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BI in the Cloud

Get your Analytics ready for the Cloud
in just two weeks.

Companies of all sizes are adopting BI in the Cloud for its flexibility, scalability, reduced maintenance, faster deployments, enhanced security, and lower cost. Further, as more data finds its way to the cloud, related services and applications will follow suit. Our BI in the Cloud Kickstart helps you cut through the complexity and secure the ideal tools to elevate your analytics to the Cloud. All in two short weeks.



Our 2-week Kickstart will help your organization: 

landing_cloud_Analytics-03Navigate the complex Cloud landscape

landing_cloud_Analytics-04Identify your ideal Cloud platforms and tools

landing_cloud_Analytics-05Fully prepare your analytics for migration to the Cloud

landing_cloud_Analytics-06Gain the skillsets to manage your BI in the Cloud

landing_cloud_Analytics-07Secure and govern your Cloud data

landing_cloud_Analytics-08Seamlessly retire any legacy analytics


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Our Process

Our strategic approach begins with an assessment of your company’s existing systems, data, KPIs, data governance, and aligns them with your goals, business drivers, and use cases. ideation sessions with key stakeholders identify hotspots of maximum impact, including Customer/Operational Analytics, Financial Planning, Sales & Marketing, Compliance, and Automation. We rank these by organizational & technical readiness, data availability, competencies and skills, and metrics and KPIs. Finally, the Kickstart leaves you with a visualization prototype plus a phased roadmap and recommendations for elevating your data to the cloud.

Our process features an on-site workshop designed to elicit feedback from key stakeholders, ensure buy-in from across the company, and generate excitement and engagement from all participants.

The BI in the Cloud Kickstart follows four key steps, typically over a two-week period:



Maturity Assessment

The initial Kickstart steps evaluate your company’s current state. Using our BI in the Cloud Framework, we evaluate your landscape of Data, KPIs, Owners/Stakeholders and System of Records. Next, we gauge your technical maturity across architectures in terms of Data Access, ETL (Extract, Transform and Load) for systems of record, data storage, security, data governance and MDM, natural language processing and machine learning, and analytical visualization.


Needs Analysis

In the third and fourth steps, we prioritize your business needs by ranking Business Impact, Technical and Organizational Readiness, and Ease of Implementation. Next, we define your BI in the Cloud “Hot Spots” across potential use cases, including Customer/Operational Analytics, Financial Planning, Sales & Marketing, Compliance and Automation.


Visualization Prototype & Roadmap

In the final Kickstart steps, we prototype sample visualizations to bring to light the six BI in the Cloud Framework blocks.


Lastly, our BI in the Cloud Roadmap references Data Governance, Data Storage, ETL to Source Systems, Visualization, and CX Measurement Tools to provide guidance in terms of the people, process, technology, data architecture, and tools you’ll need to begin migrating your analytics to the Cloud. Each Roadmap item is flagged and categorized as “Required,” “Short/Mid/Long-Term” or “Future.”

What you’ll get:

Upon completion of this Kickstart you’ll take away the following artifacts:


Business Priority & Maturity

Big Block Targets BI in the Cloud Heatmap



Sample Visualizations BI in the Cloud Roadmap


Executive Readout

Recommendations Document Timing & Next Steps