Every organization faces challenges that could be addressed if they were able to harness the full potential of the data within their grasp.&nbsp;In most organizations, there are sources of data that would create actionable insight if they were joined together in a common analytic context. Frank Blau, Data Architect and IT consultant at EBCONT points out that this situation is not abnormal, but that it should be addressed in an effective Data Architecture strategy. 
 
In today&#39;s data-driven world, organizations are inundated with large amounts of data flowing in from multiple&nbsp; sources. This creates a series of distinct problems that are commonly faced:

<ul>
	<li style="list-style-type:disc">Data is stored in different systems (for perhaps good reasons) that do not communicate with each other and cannot be used to uncover insights that their alignment would reveal.</li>
	<li style="list-style-type:disc">Data is arriving in such high velocity that it cannot be consumed effectively by business stakeholders</li>
	<li style="list-style-type:disc">Data arrives in different formats and structures, and more than one approach is needed to understand and consume them.</li>
</ul>

This is where modern data architecture steps in, offering a framework to bring together disparate data into a cohesive structure that can fuel analytics, business intelligence, and the power of (Gen)AI.

Data is not always in the most convenient location to deliver the insight that it may reveal. This may be due to regulatory or even good design principles. Being able to address the needs for holistic insight requires understanding the fundamental requirements driving those location choices and how best to enable the data to contribute to the desired analytic outcomes. Modern data architecture supports several approaches to dealing with these concerns:

Data Federation: the creation of virtual views across multiple sources of data to offer the user a unified perspective.

Data Modeling using Modelstorming:&nbsp;Rather than monolithic waterfall models, application of Agile techniques to data modeling, focused on process outcomes, can produce more adaptable and functional data models. Model storming is a collaborative process where cross-functional teams brainstorm and iterate on data models and analytical approaches. By bringing together diverse perspectives and expertise, organizations can uncover novel insights and innovation.

ETL and ELT processes: Both of these are processes for extracting, transforming and loading data from one system (typically transactional) for use in another system (typically analytic). The difference between them is where and when the transformation is occurring; In ETL it happens before you load the target system and in ELT it happens after.

Data Hubs: A data hub is a centralized repository designed to facilitate the storage, management, integration, and distribution of data from various sources. It serves as a central point in an organization&#39;s data architecture and allows for significant improvements over a data federation approach.&nbsp;

While delivery of a system-level data architecture model is still a core activity in the overall data management process, it has limitations that are exposed as teams begin to work with it&nbsp; in agile processes. When one team is working holistically to realize a product (the data model) over the entire architecture, and the developers are working on discrete stories, features and sprints, there is a mismatch in goals and activities that is not effective or productive. In order to accommodate this (necessary) evolution of the modeling process, we have embraced the iterative techniques of agile development in order to better align with these principles. Iterative processing involves a cyclical approach to data analysis, where insights inform subsequent iterations of data modeling and analysis. This iterative approach enables organizations to adapt to changing business requirements, refine their analytical models, and uncover deeper insights over time.

The process to deliver this goal is called modelstorming. This is a collaborative effort between the data architects, developers and importantly, the users of the data architecture. It is a workshop-based approach that strives to deliver a joint understanding between all relevant parties. These participants should be able to deliver the following inputs:

<ul>
	<li style="list-style-type:disc">Participate&nbsp; in discussions about&nbsp; business processes.</li>
	<li style="list-style-type:disc">Identify key elements of processes to be recorded and measured.</li>
	<li style="list-style-type:disc">Describe data related to the processes being discussed.</li>
	<li style="list-style-type:disc">Collaborate on a consensus for the goals and outcomes of the project</li>
</ul>

While there should still be well-considered system architecture and data management artifacts, the deliverables for the data modeling team will also be more discrete data models, sometimes just at the level of a single inter-application process, such as an API interface or message queue. These component artifacts should also be consistent in form and content with the broader data modelling deliverables. Examples of iterative modeling outputs include:

<ul>
	<li style="list-style-type:disc">Business Event and Modeling diagrams (also known as BEAM) that uncover and document discrete business processes and events.</li>
	<li style="list-style-type:disc">Hierarchy Charts to describe relationships between dimensional attributes</li>
	<li style="list-style-type:disc">An event matrix that describes the relationships between events and dimensions</li>
	<li style="list-style-type:disc">Data mart schemas that describe business-facing perspectives for consumption</li>
</ul>

 
From Silos to Synthesis: Conquering Data Fragmentation the Data Hub Pattern

Fragmented and Siloed Data One of the primary hurdles organizations face is the existence of data that may provide more insight when joined with other data in the broader landscape. Departments often store data in isolated systems, leading to fragmented information and inhibiting cross-functional insights. Silos can hinder collaboration, innovation, and ultimately, the ability to derive meaningful value from data. For example, one system such as a web platform may contain the analytics used to derive customer intent, while another ERP system may contain the transactional activity for your customers. Without synthesizing these disparate data sources, it is difficult to understand the quantitative relationship between intent and purchasing. In another example, there may be incoming data related to patient status that is generated by machines and sensors. Naturally this data is used operationally for the monitoring of patients, but if it is brought into a data architecture where it can be analysed across a broader population (with appropriate regulatory compliance), there may be opportunities to uncover treatment modalities that offer better outcomes for more patients.

