We help you drive strategic business
decisions by harnessing the power of data.
Organizations are generating a vast amount of data. But the real value is in the insights. Through the power of partnership between business and technical experts, we ensure you are data-ready before analysis while collaborating with you to translate data into deep, actionable business insights needed to improve your operations and understand your customers.
Propeller offers the technical skills and business expertise to help you generate strategic, data-driven decision-making. Whether you’re struggling to leverage existing data to create business value, have inefficiencies with disparate systems, are wading through too many reports, or need to operationalize data privacy and data security programs—our team of project leaders, data translators, and business analysts have the experience to help.
Data and analytics strategy provides the foundation for implementing and operationalizing a data and analytics environment that delivers sustainable value to organizations.
Data and analytics transformation is the deployment of the organizational data and analytics strategy, including platform selection and implementation and the supporting governance, processes, and change management procedures to drive adoption.
Business Intelligence provides clients with the analytics insights to drive business process optimization, data monetization, and value recovery.
As an embedded partner, we work with you to uncover the root problems and create actionable and sustainable solutions. There’s never a one-size-fits-all approach. However, here are some common challenges we encounter and our solution-finding approach.
Many organizations quickly move into delivery mode to answer ad-hoc business intelligence (BI) requests with short-term metric reporting, leading to inefficiencies and suboptimal solutions.
Practical business intelligence is dependent on a data architecture that provides timely access to high-quality data
Many businesses spend excessive time and effort analyzing data with minimal returns due to business intelligence outputs that are not effectively synthesized.
Most businesses have done an excellent job of building their technical data capabilities. Still, they have sizeable data and analytics skill gaps within their business users, resulting in slow adoption and an inability to scale.
Data governance is critical to the success of business intelligence, but it is often deprioritized within organizations, leading to challenges with data quality, data privacy, and business intelligence throughput.
Blog Post
Unlock the power of data without getting lost in the details by finding the balance between precision and efficiency in data analytics. Learn how to avoid the rabbit hole of endless analysis, streamline decision-making, and ensure your data works smarter for your business goals.
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