Data cleansing, data cleaning or data scrubbing is the process through which we detect and correct your redundant, corrupt, outdated or inaccurate legacy business data records from your corporate spreadsheet or database. We can help you to normalise Belgian business records and to update or synchronise them with the latest official addresses, company status, VAT number, commercial contact details, relevant stakeholder names, financial ratios or history.
Data enrichment refers to our processes to help you enhance, refine and improve raw data and existing data collection. We aim to contribute to making data a valuable asset for your business, to improve your operations, marketing efforts and customer experience. Enrich your customer information with our high-quality business data. Check our products and API and let us help to integrate them in your systems.
Having a fast, customer oriented Sales Order Process is challenging for any growing company. This process evolves and should be monitored for its effectiveness. Our data-centered approach helps to reduce the bottlenecks in your flow by giving the necessary up-to-date information to each employee who deals with your customers at any step of the process. Your teams will thank you if they no longer need to copy or enter information from “order forms” and avoid typos. You will no longer bother your customers with administrative questions, for which the authentic answer can be found in the official company registers or published bylaws.
Our structured data sets are easy to integrate into accounting and banking applications. Our data layer extends these applications with a rich customer experience and delivers actionable insights to your customers and their users.
Call us if you cant to enrich your applications with “BI from the box” (BI=Business Intelligence).
Our data science team has decades of hands-on experience in computing credit risk related ratios. Our comprehensive data archive supports your credit team to make better informed estimates, preform industry benchmarking and to keep track of your total credit exposure. We’re happy to build or automate your next trustworthy credit decisions support systems.
Our customers in the financial industry and government agencies use our extended data sets, archive collection and pattern detection to power their anti-fraud systems and teams. Our innovative solutions helped them to detect fraudulent patterns in an early stage and made them avoid credit & factoring fraud schemes.
Since 2011 our team has a proven track record in building 2 successful search platforms (data.be & lex.be) to retrieve information from large and unstructured text sources using the latest Elasticsearch platform options. Our experts can help you to conceive, build, optimise or upgrade your Elasticsearch project too.
Text mining (roughly equivalent to text analytics) refers to our process of deriving high-quality information from so called “unstructured text”. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Our data scientists have successfully detected meaningful patterns and entities in millions of documents published as PDFs in the Belgian State Gazette (Het Belgisch Staatsblad / Le Moniteur Belge).
While building data.be our team learned a lot about handling big data sets with the latest open source technologies: Elasticsearch, R, Neo4j, OCRopus, PostgreSQL, Symfony PHP framework, Gradle, Hadoop (Cloudera), HBase, Pig, Zookeeper, Mahout, Hive, Avro, Whirr, Sqoop, HCatalog, Bigtop, Oozie,...
Our powerful entity recognition and extraction engines rely on a combination of open source AI tools and in-house developed deep learning solutions, which can also be used to power your predictive modeling challenges. Our pragmatic and result based approach is always focused on delivering actionable insights.
Business intelligence (BI) is described as a set of techniques and tools for the acquisition and transformation of raw data into meaningful and useful information for business analysis purposes. BI traditionally focuses on using a consistent set of metrics to measure past performance and guide business planning. Our BI is typically summarised in interactive dashboard views to help you answer questions as: “what happened”, “when”, “how often”, “where did it occur”, “what size” and “which counterparties”.
Advanced Analytics goes beyond BI by using sophisticated modeling techniques to predict future events or discover patterns which cannot be detected otherwise. Our Advanced Analytics typically helps our customers to answer questions as “why is this happening”, “what if this trend continues”, “what is likely to happen next” (prediction) or “what is the best that can happen” (optimization).
We offer quality prospect data at affordable prices. Attract and filter your new customers by location, company age, industry, number of employees, financial strength, language,.. We are used to segment prospects, so you can raise the conversion of your prospects to valuable customers, by delivering the appropriate message to the right person.
Customer Relationship Management (CRM) is used to cover all the tools, technologies and procedures to manage your company's interaction with past, current and potential customers. Our CRM data services are designed to improve the sales and support related information exchanges with your business partners by providing the freshest and most comprehensive information overview.
We juggled both official structured open data sets and informal unstructured government sources. We can help you to mash-up or integrate open data sources from CKAN-based portals. We’re familiar with the five star model for Open Data (link to http://5stardata.info/en/) and are used to cope with whatever format up to the Open Linked Data epiphany (so you can please and impress Tim Berners-Lee)!
Our Deal Flow reports are custom made for portfolio managers in venture capital and investment funds, M&A-professionals and family offices to keep them informed about the Belgian deals happening under their radar, often in SMB-sized markets. We detect transactions in the published bylaws and report the meaningful changes in capital, board member affiliations and annual accounts.
80% of our team has mastered data science for over 5 years. Data science is an interdisciplinary field about processes and software systems to extract knowledge or insights from data in various forms (structured or unstructured). Data science is a continuation of older data analysis fields such as statistics, data mining and predictive analytics. We can unlock the value in your company’s data sets too by applying our success recipes.
A Proof of Concept (PoC) is a realization of a certain concept or idea to demonstrate its feasibility. The main purpose is to verify that the applied concept has enough potential of being used and to collect feedback from the interaction with test users. We have developed several financial PoCs, to demonstrate the value of interactive dashboards and to validate their revenue potential. Most customers have subsequently applied the proven concepts on a larger scale in their production systems and legacy applications.
We offer applications and tools to financial institutions to digitalise cumbersome compliance tasks, while reducing their administrative burden on their back-office team and customer base regarding UBO (Ultimate Beneficiary Owner), KYC (Know Your Customer) and Mandate checking. These solutions can be integrated and branded by an individual bank, pooled between banks or run by us as a neutral intermediate.
We offer custom data crunching jobs, that can be useful for data journalism, generate maps of which companies are hiring/firing, who pays how much taxes or to integrate with real-estate property and rental management systems.