Crafting the Data Lifecycle: Modeling, Extracting, and Transforming 
At the heart of modern data architecture lies data modeling. This involves designing a blueprint that defines how data is structured, stored, and accessed within the organization. A well-designed data model provides a common language for stakeholders and ensures consistency and accuracy in data interpretation. ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes play a crucial role in data integration. These fundamental practices involve extracting data from various sources, transforming it into a consistent format, and loading it into a centralized repository or data lake. By automating these workflows, organizations can streamline data ingestion and preparation, enabling faster insights. 
 
Data federation has emerged as one solution to break down these silos. By creating virtual views of data across disparate sources, organizations can access and analyze information seamlessly. This approach fosters agility and flexibility, allowing for real-time insights without the need to physically consolidate data into a single repository, which can be a considerable time and cost savings. It should be noted that many popular tools such as PowerBI and Tableau, allow you to materialize this approach directly within the visualization tool, including transformations, aggregations and joining to multiple sources simultaneously. While this virtual approach can work well when your data is relatively co-located, the weakest link in your data chain will ultimately determine the quality and performance of the system, making this an approach that is often unsuitable for tasks such as building novel applications that should make use of such harmonized data.

Data Hub: The Centralized Nexus for Actionable&nbsp; Insights 
One emergent approach is the development of a data hub, where multiple services and repositories are combined into a single point of innovative interactions. &nbsp;This data hub serves as a centralized nexus for storing, managing, and accessing integrated data. It acts as a single source of actionable truth,&nbsp; providing a unified view of the organization&#39;s data assets, regardless of format or schema. While the data hub is not a replacement for a data warehouse, it may be delivered as a means to collect and conform complex source data that may be arriving in different formats, granularity and velocity.&nbsp; By leveraging a data hub&rsquo;s ability to deliver harmonized data at scale, organizations can simplify data management, improve data quality, and empower users with smart data mastering and self-service analytics capabilities.&nbsp; High-performance data hubs can also be deployed as a component in a hybrid architecture, offering a best-of-breed solution between the federated data, data mesh and data warehouse platforms.&nbsp;

EBCONT has demonstrated considerable success delivering data hub solutions across a broad range of markets, platforms and architectures. We offer the ability to collaborate on a deep dive analysis of how your business requirements can inform an intelligent decision about how this approach can fit into your data management strategy.

Driving Innovation: Iterative Modelstorming

Disconnected data and common data models

While there are often good reasons for an organization to separate data into different tiers of storage and access, many times these tiers and their artifacts become an impediment to a holistic analytic perspective. Understanding these processes and roles and creating a data management strategy is at the heart of an effective data architecture to mitigate this. Being able to understand the ways that data can become disconnected and how to bring it back into a performant conformed perspective would be a key deliverable of your architecture. Starting with collaborative data modeling or modelstorming, and adopting appropriate features like iterative processing, ETL/ELT and data hubs are fundamental building blocks for addressing these challenges.

Frank Blau explains: &ldquo;Bringing together a customer&#39;s disconnected data into a common data model and data access layer is crucial for analytics, business intelligence, and to harness the power of (Gen)AI. Data architecture is the practice of deciding how to build this data model, and with what tools. And that is what we at EBCONT can help.&rdquo;

And Gregor Sieber (Executive Vice President / Head of Consulting and Innovation at EBCONT) delves deeper into best practice :&rdquo;One of our customers in the finance and regulatory space faced the challenge of needing to access data stored in a large number of IT systems whenever they wanted to roll out a new web-based customer product, which created a lot of overhead and duplicated dependencies. As parts of the data were inconsistent, it was also a danger that the validation logic for this data would become inconsistent between the different customer products. By moving to a data hub approach, we were able to centralize the data mastering approach and provide a single, consistent, and scalable API for all new customer products. This has greatly accelerated the creation and roll-out of new products and improved the governance on a data and processing level, which is an essential advantage for organizations in the finance space.&rdquo;

For more information please contact <a href="mailto:gregor.sieber@ebcont.com" style="text-decoration:none">gregor.sieber@ebcont.com</a>.

Summary

Straddling the line between the ambitious visions we see in the media and the reality of delivering actionable data insights can feel like navigating a maze. EBCONT is here to tackle some of the hurdles you might face in today's IT world.
In this series, we're diving deep into the trenches, shedding light on the real-world challenges and presenting practical solutions. Whether it's taming unruly data sets or optimizing your IT infrastructure, EBCONT has a roadmap to guide you.

