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 * BECOME A CLOUD DATA DRIVEN COMPANY
   
   
   INTELLIGENCE FOR YOUR DATA.
   
   WE ARE A FULL-STACK ANALYTICS SERVICES COMPANY THAT DEVELOPS CUSTOM-MADE
   SOLUTIONS ON THE PUBLIC CLOUD.
   
   Contact with an expert
   
   
   

 * 
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Keepler | Cloud Data Driven PartnerKeepler2023-04-12T14:38:03+00:00
Discover the D2E program

Data-Driven Everything, a program by Keepler and AWS to accelerate your journey
towards becoming data-driven.

Learn more
Data Maturity Formula

A system created by Keepler that allows you to measure the degree of data
maturity of an organization.

Learn more


TECHNOLOGY FOR BUSINESS SOLUTIONS.

Cloud Governance

Security, cost, reliability, operations and performance management. Public cloud
adoption requires a set of components, practices and policies for proper
deployment and subsequent scalability.

Data Governance

Data governance is about more than control, it’s about providing confidence in
data, analytics and decision making, taking the enterprise from a reactive to a
proactive state, to being aware of the value of its data.

Learn more

Data Modernization

Migrations to cloud-native platforms, tailored digital products to solve
business challenges, data lakes at the center of data strategy, decentralized
models of data architecture, industrialization of machine learning for use at
scale….

Data
Product

A Data Product is the sum of data, automated cloud infrastructure and
algorithms. Our data products are designed to deliver measurable business value,
integrated into business processes.

Learn more


IMPROVED SALES CONVERSION


IMPROVED SALES CONVERSION

Smart segmentation and customization of customer quotations.


MARKETING CAMPAIGN OPTIMIZATION


MARKETING CAMPAIGN OPTIMIZATION

Improvement and optimization of return on investment in marketing and
attribution models.


CUSTOMER SERVICE PROCESS OPTIMIZATION


CUSTOMER SERVICE PROCESS OPTIMIZATION

Smart client segmentation and smart routing to conversational assistant or to
agent.


CALL ANALYSIS


CALL ANALYSIS

Natural Language Understanding to detect feelings, entities and intentions in
calls to the call center to improve the quality of service and client
interactions.

Learn more


EMAIL ANALYSIS AND CLASSIFICATION


EMAIL ANALYSIS AND CLASSIFICATION

Both e-mail text and the attached documentation with unstructured information.

Learn more


DATA EXTRACTION FROM INVOICES AND CONTRACTS


DATA EXTRACTION FROM INVOICES AND CONTRACTS

Natural Language Understanding to detect entities in documents and perform
automatic processing of the information.

Learn more


PRICE OPTIMIZATION AND CUSTOMIZATION


PRICE OPTIMIZATION AND CUSTOMIZATION

Demand prediction, propensity to purchase and price optimization based on
internal and external data.


SALES FORECASTING AND LOGISTICS OPTIMIZATION


SALES FORECASTING AND LOGISTICS OPTIMIZATION

Logistics process optimization based on sales forecasting.

Learn more

SEE MORE


ENTITY DETECTION IN VIDEOS


ENTITY DETECTION IN VIDEOS

Artificial vision for detecting situations such as intrusions, facial
recognition, material or video text detection; with the deployment of data
models in the cloud or in the Edge.


FRAUD DETECTION


FRAUD DETECTION

Identification and detection of fraud patterns in transactions in real time or
in batches of transactions.


PREDICTIVE MAINTENANCE


PREDICTIVE MAINTENANCE

Early detection of component failures via automatic and smart identification of
anomalies.

Learn more


MANUFACTURING INPUT OPTIMIZATION


MANUFACTURING INPUT OPTIMIZATION

Descriptive analysis of variables to identify optimal and most efficient
conditions.


MATERIAL DEFECT DETECTION


MATERIAL DEFECT DETECTION

Detection of cracks, oxidation, color changes and quality losses in
infrastructure, construction work and manufacturing.


FACIAL IDENTIFICATION


FACIAL IDENTIFICATION

Identity validation via facial recognition for authorization and check-in
processes.


QUALITY OPTIMIZATION IN MANUFACTURING


QUALITY OPTIMIZATION IN MANUFACTURING

Detection in the process of key factors affecting quality and recommendations of
adjustments to improve the quality of the final product.


