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.
A collection of Design Principles
derived from the AWS Data Lens
for the Well Architected Framework
A library of reference architectures
taken from the best practices and
from our own industry expertise.
A series of services crafted to
align with the design principles to customize the reference architectures
to each customer particular use case.
DATA PROWESS STAGES
You manage your business using data
You get answers from your data
You can find your data
You are here, initially
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
- 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.
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.
Move and transform data
Adapt and apply AWS
business intelligence tools
Redesign and optimize
data architecture design
DATA STRATEGY ADVISOR
Automate the creation and management of pre-selected machine learning models
Optimize data flow
DATA FLOW DESIGN
Create data lakes to optimize
all data related processes