it en ms fi da da da da ca da da da ms hbs_lat ms ms ms en da da ms ms da es da de ro en da da da da de da da de en it da da da es da da en da da da en da sv de da en da en en en en en da pt fr fr en de en sv da da da da sv da da hbs_lat en da en en en en en en en en en da es en en en cs hu da da da en da ms en en en sv da fr da it de en ms ms en it da da de en en en sv da en da en da da en da da da hbs_lat da de de de el de en en tr en en en en en en en es es fi fr fr fr fr hu it it ja ko da nl nl pl pt pt ru sv th tr zh zh ar he
Partnere | Microsoft Power BI
Office 365 + Power BI
Kom godt i gang
Cloud, data and AI are transforming business. Organizations that harness data, cloud services and AI outperform. At Incycle, we are in te business of helping our customers succeed. Common engagements range from proof-of-concepts to full blown system designs and implementations. We generally recommend begin with a business discussion, strategy elaboration and roadmap. Below are areas of expertise specific to data platform and analytics practice.
Business Analytics – We help customers harness te power of data to surface insights to help make better decisions --- faster. Common scenarios include demand forecasting, personalization and predictive analytics. One of our most successful projects delivered a DevOps dashboard. Te primary tool for such projects and visualizations is Microsoft's Power BI.
Data Modernization – Te traditional database footprint is sprawled across infrastructure and not well leveraged.  InCycle provides modernize and/or migration services to move existing data estates and application platforms to Azure cloud services (e.g., moving database workloads from on-premise SQL to Azure-based cloud services). We also commonly move customers from NoSQL (Mongo DB, Cassandra, HBase, Neo4j, etc.) to Cosmos DB and from an OSS DB to OSS DBaaS.
Internet of Things – InCycle cloud architects design and implement IoT and data strategies that create value and scale on demand. Using advanced analytics, customers monetize data produced by IoT devices to create intellectual property. InCycle has experience with medical devices, manufacturing components and consumer hardware.
Data Pipelines - To realize value from data, it takes a series of steps that includes collecting data from various sources, scrubbing data to ensure usability and ultimately pushing te processed data to a location for consumption. These steps collectively are referred to as a data pipeline. Popular Azure services used in te creation of data pipelines include Event Hub, Data Factory, HDInsights, Data Lakes, Cosmos DB, Cognitive Services, Machine Learning, SQL Data Warehouse, Power BI and many more. Te key is selecting te right ones ---- something te InCycle team is skilled at doing. Our goal is to help you surface te valuable insights buried deep inside your enterprise data.
Have a project in mind but don't know where to start? Learn more about our Data and AI customer briefings.
Se flere verdensklasseløsninger skræddersyet til din virksomhed
Vil du være Power BI-partner?
Certificerede partnere er en vigtig del af teamet! Find nye forretningsmuligheder, skab forbindelser, og del dit firmas talent og erfaring med Power BI-brugere i hele verden.
Få mere at vide
Beskyttelse af personlige oplysninger og cookies