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YOUR DATA HAS MORE TO SAY

Analytics & prediction

Ask a better question.
See what the data reveals.

Connect inboxes, databases, CRMs, and other business sources. Assisto monitors the information, identifies patterns and correlations, and turns it into actionable insights and smart dashboards.

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ANALYTICS & PREDICTION01 / 03
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Natural-language data queriesCross-source insightsReal-time predictive analytics

ANALYTICS & PREDICTION / OVERVIEW

Start with the question your business needs answered.

Teams should be able to explore their data without assembling a new report for every question. Assisto interprets connected business information, derives key performance indicators, and presents the results in a dashboard or a natural-language conversation.

What the engine
can do.

Capabilities that connect the model to the job you need it to perform.

01

Connect the information around the decision

Bring together databases, CRM information, email, and other relevant sources. Monitoring those sources lets the platform work with changes in the underlying information instead of relying only on periodic manual exports.

02

Talk to your data

Ask questions in natural language, including questions about database information. Explore a result with follow-up questions and move from an overview to the records and relationships that explain it.

03

Surface patterns and correlations

Interpret complex information across sources to identify related changes, hidden patterns, and useful predictors. Use those findings to investigate a business problem and support predictive modelling.

04

Give KPIs a usable home

Derive the performance indicators relevant to the business and render them on smart dashboards. Combine current visibility with real-time predictive insights so teams can see both what is happening and what may need attention next.

BUILT AROUND THE WORK

Where analytics & prediction fits.

USE CASE / 01

Revenue operations

Connect CRM and customer communication to investigate pipeline movement and opportunities that need follow-up.

USE CASE / 02

Demand and performance planning

Study changes across transactions and inventory to identify emerging patterns and predictive signals.

USE CASE / 03

Management reporting

Ask natural-language questions about KPIs and inspect the data behind dashboard summaries.

Read the solution case study

FROM CONFIGURATION TO USE

Make it work
for your business.

The deployment starts with your sources, your users, and the task the system needs to complete.

  1. 01Connect authorised business sources and establish the relevant data scope.
  2. 02Define the decisions, KPIs, and questions the team needs to explore.
  3. 03Analyse relationships, surface signals, and build the dashboard view.
  4. 04Monitor incoming changes and refine the predictive models against observed results.

A CLOSER LOOK

Common questions.

Can we connect an existing CRM or database?

Yes. The platform is designed to connect to existing data sources, including databases, CRM systems, and email inboxes. Access and integration details are configured for the source.

Can business users query data without writing SQL?

Natural-language interaction is part of the platform, so users can ask questions about connected data and explore the answers conversationally.

Are dashboards fixed?

The platform derives KPIs and renders them in smart dashboards shaped around the connected data and business questions.

What do predictive insights provide?

They surface patterns, correlations, and model-based signals that can inform future decisions. Evaluate these signals in the context of the available data and the business process.

YOUR NEXT CHAPTER

Let’s build something useful.

Bring your business challenge. We’ll bring AI, data, and a practical way forward.

Let’s talk