutions that help Knowledge Management. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.
Comprehensive Insights on OppScience Use Cases
How does OppScience facilitate Lead Analytics?
What Are the key features of OppScience for Onboarding?
What Are the key features of OppScience for Collaboration?
9+ more Business Use Cases
8 buyers and buying teams have used Cuspera to assess how well OppScience solved their Knowledge Management needs. Cuspera uses 137 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Knowledge Management needs.
Peers used OppScience for lead analytics and onboarding
OppScience Features
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| FEATURE | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (9) |
| Analytics | Read Reviews (31) |
| Custom Reports | Read Reviews (17) |
| CAPABILITIES | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (9) |
| Analytics | Read Reviews (31) |
| Custom Reports | Read Reviews (17) |
Software Failure Risk Guidance
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Top Failure Risks for OppScience
OppScience Feeds
The ANFSI and OPPSCIENCE are working together to adapt methods of investigation in response to new digital challenges by integrating the SPECTRA intelligence analysis management software
As part of the French Ministry of the Interior’s continuous improvement and crime-fighting initiatives, the French internal digital security force agency (ANFSI) has once again called upon the services of OPPSCIENCE. The company is a leader in knowledge management, data processing and analysis technologies. It has been working successfully with ST(SI)² for about 12 years. The ANFSI took over from ST(SI)² on September 1, 2023, the date of it’s official creation. Through the ANFSI, the Ministry’s operational staff will be able to have access to SPECTRA, the Intelligence Analysis Management software developed by OPPSCIENCE. It has been designed specifically to help law enforcement with their daily duties. SPECTRA has a range of features that were specifically created to tackle LE issues. This collaboration is a sign of the Ministry’s ambition to integrate cutting-edge technologies in the fight against crime. A NEW PARADIGM FOR CRIMINAL INVESTIGATIONS The constant evolution and wide diversity of digital threats require law enforcement, and intelligence services to constantly adapt their methods. New technologies can provide this flexibility. Their use is essential to guarantee the performance of French police and gendarmerie services.  The product of many years of research and development, SPECTRA is an investigation software program based on IAM (Intelligence Analysis Management) technologies. Unlike many other tools, it processes all types of data, both structured and unstructured data. 80% of available information exists in a so-called “unstructured” form (e.g. text format). Most current software only processes structured data, i.e. only 20% of the available information. “Only a few operators have yet understood the potential of this textual material [contained in unstructured data]. These include the judiciary and the police. For years now, these sectors have been putting written information at the center of their data production, ” Gilles André, founder and CEO of OPPSCIENCE. SPECTRA can analyze all data, whatever its source or format (images, video, audio, text). It achieves this by highlighting the relationship between different data to form an overview of the information known about a subject. This gives investigators access to an overall representation from a single point of entry. HARNESSING ADVANCED TECHNOLOGIES TO KEEP THE COUNTRY SAFE The new software will save investigators up to 60% of their time by automating the data collection, analysis, and contextualization processes. This is a paradigm shift that helps make communities safer and allows resources to be allocated more strategically and efficiently. The first challenge awaiting this initiative is the 2023 Rugby World Cup to be followed by the Paris Olympic Games in 2024. These events will give the Ministry’s investigators an opportunity to use SPECTRA to its full potential. “At OPPSCIENCE, we are very proud of our ongoing collaboration with the ANFSI by providing innovative solutions to investigators in an increasingly complex context (2023 Rugby World Cup, 2024 Olympic Games),” announced Guillaume Brejaud, chief operations officer of OPPSCIENCE. ETHICAL CONSIDERATIONS AND DATA CONFIDENTIALITY While new technologies offer numerous opportunities, they also raise ethical questions. OPPSCIENCE’s IAM software complies with the General Data Protection Regulation (GDPR) […]
GDPR – AUDIT AND REGULATION OF PERSONAL DATA
REGULATORY FRAMEWORK The General Data Protection Regulation (GDPR) applies to any business that collects, stores, and/or uses the personal data of European Union (EU) residents, no matter where the business is located. This ensures: The GDPR requires organisations to guarantee that their data complies with the following principles: Violation of the GDPR rules can result in a fine of up to 4% of the company’s revenue. HOW TO SIMPLIFY THE IMPLEMENTATION OF GDPR WITHIN COMPANIES Systems using AI are often the target of scrutiny. As we know, the misuse of AI can lead to risks of discrimination, resulting from a flaw in the design of the algorithm, or more commonly from the use of biased or unrepresentative training data. To avoid such risks, data processors need to be aware of the issues (models based on past references), share them widely internally, and implement safeguards to ensure fair and balanced models. The most difficult data to verify is unstructured data such as emails, texts, etc. because they are scattered in IT management systems. Intelligence and analytics management (IAM) tools help identify personal and sensitive data. Consistent with corporate governance, determining the data’s location is the first step in a data regulation strategy. AN EXAMPLE OF IAM: UNSTRUCTURED DATA THAT IS IDENTIFIED USING SEMANTIC ANALYSIS Some of this data may be part of the company’s files, whereas other data may not be there legally. Depending on the possibilities of internal and external access to these databases, it can be difficult to check them. It is therefore important for the company to regularly check whether all data present is authorised or not, under penalty of punishment. SOLUTIONS FOR COMPANIES OPPSCIENCE’s IAM platform, and more specifically its semantic analysis module, makes it possible to search, analyse and structure large amounts of information from multiple sources to transform it into actionable information. As a result, the company can take all necessary steps to remove inappropriately stored personal data and implement governance to prevent similar negligence from happening again. The intelligence OPPSCIENCE’s IAM brings to issues such as GDPR improves the quality of data used to help make the right decisions.
OppScience Profile
Company Name
OppScience
Company Website
https://oppscience.com/HQ Location
14 Avenue Trudaine 75009, Paris
Employees
11-50
Social
Financials
M&A
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