Unlock Data-Driven Insights
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About this service
Summary
FAQs
What types of data can you work with?
We can handle a wide variety of data, including spreadsheets, databases, cloud-based platforms (like CRMs or ERPs), PDFs, APIs, and even unstructured text. If your data is messy or fragmented, we specialize in making sense of it.
How long does a typical engagement take?
It depends on your data complexity and goals, but most clients start seeing value within 2–4 weeks. We offer short engagements to get quick wins, as well as longer-term partnerships.
We already have analysts—why would we need your service?
In-house analysts are great for reporting and insights. We go further by laying the groundwork for automation. We help structure and streamline your data so your team can spend less time cleaning and more time innovating.
How is this different from traditional business intelligence (BI) tools?
Most BI tools focus on dashboards and reports. We go beyond that by preparing your data for advanced, AI-powered workflows—like automatic report generation, personalized customer journeys, or smart decision-making systems.
Can you integrate with our existing tools and systems?
Yes. We focus on working with your existing tech stack, whether it's Excel, Google Sheets, SQL databases, Notion, Airtable, or custom platforms. Integration is part of the process.
Do you offer automation as part of your service?
Yes, but only after the data is structured correctly. This creates a rock-solid foundation for automation so it doesn’t break or produce inaccurate results later on.
Is this a one-time service or ongoing support?
It can be both. Some clients want a one-off analysis and setup, while others prefer ongoing optimization and support as their data and needs evolve.
What’s the ROI of investing in this kind of service?
By cleaning and structuring your data early, you reduce wasted time, improve decision-making, and unlock scalable automation. Many clients see significant time and cost savings almost immediately
Will I need to hire developers to maintain what you build?
Not necessarily. We prioritize no-code/low-code and AI-enhanced tools that your team can manage. We’ll also train your staff if needed.
What's included
Exploration Phase
Discovery session to understand your goals, pain points, and success metrics Review of available data sources and business processes Initial hypothesis mapping: what are we trying to uncover or improve? Agreement on key questions the analysis should answer
Data Audit & Preparation
Evaluation of data quality, consistency, and completeness Cleaning and standardization of raw data Handling duplicates, null values, and formatting inconsistencies
Data Integration
Consolidation of data from multiple sources (e.g., CRMs, sales systems, support platforms) Creation of a unified data model tailored to your objectives
Data Analysis (EDA)
Identification of trends, outliers, patterns, and potential correlations Visual summaries of key metrics and behaviors Preliminary insights and questions surfaced
Insight Reports
Clear and concise visual reports showing meaningful findings Business impact breakdown — what does this insight mean for you? Prioritized recommendations for next steps or strategy shifts
Custom Dashboards
Interactive dashboards with real-time or regularly updated data KPIs and filters tailored to your team’s needs
