Capitalize on the power of data analytics and reach your strategic goals with Viseprine’s data engineering and business intelligence services
Our Data and BI experts help you bridge the gap between your data sources and your business goals so everyone on your team can analyze and examine your data from a variety of perspectives, gather new and meaningful insights, draw robust reports, and make actionable business decisions.
Our team helps you map your data analytics strategy to ensure you derive quantifiable business outcomes using a data-driven approach.
More so, we help you establish solid and responsible practices that set the stage for growth.
Our team assists you create a scalable platform with the ability to ingest data from multiple sources.
Platforms to store, process, and secure large amounts of structured, semistructured, and unstructured data irrespective of the size.
Thriving with your data starts with a solid strategy.
Our data and analytics consultants help you develop a long-term, guiding plan that defines the people, processes, and technology you need to put in place so you can start using your data to achieve your business goals.
Leverage the best of Power BI and Viseprine to create, share, and consume business insights in the way that serves you and your business most effectively.
Bring your data to life using easy-to-use dashboards, interactive reports, and compelling visualizations.
Before data works for you, you need to pull it from multiple sources and make it usable. Both ETL (extract-trasform-load) and ELT (extract-load-transform) processes turn data from SQLs, files, PDFs, and CRMs into information that can be assigned clear value.
Depending on what information is needed and who reads it, your engineers need to set up either ETL or ELT before data lands in one bucket. Used by TUI, Slack, or Cisco.
Move web services with their content untouched from server to server or between cloud providers. Or prepare an automated and flexible migration system you can reuse. Yes, we’ll keep the product live.
By centralizing your data, swapping technologies or doing deep analysis becomes efficient. Done by Spotify, Waze, Dropbox, or GitLab.
For fast and unrestricted access to all data, you need to build a lake. If only critical and error-free data matters, better build a warehouse. Rest easy — our engineers can recommend a way forward.
A data lake lets your analysts dig into raw facts with little overhead. Then, your board would appreciate accurate and structured intel from a warehouse. Both solutions are used by Coca-Cola, ING Bank, or Lenovo.
Set up active monitoring for intel that comes from end-users, Marketing, or Sales. Or expand your product’s abilities by processing public data or signals from smart devices.
If you need to catch what’s happening with data now, expand your stack with stream processing technology. Used by Pinterest, Netflix, or Yahoo.