Solution

Data Engineering and Analytics

Organise, clean and transform your data to make it useful to business. Data engineering takes up 80% of the time of all data projects, and our rapid tool kit cuts that time by half.

What we do

Challenges we solve

Optimizing data collection process & quality

Collect, organize and optimize different types of data automatically using a data system, while ensuring that the quality standard of data is high. This helps you get the most value out of it.

Building Intelligent Data Platforms

IDPs are AI-driven platforms that make data accessible for real-time analysis across all cloud platforms. With the help of IDP, businesses can get the most out of their data.

Ensuring data governance and security

Addo uses benchmark practices to offer the best consultancy and guidelines for data integrity and security. This can help you be confident about the quality of your data.

Designing interactive dashboards & BI reports

With the help of interactive dashboards, Addo transforms real-time raw data into relevant visuals. Such visualization of KPIs and metrics helps facilitate data-driven decisions

Optimizing data collection process & quality

Collect, organize and optimize different types of data automatically using a data system, while ensuring that the quality standard of data is high. This helps you get the most value out of it.

Building Intelligent Data Platforms

IDPs are AI-driven platforms that make data accessible for real-time analysis across all cloud platforms. With the help of IDP, businesses can get the most out of their data.

Ensuring data governance and security

Addo uses benchmark practices to offer the best consultancy and guidelines for data integrity and security. This can help you be confident about the quality of your data.

Designing interactive dashboards & BI reports

With the help of interactive dashboards, Addo transforms real-time raw data into relevant visuals. Such visualization of KPIs and metrics helps facilitate data-driven decisions

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Read the case study

How we do it

The Addo experience

Data is your company’s most valuable asset. We make sure you get the most value out of it with using our tried, tested, and proven methodologies.

Discovery

We begin by doing a deep-dive into your biggest challenges, goals, and requirements. After careful analysis, we help you identify and prioritise use cases, based on technical feasibility, and business ROI.

Planning

Next, Addo experts map-out the challenges and figure out the most optimal solutions for them. This involves carefully planning all the technical activities and creating a roadmap for the project.

Development

This step involves the actual development of the plan. Using an agile approach we make sure that the development is aligned with the end goals, keeping the relevant stakeholders up to date with progress updates.

Optimisation

This is the most crucial stage of our methodology. Here, we make sure our solution is the most optimal one. We critically test and improve the solution and make sure that it is best suited for your needs.

Discovery

We begin by doing a deep-dive into your biggest challenges, goals, and requirements. After careful analysis, we help you identify and prioritise use cases, based on technical feasibility, and business ROI.

Planning

Next, Addo experts map-out the challenges and figure out the most optimal solutions for them. This involves carefully planning all the technical activities and creating a roadmap for the project.

Development

This step involves the actual development of the plan. Using an agile approach we make sure that the development is aligned with the end goals, keeping the relevant stakeholders up to date with progress updates.

Optimisation

This is the most crucial stage of our methodology. Here, we make sure our solution is the most optimal one. We critically test and improve the solution and make sure that it is best suited for your needs.

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Areas of Expertise

Cloud Data Foundation

Data platforms of the future are born in the Cloud. We help customers design and build secure, governable, cost effective, and scalable Cloud infrastructure across all major public clouds: Azure, AWS, and GCP.

Data Engineering and Migration

Our data modellers, data architects, and data engineers build tool agnostic complex data pipelines to migrate, unify, and consolidate data from multiple sources across the enterprise into a central data lake.

Data Lake Implementation

We specialize in building data lakes and ensuring that they don’t turn into data swamps. Raw data is ingested, organised & structured between data tiers where it’s curated at each step. This maximizes business value while minimizing cost of storage.

Enterprise Data Warehouse Modernization

We help modernize data warehousing by migrating your existing data warehouse solutions to Cloud native solutions such as AWS Redshift, Azure Synapse SQL Pool, GCP BigQuery, and Snowflake.

