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Bring your
data to life

Analyze. Build. Grow.

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Transform your business through the power of data.
Profit from the world's data!

The Datera Data Maturity Model (DDMM)
is a framework that sets out precisely
what is required to
develop, implement,
and
sustain a successful data management
strategy 
in your organization.

DELIVERED TROUGH

A collection of Design Principles 
derived from the AWS Data Lens 

for the Well Architected Framework

1

A library of reference architectures 
taken from the best practices and 
from our own industry expertise.

2

A series of services crafted to

align with the design principles to customize the reference architectures 
to each customer particular use case.

3

Design principles

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OPERATIONAL
EXCELLENCE

SECURITY

RELIABILITY

PERFORMANCE
EFFICIENCY

COST OPTIMIZATION

DATA PROWESS STAGES

You manage your business using data

You get answers from your data

You can find your data

You are here, initially

Innovator

Leader

User

Explorer

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How can we help you

These are some of the transformations that we produce in your organization in order to take it to each level of Data Prowess

- Optimize data pipelines for each 
team’s goals, starting with the critical 
path of your value chain
-
Train your leadership and IT to discover 
and/or design new, non-obvious data sources.
-
Implement data-driven decision making 
at the critical levels of the organization. 
-
Provide the basis for the best practice 
“every decision is backed with data”

.

- Find and connect external data sources 
to improve the decision making process
-
Create a Data Lake to democratize 
access to data to the whole organization.
-
Generate automated data quality tests to 
increment the confidence your teams 
have in the data they get

- Create automated metrics for feed 
decisions on your most important 
business processes.
-
Analyze your data garden and design

pipelines to enrich it automatically.
-
Create an information map to help your teams 
to access the information they need today in 
the most effective way possible.

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Those who are succeeding with us

The client needed a flexible approach to ingest and transform data because it has many and dynamic data sources. We implemented a data ingestion and transformation pipeline based on AWS Lambda and EMR, and a data lake using S3. The time from requiring a new data source and having the data was reduced 10x.

A cutting-edge stardup created an innovative approach to feature stores, and they need to convert their local-only prototype to the cloud. We transform the app environment into a secure, reliable, scalable, and multi-tenant solution, so now they are scaling their business exponentially.

Major telco player wanted to process continent-scale phone call data in real-time and detect fraud. Using a combination of AWS Lambda, S3, and Kinesis for the ingestion, LakeFormation for storage, Sagemaker for the modeling, and Quicksight we built an end-to-end solution that allowed them to lower the cost of human auditing and speed up the fraud detection.

SERVICES

Move and transform data

PIPELINE FACTORY

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Adapt and apply AWS

business intelligence tools

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AWS BI

Redesign and optimize

data architecture design

DATA STRATEGY ADVISOR

Automate the creation and management of pre-selected machine learning models

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MLOPS

Optimize data flow

DATA FLOW DESIGN

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Create data lakes to optimize 

all data related processes 

LAKEHOUSE BUILDER

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Contact us!

WANT TO KNOW MORE?