consulting
change as a service. Through our consulting services we help organizations evaluate their vision, execute experiments, improve, tune and scale changes within the organization and transition to a new operational model
technology consulting
The right architecture design and technology choice form the base of any digital transformation project. Engineering alongside change management is ableneo’s strategical competence, also offered as a service.
ableneo provides a wide range of consulting services related to technology:
modern user interfaces
services offered
- review
- architecture
- development
- migration from server-side applications
technologies
& products
- angular
- react
- typescript
- webpack
application architecture
services offered
- readiness/ review
- design & architecture
- development
- migration from monolithic applications
technologies
& products
- java
- spring boot
- microservices architecture
digital experience platforms
services offered
- dxp readiness
- performance tuning
- design & architecture
- development
technologies
& products
- liferay dxp
infrastructure
& devops
services offered
- creating continuous integration & continuous delivery pipelines
- setup of agile development toolkit
technologies
& products
- open stack
- docker
- atlassian stack
cloud systems
& technologies
services offered
- enabling on-premise to cloud migration
- development of cloud native applications
technologies
& products
- aws
- cloud foundry
- kubernetes
- spring cloud
more information about our technological stack
view technology stack
case study
evaluation & adoption of enterprise open source platform Liferay DXP
ŠKODA AUTO a.s. maintains a strong position on the Western Europe markets, as well as in rapidly developing regions, such as Central Europe and China.
see moreagile organization
be able to change
Ability to adapt to a change in customer and market behaviour is a crucial competence for any enterprise. Agile principles and values are not only relevant to software development, but can be applied to organizational leadership as well.
5 phases of building an agile organization:
ideation phase 1
is focused on understanding the current organization state and defining the WHY for building an agile organization
our enabling services:
- impulse workshops
- agile readiness assessment
validation phase 2
aims to clearly define the business value and minimal detectable change for the organization
our enabling services:
- business value and value stream definition
- defining the organizational minimal
- experiment / MVP planning & definition
experimental phase 3
is designed to test and evaluate the new way of working in a specific part of the organization, with a defined team, goals and timeframe
our enabling services:
- coaching & mentoring for the pilot team
- scrum mastering
& shadowing of the team members
scaling
phase
4
follows up the experiment phase to promote adoption of the verified practices and value within the organization
our enabling services:
- transition to new operational models
- adoption of scaled agile frameworks
continuous improvement 5
in this phase, the new operational model and structure is adopted and introduced in day-to-day operation
our enabling services:
- trainings and mentoring
- review & consulting
case study
Enabling Agile transformation for UNION Insurance
Learn how we enabled UNION Insurance to reduce its time-to-market from an average 12 months to 3 months using our agile approach.
see more
data engineering
& data science
ableneo offers data science competence as a combination of three key competencies (business understanding, engineering, analysis / data mining). We see data science as an exploratory process. We offer our data science consulting services to help you navigate it:
mining 1 data
description
- exploratory analysis
- feature selection
- hypothesis testing
goal
- transformation from raw data to insights
engineering 2 data
description
- feature engineering
- data pipelines
goal
- deriving insights from data into new features
modelling 3 data
description
- statistics and machine learning
- deep learning
- training and tuning
goal
- creating AI to generate result with business potential
evaluation 4 data
description
- evaluation metrics
- inference
- business evaluation
goal
- suggest how results can be applied to potential business cases
case study
Solar data processing using statistics and ML
Take a look at how we enabled Solargis to shorten data operators from hours to minutes using statistical analysis by applying machine learning.
see more