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TRENDING NOW
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Top line growth, bottom line savings
"With an increasing number of enterprise systems, growing teams, and in pursuit of digital transformation, companies of all sizes are creating immense amounts of data every day. This data contains excellent business insights and valuable opportunities, but it has become impossible for companies to derive actionable insights from this data consistently due to its sheer volume and complexity.

According to Verified Market Research,
the analytics-as-a-service (AaaS) market is expected to grow to $101.29 billion by 2026. Organizations that have not started on their analytics journey or are spending scarce data engineer resources to resolve issues with analytics implementations are not identifying actionable data insights.

Through AaaS, managed services providers (MSPs) can help organizations get started on their analytics journey immediately without extravagant capital investment. 

MSPs can take ownership of the company’s immediate data analytics needs, resolve ongoing challenges and integrate new data sources to manage dashboard visualizations, reporting, and predictive modeling — enabling companies to make data-driven decisions every day."
When a company partners with Process Tempo they are able to tap into business intelligence easily, instantly, and at a lower cost of ownership than doing it in-house. This empowers the enterprise to focus on delivering better customer experiences, be unencumbered with decision-making, and build data-driven strategies with ease.

Managed Analytics

This ebook serves as a guide to data-driven leaders about the up and coming practice of Analytics as a Service, the trends and challenges surrounding data to reconcile in the coming year, and the actions to take in response.

Our Managed Analytics

Analytics as a Service through Process Tempo comes bundled with multiple business-intelligence-related services. Primarily, the service includes services for data warehouses, services for visualizations and reports, and services for predictive analytics, artificial intelligence  (AI), and machine learning (ML). 
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Modern Data Strategy Implementation

Aside from improving the quality and accessibility of trusted data, implementing a modern data strategy can help align data initiatives with organizational strategy, enabling business and technical partners to work more in sync with one another toward their goals. 
 
Process Tempo's Modern Data Strategy Implementation helps not only modernize your organization’s current infrastructure, but modernize your internal approach to that infrastructure in order to deliver analytics capabilities back to the organization.
 
It’s about self-service access, bringing people and data closer together, removing bottlenecks, and making the process more efficient so that data's path-to-value can be realized more quickly.
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When it comes to Data Governance, the majority of organizations will typically take one of two directions: either a Defensive Data Management approach or an Offensive Data Management approach. 

While each of these individual approaches has their own individual benefits, Process Tempo has designed our platform and our Managed Services to help organizations find and maintain a secure balance between the two. 


This means ensuring that managed data is both governed and controlled, yet still flexible for users and for timely decision-making purposes.

It means balancing the needs of the organization with the needs of the typical user, all while adopting the process to increasingly cloud-ready environments.
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Process Tempo provides state-of-the-art democratization of data visualizations. Carefully crafted deliverables and artifacts are easily developed for the unique needs of the organization and its teams, helping propel and accelerate business insight and action.

Our Executive & Operational Dashboards & Reporting augment existing organizational capabilities and harness the power of True Data Design.

Our designs allow for both technical and non-technical users alike to intuitively traverse massive datasets, understand the connections present between them, and easily share that knowledge between peers.