Get instant insights from your spreadsheets with advanced analytics and stunning visualizations. No coding required. Make confident decisions backed by data in minutes, not days.
Move from spreadsheet inputs to structured analysis, modeling, visualization and decision-ready reporting through one cohesive analytics environment.
Keep the spreadsheet workflow your team already knows while adding reusable models, automation and analytics.
Combine statistical models, forecasting tools and visualization templates to turn messy data into a coherent analytical story.
Surface patterns, anomalies and forecasts faster with a workflow designed to reduce repetitive analysis.
Leverage advanced statistics and machine learning to uncover patterns, test scenarios and communicate the implications of your data. datascent keeps the workflow understandable from raw inputs to final recommendation.
Bring fragmented datasets into a consistent structure.
Apply statistical and predictive methods to answer focused questions.
Package findings into dashboards, reports and clear decisions.
A modern analytics experience built to reduce friction between the data you already have and the decisions you need to make.
Start with intuitive workflows and progress to advanced analytical methods as your team grows.
Combine data preparation, modeling, visualization and reporting in one repeatable environment.
Connect familiar spreadsheet workflows with cloud collaboration and governed analytical processes.
Explore the platform, start with a free trial, or connect with the team about a tailored rollout.
Start Free TrialFrom data preparation to forecasting and reporting, datascent brings the analytical workflow together in one place.
datascent combines familiar spreadsheet workflows with structured analytical tools so teams can clean, model, visualize and communicate without switching between disconnected tools.
Clean, reshape and validate source data before analysis.
Use forecasting and statistical models to explore what comes next.
Surface unusual observations and explain where they come from.
Build visual workspaces that make patterns visible at a glance.
Use time-series, regression, scenario and probability-based methods to explore what might happen next.
Build dashboards and stakeholder reports from refreshed datasets, with consistent metrics and visuals.
Bring together Excel, CSV, cloud storage and database sources while keeping the analyst workflow recognizable.
Explore the products behind datascent — from Excel-native analytics to collaborative cloud workspaces, planning and visualization.
Each platform focuses on a distinct stage of the analytics lifecycle, while the family shares one visual language and workflow philosophy.
Excel-native analytics for teams that need statistical modeling, data preparation and rapid analysis without abandoning the spreadsheet.
Collaborative analytics for teams that need shared datasets, workspaces and governed reporting across locations.
Scenario planning and forecasting designed for strategy, finance and operations teams.
Interactive dashboards and data storytelling for teams that need to communicate insights clearly.
Use one platform or combine them as your analytical workflow matures.
Bring source data into Core, collaborate in Cloud, test scenarios in Planner and publish stakeholder views in Visualizer.
Run advanced analytics directly alongside the spreadsheet workflows your team already understands.
Run advanced analytics directly alongside the spreadsheet workflows your team already understands.
Use datascent with other parts of the platform family for a connected analytics stack.
Start with the trial experience or contact the team to discuss a wider deployment.
Bring data into the workflow.
Apply models and explore scenarios.
Share the result with the people who need it.
A shared analytics environment for teams that need governed data, collaboration and reusable reporting.
A shared analytics environment for teams that need governed data, collaboration and reusable reporting.
Use datascent with other parts of the platform family for a connected analytics stack.
Start with the trial experience or contact the team to discuss a wider deployment.
Bring data into the workflow.
Apply models and explore scenarios.
Share the result with the people who need it.
Explore multiple futures with driver-based models, forecasts and scenario comparisons.
Explore multiple futures with driver-based models, forecasts and scenario comparisons.
Use datascent with other parts of the platform family for a connected analytics stack.
Start with the trial experience or contact the team to discuss a wider deployment.
Bring data into the workflow.
Apply models and explore scenarios.
Share the result with the people who need it.
Build clear, interactive views that help teams see patterns, compare performance and tell a data story.
Build clear, interactive views that help teams see patterns, compare performance and tell a data story.