IOT IN EDGE COMPUTING


IOT IN EDGE COMPUTING

Processing in Edge of information which, due to low latency requirements or
communication problems, cannot be uploaded to the cloud.


IOT SENSOR ANALYSIS


IOT SENSOR ANALYSIS

Data and indicator visualization in industrial environments on sensor data that
is ingested, converted and enriched in real time.


OPERATIONAL DATA ANALYSIS AND VISUALIZATION


OPERATIONAL DATA ANALYSIS AND VISUALIZATION

Calculation and visualization of operational indicators from data ingested from
various sources.


WEB BROWSING ANALYTICS


WEB BROWSING ANALYTICS

Web behavior analysis of customers and website visitors using data from Google
Analytics, Adobe Analytics, etc.


360° VIEW OF CUSTOMERS


360° VIEW OF CUSTOMERS

Integration and consolidation of browsing, transactional, operational and
satisfaction data in a holistic view that allows the customer portfolio to be
segmented and evaluated.

Some of our customers



Testimonials



> They are very competent. Their workers are very professional and high-talented
> with lots of skill in cloud infrastructure, cloud computing and Machine
> Learning. 

Data Scientist Lead, Transportation Company

> They are a very solid team with serious knowledge of data science, algorithms,
> model training, and model scalability. They work with a high level of best
> practices in the field of development.

CTO, Retail Company

> Keepler is a very reliable and skilled provider, always understanding the
> client’s needs and providing the right piece of advice at the right time.
> Clearly, they are a key piece of the team. 

Advanced Analytics Lead, Insurance Company

> They have a very qualified team of professionals that make them manage and
> complete projects with a very high degree of satisfaction. Their knowledge of
> cloud services is very powerful and they always advise the best way to make
> the products more efficient and easier to manage.

Data Engineer Lead, Entertainment Company

> They provide very valuable service based on quality and knowledge. Their
> consultants are highly skilled and know public cloud in depth.  

Global Head of Data Engineering & Tech Architecture, Banking Company

> Impeccable professionalism and market knowledge make Keepler an ideal partner
> for strategic projects in our company.

Data Insight Lead, Travel & Tourism Company

> Trusted company specialized in Cloud with extensive experience in the Data &
> AI field. We have been collaborating for several years on various initiatives
> with highly talented individuals both professionally and personally.

- Head of Data Engineering, Telco Company -

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cloud certifications


WE CREATE YOUR DATA PRODUCTS.



A Data Product solves a business use case, combining public cloud technology,
custom developed business logic and data. Data products are integrated into
company business processes, optimizing customer acquisition and retention
capacities, reducing operating costs and enabling better data-based decision
making.

Keepler offers a Full-Stack Analytics service based on its architecture
capabilities in the public cloud, data engineering, cloud and data governance,
data science and data visualization. Keepler offers consulting and uses agile
methodologies to identify, define and manage the entire data product life cycle.

Using public cloud technologies makes it possible for Keepler to deploy
components and ingest data that is reused in multiple data products, making it
possible to scale the use of data in an organization to scale.

We provide data analysis with a focus on Data Products to ensure that we supply
continuous and operational value from the outset.

 * INCEPTION

 * FOUNDATION

 * DESCRIPTIVE ANALYTICS

 * ARTIFICIAL INTELLIGENCE

 * OPERATION

 * INCEPTION

By applying the Agile methodology, we help you to conceptualize your products
and to align all of a project’s stakeholders in order to carry it out whilst
ensuring success from the start.



 * FOUNDATION

We create the cloud environment using the best, most secure and flexible
practices. Operational landing pages are built within a framework based on the
Well Architected Framework and information and data governance.



 * DESCRIPTIVE ANALYTICS

We build and update Data Lakes and Data Warehouses, in order to carry out the
descriptive analysis of information. Through exploring data and visualization
techniques, a complete view of the organization can be achieved in a short
period of time.



 * ARTIFICIAL INTELLIGENCE

Adding AI / ML into descriptive analytics makes it possible to perform a more
complex and sophisticated analysis. Machine learning generates new information
that enriches the data flow and feeds the ML models to increase the value.



 * OPERATION

Development of the end-to-end project is orchestrated by DevOps, SecOps, MLOps
and FinOps work philosophies. They guarantee the continuous delivery of
functional, quality software that meets its requirements and that has security
built-in to the design, cost control, and the option of making modifications.




