Data Analysts

The Challenge

As essential contributors to the analytics process, Data Analysts are tasked with translating business needs into actionable insights. However they encounter several significant obstacles:

Team Capacity: Data analytics teams are overwhelmed with tasks from various stakeholders throughout the organization. This overload results in capacity issues, delays, and bottlenecks, making it difficult to scale
Mapping Business Needs to Data Models: Translating business requirements into technical data terms and structures is often intensive for data analysts
Workload Inefficiency: Locating existing data analytics assets and models can be challenging, and developing new ones is complex and time-consuming. The inability to reuse existing analytics assets and models leads to inefficient and labor-intensive creation of new resources, often reinventing the wheel
Poor Documentation of Artifacts: BI dashboards, reports, and data models, are usually poorly documented. Manual documentation often fail, leaving analysts with incomplete or outdated documentation about these artifacts

Effortless Efficiency
for Data Analysts

Accelerate Analytics Discovery

Speed up responses to analytical business requests with automatically generated BI and data model documentation as well as AI-based discovery

Leverage Analytics Assistant

Utilize our chat-based interface to review any existing reports, dashboards, or models, compare them, and identify the right ones to use

Handle fewer repeat
requests, respond
much quicker

The Challenge

Effortless Efficiency
for Data Analysts

Accelerate decision-making, enhance trust in data and boost analyst productivity – today

Handle fewer repeatrequests, respondmuch quicker

The Challenge

Effortless Efficiencyfor Data Analysts

Accelerate decision-making, enhance trust in data and boost analyst productivity – today

Handle fewer repeat
requests, respond
much quicker

Effortless Efficiency
for Data Analysts