Ampalaya Analytics

AI = Analytics + Integration

Your business has questions. Your data can answer them.

We help small companies without an in-house analytics team work back from the decisions they need to make, then build the data pipelines to keep useful answers flowing.

Bring us a business question See how we help

01 Business questions first. Technology second.

For teams that need better answers,
not another full-time department.

01 No in-house data team 02 Data across everyday tools 03 Questions worth answering

01 What we do

Analytics that starts
with your business.

We work with you to define the questions you need answered, identify the data behind them, and build dependable pipelines that keep answers current as new data becomes available, with real-time updates where source data allows.

01

Business question discovery

Start with the decision

Clarify what you need to know, who needs the answer, and how it will help your business decide what to do next.

02

Data integration and engineering

Bring the right data together

Connect relevant public datasets with private business data. We engineer the aggregation and transformations that turn separate sources into analysis-ready data.

03

Analytics, machine learning, and AI

Choose the method that fits

Build automated cloud analytics and intelligence pipelines, then apply machine learning and AI to defined business questions where they can provide a useful answer. Databricks is one of the technologies we work with.

04

Ongoing analytics capability

Useful beyond one report

Get experienced data and analytics support without needing to build a full in-house function before you can start.

02 How we work

A straight line from
question to clarity.

Every engagement starts with a business question. We work back to the sources, engineer the data, and choose analysis or machine learning methods to produce an answer people can use.

Start with a conversation
  1. 01

    Define the question

    Agree what the business needs to know and why.

  2. 02

    Integrate the data

    Bring relevant public datasets together with private business sources.

  3. 03

    Engineer and analyse

    Build automated pipelines and apply analytics, ML, or AI where they fit.

  4. 04

    Put answers to work

    Make the resulting intelligence part of decisions.

03 The people behind the work

The people who make
your data useful.

We bring relevant public datasets together with private business data, engineer and aggregate it into reliable pipelines, then apply analytics, machine learning, and AI to answer the questions that matter.

BPCo-founder

Barry Peralta, MSc

DevOps

Brings the cloud environments and delivery operations that help data solutions move reliably from development into use.

barry@ampalaya.ai Read Barry's bio
BDCo-founder

Brett Davis, PhD

Data Engineer

Builds the data pipelines that connect source information to the analysis and intelligence a business needs.

brett@ampalaya.ai Read Brett's bio
GDCo-founder

Guy Davenport, PhD

Business Manager

Connects business priorities with the questions an analytics engagement needs to answer, keeping the work clear and commercially focused.

guy@ampalaya.ai Read Guy's bio
JSCo-founder

Jean Sabado, MSc

Product Owner

Keeps delivery anchored to the people using the outcomes, turning business needs into clear product priorities.

jean@ampalaya.ai Read Jean's bio

04 Start with a question

What do you need
to know?

Tell us about the business question you’re working on. We’ll help you think through the data and what it would take to get a useful answer.

info@ampalaya.ai