Nebu Data Hub
Cloud-based data management platform increasing efficiency and effectivity for your marketing research processes
Manage Primary and Secondary Research Data
Analyze and Visualize Data
Implement Tailor-Made Marketing Constructs
Generate Insights Efficiently
As technology advances, the way data is being used becomes more complex. There are millions of gigabytes of data that can enrich your primary marketing research projects. Nebu
R is used as part of the data analysis toolkit in some of the biggest companies in the world. Google, Twitter, Monsanto, the FDA, Lloyds, Credit Suisse and
Nebu Data Hub with the use of R applied to marketing research needs, provides a flexible, all-in-one, solution for data mining, data analysis, and data visualization. It can help you collect and analyze secondary marketing research data to add value to your primary research findings. This means that you can provide even sharper and more precise insights while increasing work efficiency and reducing cost spending.
There are two types of information: Primary (information collected specifically for the problem), and Secondary (information already collected and owned). To remain relevant and competitive you should be using secondary marketing research data more often.
As the world speeds up, the role of market research also changes. It's no longer just about survey data. More and more clients require marketing researchers to enrich Insights with data from multiple secondary data, like transactional data, Web analytics, delivered 'in the moment', mostly meaning in real-time.
Nebu Data Hub ensures time-efficient processing of secondary data derived directly from online databases, third-party software or open data. Adopting such approach provides cost savings, especially compared to conducting expensive and time-consuming primary research. Performing secondary data analysis can either provide information to meet the research objective or at least assist in gathering current information necessary to conduct more precise and effective further marketing research.
Nebu Data Hub will help you efficiently combine sharp insights from secondary research with precise action steps generated via classical marketing research. Nebu Dub Interviewer, the most flexible quantitative marketing research tool (CATI, CAPI, WAPI, multi/mixed mode), is seamlessly connected with Nebu Data Hub. Sharing collected data with Nebu Data Hub for further data analysis and visualizations with R is as easy as a click of a button.
Nebu Data Hub connects your applications (like Salesforce, SAP, Power BI, Tableau, Excel, Infotools and much more) directly with the research project data stream. Using the power of R you can utilize those data feeds from the start of the project to design a continuous automated process of generating real-time insights.
Marketing research used to be a relatively simple process. Today marketing researchers are looking for more efficient and precise ways of revealing insights by analyzing multiple data types and sources.
Nebu Data Hub supports the OData protocol that allows third-party software to access and process data without affecting your Nebu Data Hub system as a whole, even while it is running. OData also provides you with an easy and uniform way to share data in a discoverable fashion.
Manual updating data in applications takes a lot of time. Nebu Data Hub helps you to automate processes and keep your data continuously updated, from the mere start of the project.
You can conduct the most cutting-edge statistical analytics and create data visualizations using R. Nebu
Over the last few years, marketing research has entered the world of Big Data. Analyzing, visualizing and sharing detailed insights efficiently is a struggle for market researchers.
Our system provides you with has data processing. Now you can prepare reports and dashboards to help capture necessary insights.
The platform allows you to create data visualizations using the power of R, and to connect directly to any reporting and dashboarding tools. The ability to see and utilize data in real-time gives you a possibility to present the updated data to your clients.