Data Analytics Consulting
Turn data into better business decisions.
Business data becomes valuable when it creates clarity about performance, opportunities and the decisions ahead.
SapIA. connects data with the questions that matter, uncovers the drivers behind performance and builds practical analytics that support better decisions across the business.
Our point of view
The value of data begins with knowing what you need to understand.
Business questions first.
Clarity begins with the right business question.
We start with what the organization needs to measure, improve, anticipate or decide. Then we determine which data matters and how to turn it into insight.
The question
gives the analysis its purpose.
The evidence
gives it a reliable foundation.
The context
gives it meaning for the business.
Strong analytics connects all three.
Understand first. Build second.
Analytics framework
From data to decisions.
A clear path from business question to measurable action.
01
Business Question
What do we need to understand or decide?
Details
Define the strategic or operational question that gives the analysis its purpose.
02
Evidence
What information can answer it?
Details
Identify the data, metrics and sources that provide a reliable foundation for analysis.
03
Analysis
What does the data reveal?
Details
Explore patterns, trends and performance drivers with the analytical approach best suited to the question.
04
Insight
What does it mean for the business?
Details
Translate findings into business context, so teams understand their relevance and implications.
05
Decision
What should the insight inform?
Details
Connect evidence with priorities, opportunities and trade-offs to support the decision at hand.
06
Action
What comes next?
Details
Turn decisions into measurable actions, with the feedback needed to track performance over time.
What we help you build
Analytics around your business.
The capabilities behind the decisions that matter.
What the service includes
01Data & Analytics Assessment
Map your data sources, tracking, reporting processes and analytical capabilities, and identify the gaps that limit visibility.
02KPI & Measurement Strategy
Connect business objectives with a focused set of KPIs, shared definitions and targets, so every team measures performance the same way.
03Business & Performance Analytics
Identify the drivers behind revenue, margin, growth and operational performance, and what is changing them.
04Dashboards & Data Visualization
Design dashboards around the questions each audience needs to answer: executive, marketing and growth, customer analytics and custom decision-support reporting.
05Customer & Marketing Analytics
Connect customer, campaign and commercial data to understand acquisition, conversion, retention and customer lifetime value.
06Predictive & Advanced Analytics
Apply forecasting, segmentation and predictive models where the business question and the available data support them.
See analytics maturity ↓Good data visualization reduces the distance between information and understanding.
Analytics maturity
From visibility to foresight.
From understanding performance to anticipating what comes next.
As data, measurement and analytical capabilities evolve, analytics answers increasingly sophisticated business questions.
01 · Descriptive
What happened?
Reliable visibility into performance through the right metrics, reporting and dashboards.
02 · Diagnostic
Why did it happen?
The relationships, patterns and drivers behind business results.
03 · Predictive
What could happen next?
Historical data and models that explore likely outcomes and future scenarios.
04 · Decision support
What should we do?
Evidence, insight, business context and priorities brought together for the next decision.
The right level of analytics is the one that creates the greatest value for the decision at hand.
Where analytics creates value
Focus analytics on the decisions that move the business forward.
Built around the business.
Analytics creates the greatest value where performance, customer understanding and foresight matter most.
Marketing & Acquisition
CAC by channel, campaign contribution, conversion rates and return on marketing investment.
Customers & Retention
Cohort retention, churn signals, customer segments and lifetime value.
Sales & Commercial Performance
Pipeline health, win rates, sales cycle length and the drivers behind revenue.
Digital Experience
Funnel conversion, drop-off points, engagement and how people move through websites and digital products.
Operations & Performance
Productivity, cycle times, service levels and cost drivers across processes and teams.
Growth & Planning
Demand forecasts, scenario planning and resource allocation based on historical performance and business trends.
Different business questions lead to different analytical opportunities. The starting point is always the business.
Illustrative scenario
From three versions of the numbers to one view of growth.
An example of the kind of challenge this service is designed to address.
01 · The starting point
A fast-growing fintech with millions of transactions and dashboards in every team. Leadership couldn't tell which growth initiatives were actually working.
Each team reported a different number for:
02 · The approach
An analytics assessment showed the problem wasn't a lack of data, but a lack of shared definitions: product, marketing and finance each measured the same concepts differently.
The roadmap sequenced three stages:
- 1One shared KPI framework across teams
- 2A customer journey view, from sign-up to retention
- 3Acquisition spend connected to lifetime value
03 · The outcome
One version of the numbers, and growth decisions based on which customers create long-term value, not just on how many sign up.
Discuss a similar challenge →Strategic outcomes
Clarity you can use.
