Agile Transformation
Agile development allows to reduce efforts and optimize resources, thanks to improving communication, increasing homogeneity and reducing errors, obtaining more immediate real results, providing value from the beginning and allowing to evolve and scale.
DevOps Practices
DevOps is a methodology specific to the IT industry that impacts on both a technological and cultural level, eliminating silos and encouraging communication and collaboration. The objective? Products more adjusted to the need and a more efficient, fast and safe result.
Product Approach
Imagine a Big Data platform that can be divided into different use cases based on real business needs, developing an evolving infrastructure that responds to future needs. This is how we approach the construction of Data Products.
We help you move forward in the right way
TOWARDS A CLOUD DATA DRIVEN APPROACH
By 2020, companies that are not in the cloud will be as rare as those that did not use the Internet in the 1990s. The innovative and capacity potential offered by the public cloud to any type of company, of any sector or size, is immense. Migrating to the cloud in the right way, efficient information governance and an appropriate and optimised architecture are the keys to the success of this phase.
that you can find:
Data Platform Transformation
We help organizations in their paradigm shift from on premise to public cloud, develop and migrate their data platforms in the cloud adapting to their real experience and cloud maturity level.
Enterprise Governance
Cloud governance involves multiple people and departments. We help you design a complete strategy for adopting and exploiting the public cloud.
Assessment & Optimization
We optimize solutions at all times, analysing the architecture from different points of view: performance, processes, security, reliability, cost control and best practices.
DevSecOps Methodologies
We help adopt these practices to take full advantage of cloud capabilities, streamline delivery times, and have autonomous equipment, eliminating dependence on other departments.
Different sources, formats, uses… Storing information can be easy, the problem is in the exponential growth of data and the lack of organization and homogeneity. What to do with them? How to understand them? Where to start reading? A proper organization of your Data Lake is the first phase to begin to exploit the data and get business value. We help you in the organization, governance and optimization of your Data Lakes.
that you can find:
Operations
Data Lake
An operational Data Lake allows maximum information to be available regardless of structure and volume. We work the ingest, integration and consolidation for its exploitation by Business.
Customer
Data Lake
Consolidate customer information into a single source of data from multiple sources, allowing you to generate a complete picture of reality for a true 360 strategy.
People
Data Lake
Collect in a single site all the information of employees and collaborators (history, promotions, surveys, incidents …) to analyze and propose improvements aimed at loyalty.
IoT Data Lake & Real Time Analytics
The growing amount 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 reinforce its operation.
Sales & Marketing Data Lake
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 Lake
& Real Time Analytics
The capabilities of Data Lakes in the cloud allow storing and processing large volumes of valuable information with the necessary agility while maintaining costs compared to traditional information systems.
Assessment & Optimization
We optimize solutions at all times, analysing the architecture from different points of view: performance, processes, security, reliability, cost control and best practices.
Millions of data are accumulated every day in an incremental way, potential information that contributes Business value and decision capacity if it is exploited in an adequate way. At Keepler we help you build real use cases adapted to your specific needs, based on your information Data Lakes, translating Business or Innovation needs into data products that will solve today’s needs and will be able to evolve to future needs.
that you can find:
Enterprise Governance
Cloud governance involves multiple people and departments. We help you design a complete strategy for adopting and exploiting the public cloud.
Cloud Data Management
It responds to the information needs of different departments in terms of information availability, security and quality: data integration and accuracy, continuous quality improvement, security, confidentiality and regulatory compliance.
Data Visualization
The use of advanced visualizations of the data allows to obtain insights of Business. Charts, graphs, maps… Visual resources to identify and understand trends, exceptions and patterns in the data.
Artificial Intelligence is the technological hype of the moment, the way that data generate information in an automated, more efficient and allow the optimization of processes and decision making. The IA world is full of possibilities and is the most challenging phase for companies today. It is no longer enough to make Big Data, the difference is in providing intelligence to the data through the right combination of algorithms. Do you want to start experimenting with Artificial Intelligence? We’ll help you do it.
that you can find:
Agile transformation:
Discovering use cases
Dynamics oriented towards co-creation allow us to create a catalogue of use cases to start building MVPs. The perfect team: the client contributes his knowledge of the business / sector and from Keepler we contribute technological knowledge.
Cloud Data Lab
& Machine Learning
Life Cycle
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 to successfully exploit data through Artificial Intelligence is to investigate them in depth. We will help you to analyze the quality, completeness or dispersion; at the same time that we deepen the relationship to get closer to Business hypotheses previously raised.
Descriptive Analytics
Statistical techniques allow to go further than visualization, finding hidden relations between all the variables of the datasets and KPIs identified for the Business or the processes.
There are companies that can say that they have already implemented Artificial Intelligence practices. The question now is: What are the next steps? How can I make a profit? At Keepler we want to help you create Business value products from those internal projects based on AI, turning them into a product that goes beyond your organization, generating new revenues or creating new forms of innovation.
that you can find:
Personalization
ML algorithms offer a personalized experience and identify more related products, content or experiences through techniques such as collaborative filtering or content-based recommendation.
Propensityn
The propensity has multiple applications and in Keepler we help you apply it in the most appropriate way: customer life cycle management, pattern detection, risk management of non-payment …
Times Series Forecasting
The use of time series allows analyzing the history to predict aspects such as: evolution of sales, consumption, visits… This makes it possible to identify events that have an impact and to simulate “What if” scenarios.
Segmentation
These techniques allow to identify segments or clusters that share characteristics and differentiate them from the rest, allowing to increase the knowledge of the Business and to define better strategies.
Speech, Text, Video, Image Analytics
There are multiple applications of AI techniques that can provide value in information processing, from audio transcription, NLP algorithms for texts or identification and classification of images.
Edge Machine Learning
The advancement of devices and computer systems makes it possible to provide information systems with decentralized processing capabilities.
Conversational interfaces
Advances in the field of NLP allow us to analyze human language and act on it and thanks to new techniques such as NLU (Natural Language Understanding) we understand contexts and maximize the user experience.
Accelerated Machine Learning
Deep Learning techniques in cloud environments, together with powerful solutions such as GPUs or TPUs, accelerate the computation of information to respond to new cases of use and needs that would otherwise be impossible to address.
The necessity to build products and services around data is common to all activity sectors, whether they are purely digital or physical products. At Keepler, we are specialists in extracting the full value of data.
Our experts are highly qualified. During years, they have developed software products natively on the most advanced public cloud platforms: Amazon Web Services, Microsoft Azure and Google Cloud Platform.
Data is not static. Data products must be continuously and quickly adapted to the customer’s needs. At Keepler, we are agile in the continuous and changing adaptation that a data product requires to bring real value to Business.
Take a look at our job opportunities.
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