News and media
26 Feb 2026
In an environment where information is evolving faster than ever, firms can no longer continue to rely on outdated or limited business intelligence platforms. Migrating a monitoring platform is not merely a technical project: it is an opportunity to rethink the entire system, improve efficiency and take advantage of new technologies such as artificial intelligence.
Before any migration, it is crucial to clearly define the objectives of your market intelligence. Is it about monitoring the competition, anticipating regulatory changes, detecting weak signals for innovation, or supporting R&D? All of the above?
The answer guides the choice of platform.
Analysing usage patterns is just as important: who accesses the intelligence, how often, and in what format? The needs of a marketing manager are not the same as those of a product manager or an innovation director.
Finally, selection criteria must include the ergonomics, the ability to manage multiple sources, the advanced features (AI, visualisation, smart alerts) and potential for collaboration between teams.
For example, a platform such as Cikisi, capable of centralising RSS feeds, scientific publications, patents and social media while automating tagging by business domain has the potential to radically transform the system.
Carry out a full inventory of your sources and identify which ones are essential. Check for technical compatibility (APIs, RSS feeds, web scraping) to avoid any loss of critical information.
Cikisi has more than 80,000 news sources and around 2 billion articles. It is likely that the sources you follow are already available.
The query systems used by different solutions are not necessarily identical, with the possible exception of natural language. Map out your existing queries and assess their relevance. Adapt them to the new search engine and test them to ensure that alerts continue to provide the expected information.
Cikisi offers a migration pack to speed up the migration of data sources and queries.
Take advantage of the migration to reorganise your folders, standardise tags and enrich your business ontology. A clear and consistent structure makes it easier to search for and share information, while enabling the new platform to make full use of its automation capabilities.
A migration can be the right time to redefine the scope of the business intelligence team’s activities. A migration can be a challenging process from an organisational perspective, but it may be the right time to view it as an opportunity.
Migrating your intelligence platform offers several strategic benefits:
Cikisi includes an assistant tailored to the platform’s various user groups, available to administrators, business intelligence professionals and readers alike.
The impact of AI is therefore multidimensional, and the ROI is guaranteed given the time savings achieved in producing deliverables, extracting data from content, and optimizing information sources.
Let’s take a concrete example: the virtual assistant helps a product marketing team to receive a weekly summary of relevant product innovations, automatically tagged and classified according to their environmental impact. The team of managers and monitoring officers focuses on the quality of the information and the platform’s general settings, the client team produces its deliverable on demand.
Another possibility, the Cikisi’s API enables secure interoperability, ISD or ISSM-friendly, allowing information to be sent to the right application. The simplest example is feeding a CRM system with qualified information and data for customers, suppliers or opportunities. The Business development team is kept informed in real time, does not need to change its working habits, and onboarding within the team happens naturally.
All too often perceived as a complex technical project, migrating a business intelligence platform is in fact a strategic opportunity. It provides a chance to overhaul your system, reassess your information priorities and align your business intelligence with the organisation’s current challenges.
It is also the ideal time to modernise practices: improving the quality of sources, streamlining queries, structuring knowledges through consistent tags and ontologies, and fully exploiting the new capabilities offered by artificial intelligence.
By approaching migration from this angle, organisations do more than simply change tools: they enhance the strategic value of their intelligence, leverage it and transform information into a genuine driver of decision-making, anticipation and innovation.
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