mount analytics
Our services
Services
What sets Mount Analytics apart is our unique ability to merge technical expertise with financial industry context, ensuring the most effective solutions for your organization. Our services support cross domain collaboration, enabling smarter use of knowledge and expertise—ultimately driving measurable business value.
Streamlined Data Collection Process
We streamline the data collection process—tailoring it to your objectives through ETL, text processing, data modelling, and consumption analysis. Read more →
Data Exploration
We bring structure to the process without limiting flexibility. Using ready-made templates and automated pattern detection, we improve collaboration and forecasting capabilities. Read more →
Data Quality Measurement
Using historical data, external sources, and lightweight rules, we detect input issues—even in unstructured documents—and provide audit-ready corrections. Read more →
Algorithms and Models
Mount Analytics helps organizations design, build, and implement tailored models or select suitable third-party solutions, including climate risk, credit risk, and financial forecasting models. Read more →
Reporting and Visualisation
Mount Analytics helps bridge the gap by translating business needs into functional reporting, automating workflows, and guiding the shift to narrative reporting using tools for number-driven textual insights. Read more →
Training and Awareness
We bridge this gap with targeted training modules—helping analysts connect their work to business outcomes and enabling leaders to confidently engage with data science initiatives and emerging technologies. Read more →
Streamlined Data Collection Process
Data collection is often seen as a basic task, yet it consumes most of analysts’ time and is rarely structured for reusability. This leads to inefficiencies, knowledge silos, and inefficient handovers. At Mount Analytics, we streamline the data collection process—tailoring it to your objectives through ETL, text processing, data modelling, and consumption analysis. We also provide clear documentation, including business rationale and quality scans, enabling teams to quickly identify high-value data and confidently build on previous work.
Data Exploration
Data exploration is essential but often unstructured, leading to unclear outcomes and limited reusability. At Mount Analytics, we bring structure to the process without limiting flexibility. Our methodologies guide data science teams in documenting discoveries, design and implement reusable components, and verify alignment with business goals. Using ready-made templates and automated pattern detection, we improve collaboration and forecasting capabilities. The result: faster insights, clearer communication, and a stronger foundation for future analysis across teams and projects.
Data Quality Measurement
Most organizations acknowledge the importance of quality data, yet few manage to define, measure, and maintain it effectively. Manual checks can’t scale with growing complexity, and functional data quality rules are often missing. At Mount Analytics, we implement data quality frameworks that not only monitor but enforce improvements. Using historical data, external sources, and lightweight rules, we detect input issues—even in unstructured documents—and provide audit-ready corrections.
Algorithms and Models
The rise of data, cloud computing, and open-source tools has expanded the use of algorithms across industries , driving business adoption. However, companies often struggle to develop in-house models due to resource, knowledge or time constraints. Off-the-shelf models offer a shortcut but require proper calibration and understanding of the underlying methodology to be effective. Mount Analytics helps organizations design, build, and implement tailored models or select suitable third-party solutions, including climate risk, credit risk, and financial forecasting models.
Reporting and Visualisation
Once data is processed or a model has been deployed, it must be translated into insights for end-users—typically through a handover to BI teams for reporting and visualization. Mount Analytics helps bridge the gap by translating business needs into functional reporting, automating workflows, and guiding the shift to narrative reporting using tools like Power BI, Tableau, and LLMs for number-driven textual insights.
Training and Awareness
Data analysts use complex techniques to deliver insights, but often struggle to communicate results in a way that’s clear to non-technical stakeholders. This can lead to misaligned expectations and reduced business impact. At the same time, senior management may lack the background to effectively guide or interpret analytical work. Mount Analytics bridges this gap with targeted training modules—helping analysts connect their work to business outcomes and enabling leaders to confidently engage with data science initiatives and emerging technologies.
Partnership Mount Consulting
Through our partnership with Mount Consulting, we gain direct access to deep financial industry expertise, enabling us to understand both the data and its business context—complementing our own data analytics proficiency. This powerful combination is key to our role as a strategic partner, allowing us to deliver insights that are both technically robust and commercially relevant.
Moreover, our approach is always tailored to each organization, incorporating company-specific data architecture, management practices, and industry best practices to ensure seamless integration and long-term value.
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