See what matters. Understand why. Decide what comes next.
Depending on the scope of the engagement, your analytics work may include:
Measurement Architecture
A structured connection between business objectives, KPIs and performance measures.
Data & Analytics Assessment
A strategic view of your data environment, reporting processes and analytical capabilities.
KPI & Decision Framework
A focused set of indicators aligned with the decisions that matter across the organization.
Performance Intelligence
The patterns, trends and drivers shaping business performance.
Dashboards & Decision Support
Reporting and visualization that brings the right information into focus for each team.
Customer & Marketing Intelligence
Visibility into acquisition, conversion, behavior, retention and growth.
Advanced Analytics
Forecasting, segmentation and models built around defined business questions.
Recommendations & Next Actions
Clear priorities connecting findings with the decisions and actions they inform.
The result is an analytics capability that turns information into clarity, better decisions and measurable action.
Ways to engage
Engagements can start at any stage and grow with your analytics maturity.
01 · Understand
Analytics Assessment
Map your data, measurement and reporting, and identify what is limiting visibility today.
Data assessment · Measurement architecture
02 · Measure
KPIs & Dashboards
Define shared KPIs and build the dashboards each team needs to track performance.
KPI framework · Dashboards · Performance intelligence
03 · Anticipate
Advanced Analytics
Move from reporting to foresight with customer intelligence, forecasting and predictive models.
Customer intelligence · Forecasting · Recommendations
Not sure where to start? Begin with an analytics assessment.
Start the conversation →Who we work with
Built around your questions.
For organizations ready to get more value from their data.
We work with startups, technology companies and growing businesses exploring questions such as:
Which metrics should leadership use to evaluate performance?
What is really driving our results?
Which customer segments, channels or activities create the most value?
Where can deeper analysis reveal growth opportunities?
How can leadership get one clear view of performance?
How can historical data strengthen planning and forecasting?
How can analytics support faster decisions across the organization?
Every organization begins with a different combination of data, systems and analytical capabilities.
The opportunity is to make that information more useful for the decisions ahead.
Why SapIA.
Sapiens IA SapIA
Data reveals patterns. Technology processes information at scale. Human understanding decides what it means for the business.
Our period, made square: a mark of clarity that turns understanding into deliberate action.
Human wisdom, applied through technology.
Frequently asked questions
Questions worth asking when building stronger analytics.
Every organization has different data. Here are the questions we hear most about measurement, dashboards and turning insight into action.
Discuss your analytics strategy →What is data analytics consulting?
Data analytics consulting helps organizations turn business data into insight by connecting strategic questions with measurement, analysis, reporting, dashboards and decision support.
The objective is greater visibility into performance and better-informed business decisions.
What types of data can SapIA. analyze?
The business question defines the relevant data. An engagement may involve marketing, customer, sales, digital, operational or other business data available across the organization.
Can SapIA. help define the right KPIs?
Yes. We connect business objectives with a focused set of KPIs and supporting metrics, so measurement reflects the performance indicators and decisions that matter most.
See what we help you build ↑Does SapIA. build dashboards and data visualizations?
Yes. Analytics engagements can include executive, marketing, growth, customer and custom decision-support dashboards designed around specific business questions, KPIs and audiences.
What is the difference between reporting and analytics?
Reporting creates visibility into performance through metrics and business information.
Analytics builds on that visibility by exploring patterns, relationships and performance drivers, to understand what the information means and how it should inform decisions.
Does SapIA. provide predictive analytics?
Yes. When the business objective and available data support it, an engagement can include forecasting, segmentation and predictive modeling to strengthen planning and decision support.
See analytics maturity ↑How much data does an analytics engagement require?
It depends on the business question, the analytical objective and the information available.
An initial assessment determines which insights your current data can support and which measurement capabilities would strengthen future analysis.
How can data analytics support business growth?
Analytics creates visibility into customers, marketing, sales, digital experiences, operations and business performance. These insights help organizations identify growth opportunities, allocate resources more effectively and make better strategic and operational decisions.
Can data analytics support an AI strategy?
Yes. Data readiness and analytical maturity are an important foundation for AI adoption. Analytics work helps organizations understand their data, measurement capabilities and business questions as they identify opportunities for more advanced AI applications.
Explore AI Strategy Consulting →Explore other services
Other ways we can help.
From data to decisions
Turn what you know into what you do next.
Every organization starts with different data, questions and analytical capabilities. The opportunity begins with deciding what you want to measure, understand and improve.
Tell us what you're looking to achieve. We'll connect data, insight and business context into a clearer path forward.
Discuss your analytics strategy →