WHY SHOULD YOU CHOOSE US?

At Keepler we believe that it is possible to do things differently. We share our
work philosophy and culture with our clients which makes us part of a single
team.
We are Experts

The need to build products and services around data is common in all business
sectors, whether they are fully digital or physical products. At Keepler we are
experts at getting the full potential out of data.

We’ve got real world experience

Our experts are highly qualified and have years of experience developing native
software products on the most advanced public cloud platforms: Amazon Web
Services, Microsoft Azure and Google Cloud Platform.

We are agile

Data isn’t static, so products have to constantly and quickly adapt to clients’
needs. At Keepler we are agile at continuously changing how we act, which is an
important requirement for a data product that brings real value to Businesses.

The journey to build data products.

Having the ability to build data products to scale requires mastery of a number
of techniques and technologies that will be deployed as a essential part of
these products that are then continuously reused. Keepler provides support for
adopting and scaling the use of techniques and technologies that are essential
to optimize use of the public cloud and data at a company.

ESTABLISHMENT OF GOVERNANCE AND AUTOMATION MECHANISMS

Adopting the public cloud at scale requires the establishment of a number of
components from the ground up, facilitating the subsequent management of
security, cost, reliability, operation and performance in large cloud
deployments.

ENTERPRISE LANDING ZONE / FOUNDATION

Design and deployment of the public cloud account structure where the data
products will be hosted. Setting up mechanisms to centralize information on
cloud use and costs, security and performance monitoring. Integration with
third-party monitoring and security tools.

ASSESSMENT AND BEST PRACTICES

Assessment of software already deployed in the cloud with the aim of applying
public cloud best practices. Validation of architectures and recommendations in
order to improve security, costs, reliability, performance, reduce expenses and
improve the operating model.

AUTOMATION

We define and deploy processes and automation to optimize the software life
cycle (DevOps), automate the response to security incidents (SecOps), monitor
and reduce the costs of the cloud (FinOps), scale the use of Machine Learning
(MLOps) and standardize the provisioning of cloud services (Vending Machine).

DATA PLATFORM MIGRATION

We migrate use cases from on-premise and legacy platforms to the public cloud,
undertaking reengineering in order to use the best native data services and
optimize costs and performance. We also migrate use cases from one public cloud
to another using corresponding services between cloud platforms and mitigating
the cloud’s vendor lock-in.

ELIMINATION OF INFORMATION SILOS

Data is the main component in the data products. Therefore, building data
products requires understanding the business data model and identifying business
value datasets, including structured data stored in databases; unstructured
data, such as documents, e-mails, or videos; and semi-structured data, such as
IoT sensor data.

DATA ENGINEERING

Development of processes for extracting, loading and transforming data in batch
or real time mode using Spark, Python, Scala technology and processes based on
microservices and serverless computing. Integration of ingestion with data
governance systems to document the lineage of information.

DATA LAKE OPERATIONS

An operational Data Lake permits the maximum information to be available
regardless of the structure or volume. We work on the ingestion, integration and
consolidation so that it can be harnessed by businesses.

CUSTOMER DATA LAKES

We consolidate customer information from multiple data sources to a single one,
allowing us to generate a full picture of reality for a true 360-degree
strategy.



PEOPLE DATA LAKES

We gather all of the information from employees and partners in one place
(history, promotions, surveys, incidents, etc.) to analyze and propose
improvements in order to increase loyalty.



IoT DATA LAKES

The increasing quantity and complexity of information makes it difficult to
explore. We generate an analysis and exploitation system, both in batch and real
time, applying ML models to strengthen its operation.



SALES & MARKETING DATA LAKES

All marketing, customer and sales actions in a single repository to understand
and predict behavior, helping departments to optimize campaigns and new product
launches.



TRANSACTIONAL DATA LAKES

Data Lake capabilities in the cloud allow the storage and processing of large
volumes of valuable information with the necessary agility while maintaining
costs compared to traditional information systems.

DEMOCRATISATION OF DATA USE

Millions of pieces of data accumulate each day incrementally. This information
has the potential to provide business value and decision making capabilities if
it is exploited properly. At Keepler we can help to build real use cases adapted
to the specific needs of each organization, based on Data Lakes of information,
translating business or innovation requirements into data products that provide
solutions to today’s needs and that will be able to evolve to meet future needs.

