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
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.
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
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.
Informed decisions
With highly reliable and trusted data available at your fingertips, make informed business decisions that you can rely on.
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.
Streamlined operations
Optimize and improve your business process and operations through greater visibility and insights into your core KPIs and metrics.
Enhanced consistency
Democratization of data analytics enables consistent decision making across your business, which translates to persistent growth.
Improved sales processes
Translate data into revenue opportunities by identifying problems, and developing strategies that can improve performance and grow revenue.
Core technologies
- PySpark
- Scala
- Apache Kafka
- Apache Hadoop
- Apache Spark
- Cloudera
- YARN
- Apache Cassandra
- Sqoop
- Talend
- AWS EMR
- AWS Glue
- AWS Kinesis
- Pub/Sub
- Data Proc
- Azure Data Factory
- Databricks
- Hive
- AWS Redshift
- AWS Athena
- Snowflake
- BigQuery
- Azure Synapse Analytics
- Teradata
- Vertica
- Qlik
- Tableau
- PowerBI
- Data Studio
- AWS Quicksight