Advanced Analytics

Our Data Platform enables self-service access to data, enabling data engineers, data analysts, data scientists, and machine learning engineers to work together seamlessly to churn through petabytes of data and generate meaningful insights.

Managed Services

Our team of experienced data architects, data engineers, machine learning engineers, and data scientists at Addo provide select strategic customers with ongoing post-production support services.

Our Data & Analytics accelerators

Quickly, efficiently, and cost-effectively scale Data & Analytics solutions tailored to your business needs, through pre-built Data modules, platforms, and dashboards.

Data migrations


Fast track the delivery of different types of data migration scenarios such as lift and shift, replatforming, or rearchitecting of existing solutions, across multiple Cloud and on-premises platforms.

Big Data pipelines


Expedite the delivery of data and analytics across platforms. We build distributed data pipelines for big data workloads ranging from hundreds of gigabytes to petabytes of both batch and streaming data.

Customer 360 platform


Unite all your teams around the customer. Customer 360 brings sales, service, marketing, commerce, IT, and analytics together through digital workflows that power an all-new way to work.

Advantages of being a data-driven organization

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Engaged customers

Unlock the power of data to anticipate customer needs and personalize customer journeys across all touch points leading to a highly engaged customer base.

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Informed decisions

With highly reliable and trusted data available at your fingertips, make informed business decisions that you can rely on.

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Business agility

Being data driven enables you to better predict the market trends and changes. This enables you to adapt to changes way faster than competition.

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Streamlined operations

Optimize and improve your business process and operations through greater visibility and insights into your core KPIs and metrics.

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Enhanced consistency

Democratization of data analytics enables consistent decision making across your business, which translates to persistent growth.

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Improved sales processes

Translate data into revenue opportunities by identifying problems, and developing strategies that can improve performance and grow revenue.

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Engaged customers

Unlock the power of data to anticipate customer needs and personalize customer journeys across all touch points leading to a highly engaged customer base.

thumb_up_alt
Informed decisions

With highly reliable and trusted data available at your fingertips, make informed business decisions that you can rely on.

offline_bolt
Business agility

Being data driven enables you to better predict the market trends and changes. This enables you to adapt to changes way faster than competition.

settings
Streamlined operations

Optimize and improve your business process and operations through greater visibility and insights into your core KPIs and metrics.

vertical_distribute
Enhanced consistency

Democratization of data analytics enables consistent decision making across your business, which translates to persistent growth.

autorenew
Improved sales processes

Translate data into revenue opportunities by identifying problems, and developing strategies that can improve performance and grow revenue.

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Core technologies

  • PySpark
  • PySpark
  • Scala
  • Scala
  • Apache Kafka
  • Apache Kafka
  • Apache Hadoop
  • Apache Hadoop
  • Apache Spark
  • Apache Spark
  • Cloudera
  • Cloudera
  • YARN
  • YARN
  • Apache Cassandra
  • Apache Cassandra
  • Sqoop
  • Sqoop
  • Talend
  • Talend
  • AWS EMR
  • AWS EMR
  • AWS Glue
  • AWS Glue
  • AWS Kinesis
  • AWS Kinesis
  • Pub/Sub
  • Pub/Sub
  • Data Proc
  • Data Proc
  • Azure Data Factory
  • Azure Data Factory
  • Databricks
  • Databricks
  • Hive
  • Hive
  • AWS Redshift
  • AWS Redshift
  • AWS Athena
  • AWS Athena
  • Snowflake
  • Snowflake
  • BigQuery
  • BigQuery
  • Azure Synapse Analytics
  • Azure Synapse Analytics
  • Teradata
  • Teradata
  • Vertica
  • Vertica
  • Qlik
  • Qlik
  • Tableau
  • Tableau
  • PowerBI
  • PowerBI
  • Data Studio
  • Data Studio
  • AWS Quicksight
  • AWS Quicksight

Learn how your can become more data-driven

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