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.

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agile 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.

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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