IT's massive
People, companies and machines produce large volumes of data at a constant rate. The architecture and approaches used to store and manage this huge quantity of information is an increasingly important element of business success.
Strategic decision making is tough, no matter your company or industry. But if you put your business data to work for you, data science can clear your vision, identify obstacles and illuminate new opportunities for growth.
People, companies and machines produce large volumes of data at a constant rate. The architecture and approaches used to store and manage this huge quantity of information is an increasingly important element of business success.
Data travels at close to the speed of light. Smarter, faster, cheaper and better architectures can give companies the ability to make decisions, communicate with stakeholders and anticipate trends faster than ever before.
Roughly 85% of data owned by companies is unstructured, yet relevant for decision-making. With our big data platforms and data scientists, businesses can turn this data into actionable insight.
The correctness of data is crucial when making decisions based on reality rather than gut feeling. Machine learning and data enrichment mechanisms increase your data quality.
E-book Data Intelligence
In this free resource, Cegeka experts explore various aspects of and trends in Big Data – shedding light on important concepts and revealing useful insights for your business. (In Dutch)
Look at your existing internal data sources from different perspectives and enrich it with Big Data for immediate insights. Learn how you can use data to maximize returns on investment.
Use QuickStart results to boost your company’s service quality, up-sell new products, gauge churn rate and enhance customer retention. Applicable to diverse sectors including industry, government, healthcare, finance and retail.
QuickStart involves a 7-step process: intake, inventory of data sources, 2-hour value creation and data enrichment workshop, consolidation and validation, data analysis, presentation of views and proposal for action, and operations rollout.
We manage and standardize data architecture, cleaning up your databases and linking data shared between different applications.
Intelligent search and matching optimizes search engine results by detecting complex relationships and integrating real-time data optimally.
Our data visualization techniques enable your company to detect problems, interpret information, find patterns and compare data quickly and easily.
Through Elastic stack architecture, we ensure that you can view, analyze and visualize your data, for actionable insights in real-time.
We use open-source frameworks Hadoop and MongoDB to support the rapid processing and management of large data sets in a distributed environment.
We offer traditional business intelligence and business analytics solutions to give decision makers the ability to make quick decisions based on accurate data.
More data will exist in 2020.
Increase of traffic jams in 2020.
Times more servers will exist in 2020.
Luckily, there are currently 50+ data intelligence experts at Cegeka.
Predictive analysis allows forecasting that bases planning and budgeting on facts and historical data. This approach includes “what-if” scenarios that lead to the right actions to improve performance in multiple areas.
2-week development cycles ensure the market relevance of the product. The team has every chance to evaluate the direction of the project and make adjustments and well-informed decisions.
Our agile approach centers around a constant dialog between IT teams, business decision makers and other stakeholders impacted by the project – for perfectly tailored solutions.