DATA GOVERNANCE

We deploy public cloud services for Data Governance and integrate them into data
ingestion, transformation and consumption processes. Data Governance provides a
centralized view of the data life cycle, providing information about its
quality, security level and business importance.



CLOUD DATA WAREHOUSES

We design, deploy and optimize cloud data warehouse technology, which leverages
the separation of information processing and storage to ensure scalability and
access to information for large numbers of users. We design the Data Warehouse
data model to optimize the ability of it to be queried from different
applications.



DATA APIS

We design data access systems and Machine Learning models based on APIs through
using managed API Managers and microservices and Serverless Computing. The
architectures are completely auto-scaling and their cost is based on use.



DATA VISUALIZATION

Business insights can be obtained by using advanced data visualization. Charts,
graphs, maps, etc. Visual resources for identifying and understanding trends,
exceptions and patterns in the data We design and deploy dashboards in cloud
native business intelligence services or in licensed solutions such as
Microstrategy, Tableau and Spotfire.



GENERATION OF INTELLIGENCE FROM DATA

Artificial Intelligence enables new information to be generated from what
already exists, thereby increasing the value of a company’s information.
Integrating Artificial Intelligence into a company’s processes requires being
able to explore, model, train, monitor and retrain data models at scale and in
such a way that they are reproducible.

USE CASE DISCOVERY

Co-creation oriented dynamics allowing for the creation of a catalog of use
cases, as well as the conceptualization of data products in order to start
building Minimum Viable Products.




CLOUD DATA LABS

Automation of environment deployment for data scientists. Teams of scientists
and data experts require configurable and scalable environments. Cloud
Environments provide data access and storage capabilities for exploitation by BI
tools and ML applications.



DATA & RESEARCH

The first step in successfully exploiting the data through Artificial
Intelligence is to investigate it in depth. We’ll help you to analyze the
quality, completeness and dispersion; while at the same time deepening the
relationship to move closer to the business hypotheses mentioned above.



STATISTICAL TECHNIQUES

Statistical techniques allow us to go beyond visualization and find hidden
relationships between all of the data set variables and key indicators
identified for the business or processes.



MACHINE LEARNING TECHNIQUES

Applying machine learning techniques allows hidden patterns in information to be
identified. We apply these patterns to new information to infer or predict
behaviors, values or classifications in an automated fashion and therefore
optimize processes and costs, or generate new revenues.



DEEP LEARNING TECHNIQUES

Discipline within Machine Learning whose techniques are particularly useful when
processing unstructured data such as when in text or images/video. Applying them
enables us to streamline processes that were previously carried out manually or
supervised by people.



INFERENCE IN THE EDGE

Use of devices such as cameras and industrial servers to run models by locally
performing inference without uploading data to the cloud and with significantly
reduced latency. Device installation and automation of model deployment on these
devices.


We are partners






WORK WITH US.

We are looking for the best public cloud software engineers and architects, data
scientists with real project experience and Scrum Masters. If you are one of
them, we are waiting for you at Keepler. Have a look at our job offers.

We are waiting for you
At Keepler we want to grow our team with people who want to develop data-driven
software with two goals: to help our clients in their digital transformation and
to enjoy the process of creating value through technology.
View our openings
Send your resume

If you want to join us and there is no open vacancy that fits you, leave your
resume here and you’ll be considered for future positions.

Salary calculator

Our salary transparency model allows both candidates and employees to know the
potential salary that they would earn in the company.

Become a CitizenK

We talk about data, ML, how the public cloud will drive analysis, learning, new
work philosophies and cultural change in business.

Keepler’s Handbook

A guide intended for candidates and employees and for all those who want to get
to know us better and how our culture works.


YOU CAN FIND US HERE.



IBERIA

DACH

UK


Juanma AramburuCEO


Esteban ÁlvarezGlobal Business Lead


Richard CookeUK Business Lead


Florian SierenDACH Business Lead


Pedro MatosPortugal Business Lead


Contact us

How did you find us*Search enginePartnerEventMediaSocial mediaFriendsOther


I’m interested in*Journey to the cloudData centralizationAdvanced analyticsAI/ML
solutionsPredictive analyticsProcess automationProcess optimizationUnstructured
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