Use datascent with other parts of the platform family for a connected analytics stack.
Start with the trial experience or contact the team to discuss a wider deployment.
Bring data into the workflow.
Apply models and explore scenarios.
Share the result with the people who need it.
Download the trial, compare editions, review license options and request pricing for larger teams.
Use the trial to evaluate the analytics experience, compare editions, review licensing or request a tailored quote.
Trial package for Excel-native analytics, sample workbooks and documentation.
Download →Review the differences between Essential and Advanced workflows.
Compare →Choose single-user, team or enterprise-friendly licensing paths.
Review →Tell us what you need and receive a tailored pricing conversation.
Request →| Resource | What it includes | Best for | Next step |
|---|---|---|---|
| Core trial | Essential and Advanced evaluation packages. | Evaluation | Download → |
| Editions | Side-by-side capability comparison. | Planning | Compare → |
| Licensing | License models, renewal and deployment notes. | Procurement | Review → |
| Quote | Pricing request for teams and enterprise. | Procurement | Request → |
Choose the Essential or Advanced edition and connect the trial to your analytics workflow.
Core analytics for teams ready to add structured methods to everyday spreadsheet work.
Advanced analytics with predictive workflows for teams that need more automation.
Use this section to document supported operating systems, spreadsheet versions, add-ins and deployment prerequisites.
| Requirement | Guidance |
|---|---|
| Operating system | Windows 10/11 or recent macOS releases. |
| Spreadsheet | Microsoft Excel 2016+ or Microsoft 365 for the Excel-native workflow. |
| Data sources | Excel, CSV and supported cloud/database connections. |
Use a side-by-side view to understand which edition is appropriate for your workflow.
| Capability | Essential | Advanced |
|---|---|---|
| Core analytics models | Included | Included |
| Visualization templates | Included | Included |
| Predictive forecasting | — | Included |
| Pattern/anomaly analysis | — | Included |
| Scenario planning | Basic | Advanced |
| Automated workflows | Core | Expanded |
Use Essential for core analysis and visualization. Move to Advanced when predictive, automated or more sophisticated modeling workflows become central to your process.
Review the license structure you want to offer, from individual seats to larger team and enterprise arrangements.
For analysts and professionals who need a dedicated datascent workspace.
For departments that need shared processes, consistent models and coordinated analytics.
For larger deployments, academic programs and organization-wide rollouts, request a tailored quote with the number of users, deployment model and support requirements.
Request a QuoteFor full licensing terms, volume pricing and enterprise deployment details, please contact the datascent team or request a quote.
Capture the information needed for a tailored datascent proposal.
Share the basics and use the form to capture a sales or procurement conversation. Fill in the form and the datascent team will respond within one business day.
Browse practical guidance, reference material, sample files and deeper technical reading.
Learn the workflows and methods behind common analytics tasks.
Read articles →Look up functions, methods and practical implementation notes.
Browse reference →Get quick answers to setup, troubleshooting and workflow questions.
Search answers →Practice with example workbooks that demonstrate models and techniques.
View samples →Read deeper perspectives on analytics strategy, risk and forecasting.
Explore whitepapers →Reach the datascent team with a specific question or deployment need.
Contact us →Use Articles for learning, Reference for precise details, Knowledge Base for quick answers, Samples for hands-on practice and Whitepapers for deeper strategic topics.
Use forecasting and anomaly analysis to support data-driven decisions.
Open article →Understand how automated pattern recognition fits into an analyst workflow.
Open article →Prepare messy spreadsheet inputs for reliable analysis.
Open article →Bring shared data into governed collaborative analytics workflows.
Open article →Browse focused articles that explain how to structure, model, visualize and communicate data.
Learn how to structure a prediction problem, choose variables and communicate confidence.
Read guide →Use pattern recognition and anomaly workflows to reduce repetitive analysis.
Read guide →Move from inconsistent source sheets to a reliable modeling table.
Read guide →Coordinate shared inputs and keep data handoffs consistent.
Read guide →Build KPI views that refresh with the underlying data.
Read guide →Connect preparation, modeling and reporting into one repeatable process.
Read guide →Design recurring outputs around refreshed data and reusable templates.
Read guide →Combine trend analysis, scenario planning and risk measures in one workflow.
Read guide →Give analysts a compact way to look up the most frequently used functions, methods and outputs.
| Method / tool | Function | Purpose | Category |
|---|---|---|---|
| Data preparation | clean_table | Prepare tabular source data for analysis. | Preparation |
| Regression | fit_regression | Estimate relationships between variables. | Modeling |
| Forecasting | forecast_series | Project future values from historical observations. | Predictive |
| Anomaly detection | detect_outliers | Surface unusual observations for investigation. | Predictive |
| Correlation | correlation_matrix | Review relationships among numeric variables. | Statistics |
| Scenario analysis | scenario_compare | Compare assumptions and outputs across scenarios. | Planning |
| Dashboard KPI | kpi_card | Present a focused metric with change context. | Reporting |
| Export | export_report | Package findings for stakeholder communication. | Reporting |
Use the knowledge base as your first stop for setup, workflow and troubleshooting questions.
Download the Core trial, open the workbook examples and follow the onboarding guide.
The Core experience is designed around an Excel-native workflow and familiar spreadsheet concepts.
Use the Cloud workspace to connect supported sources and publish shared datasets.
Yes. Planner and Core workflows can be structured around forecasting and scenario analysis.
Use Visualizer to assemble KPI cards, charts, filters and narrative context.
The Sample Spreadsheets page provides a set of downloadable practice models.
Send the team a detailed question and include the page, workbook or workflow where you got stuck.
Contact datascentUse example workbooks to demonstrate modeling techniques and give new users a quick path into the datascent workflow.
| Spreadsheet | Description | Action |
|---|---|---|
| Asset Portfolio | Model a 10-year asset portfolio using correlated return assumptions. | Download → |
| Bivariate Correlation | Explore correlated variables and the impact of relationship strength. | Download → |
| Interest Rate Projections | Test an interest-rate projection model across multiple periods. | Download → |
| Investment Return Modeling | Build a simple return and growth model for planning. | Download → |
| Multivariate Risk | Explore risk across multiple correlated variables. | Download → |
| Portfolio Analysis | Compare two portfolio strategies over a defined horizon. | Download → |
| Retirement Strategy | Model fixed annual withdrawals and portfolio risk. | Download → |
| Value at Risk (VaR) | Estimate downside exposure using simulated profit and loss outcomes. | Download → |
| Risk / Opportunity Model | Evaluate conditional scenarios using probabilities and impacts. | Download → |
Use these long-form resources as the foundation for workshops, planning sessions and analytics operating models.
A framework for combining historical data, forecasting and scenario thinking.
Request whitepaper →How correlated variables change portfolio and business risk estimates.
Request whitepaper →Practical steps for moving recurring spreadsheet work into shared workflows.
Request whitepaper →Principles for designing analytics views around decisions rather than decoration.
Request whitepaper →Learn more about the thinking behind datascent and the way this template is organized.
Modern teams often begin with spreadsheets, then add models, dashboards and reporting tools around them. datascent keeps that analytical journey coherent by connecting familiar inputs with repeatable analytical workflows.
Make sophisticated analytics understandable to the people who act on the result.
Turn one-off analysis into consistent processes, models and reporting cycles.
Respect existing workflows while adding the analytical power teams need.
Use the form for product questions, support, partnerships or deployment conversations.
Browse knowledge resources before opening a support request.
Visit Support →Find trial packages, editions and licensing information.
Visit Downloads →Explore Core, Cloud, Planner and Visualizer.
Explore Platform →Choose the service, training or course you want to discuss, tell us when you would like to meet and share your time zone. We will confirm a short virtual session at your preferred time.
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