Unlocking Data Unity: Strategies to Tackle the Disconnect Dilemma

Das &bdquo;Top Gehaltszufriedenheit &Ouml;sterreich 2024&ldquo;-Ranking stellt eine eindrucksvolle Auswahl von Unternehmen vor, die sich durch herausragende Gehaltszufriedenheit ihrer Mitarbeiterinnen und Mitarbeiter auszeichnen. Die Top Ten reflektieren dabei die Vielf&auml;ltigkeit der &ouml;sterreichischen Arbeitslandschaft wobei es spannend ist zu sehen, dass die Branchen Dienstleistung, Personalwesen, Internet und IT im Vergleich besonders positiv abschneiden, indem sie mehrere Unternehmen in den Top-Positionen platzieren.

Die Ergebnisse gehen &uuml;ber eine einfache Rangliste hinaus. Sie bieten einen detaillierten Einblick in die verschiedenen Branchen, welche die Vielfalt der Arbeitswelt in Deutschland und &Ouml;sterreich widerspiegeln. Diese Aufschl&uuml;sselung erm&ouml;glicht es sowohl Arbeitnehmenden als auch Unternehmen, die Lohnzufriedenheit in bestimmten Sektoren gezielt zu analysieren und zu vergleichen.

F&uuml;r Arbeitssuchende ist das Ranking eine wertvolle Ressource, um potenzielle Arbeitgeberinnen und Arbeitgeber in ihrem bevorzugten Sektor zu identifizieren, die nicht nur finanzielle Anerkennung, sondern auch ein f&ouml;rderliches Arbeitsumfeld bieten.

Psychologie am Arbeitsplatz: Gehalt als Schlüsselfaktor für mehr Zufriedenheit und Produktivität

F&uuml;r das &quot;Top Gehaltszufriedenheit Ranking 2024&quot; wurden klare quantitative und qualitative Auswahlkriterien verwendet. Ber&uuml;cksichtigt wurden nur Unternehmen in Deutschland und &Ouml;sterreich mit einem vorhandenen kununu-Arbeitgeberprofil, mindestens 20 Bewertungen (davon f&uuml;nf in den letzten zw&ouml;lf Monaten) in relevanten Kategorien sowie mindestens f&uuml;nf gelisteten Jobtiteln. Insgesamt wurden 6.550 Unternehmen in Deutschland und 1.049 Unternehmen in &Ouml;sterreich ausgew&auml;hlt.

Qualitative Kriterien erforderten einen Score von mindestens 3,5 Sternen in relevanten kununu-Kategorien, eine Gehaltsposition &uuml;ber dem Durchschnitt f&uuml;r mindestens 50 Prozent der angegebenen Jobtitel und eine Weiterempfehlungsrate von mindestens 70 Prozent.

Johannes Litschauer, Gesch&auml;ftsf&uuml;hrer EBCONT freut sich &uuml;ber die Best&auml;tigung:&nbsp;,,Wir sind &uuml;beraus stolz darauf, dass wir im &quot;Top Gehaltszufriedenheit Ranking 2024&quot; von kununu und der S&uuml;ddeutschen Zeitung zu den besten zehn Unternehmen auf dem &ouml;sterreichischen Markt geh&ouml;ren. Diese Platzierung sehen wir als Best&auml;tigung unserer Ausrichtung als arbeitnehmerorientiertes Unternehmen, das besonderen Wert auf eine positive Arbeitsatmosph&auml;re und Fairness am Arbeitsplatz legt.&ldquo;

&nbsp;

Wie wurde die Gehaltszufriedenheit ermittelt?

Attraktive Arbeitgeber gesucht? 
Das Gehaltszufriedenheit-Ranking des deutschen SZ Instituts in Zusammenarbeit mit kununu bietet Orientierung, welche Firmen und Unternehmen die Arbeitnehmerinnen und Arbeitnehmer besonders überzeugen. kununu hat zusammen mit der Süddeutschen Zeitung (SZ) mit dem ,,Top Gehaltszufriedenheit 2024” Ranking die Top-Unternehmen Deutschlands und Österreichs ermittelt. 
Wir zählen zu den Top 10 Österreichs – darauf sind wir sehr stolz!!


Wo auch das Gehalt glücklich macht! 
EBCONT im Gehaltszufriedenheits-Ranking Top 10!


Artificial intelligence has become widely known in society since the emergence of ChatGPT at the latest and is on everyone&#39;s lips. From an IT consultant&rsquo;s point of view, a rising number of requests are mainly related to chatbot solutions, but we do try to show them the variety of different AI solutions. As a matter of fact, not every use case requires a generative approach. However, you could combine different strategies in order to get the best out of it.&nbsp;

A greater challenge arises, for example, from more complex structures in a service task that are stored in many different documents and requests. For example, I may have terms and conditions, specific instructions, questions about specifications or pricing, special requirements, all of which may be in different languages. In most conventional cases, you first have to spend a few hours screening the documents and summarizing the valuable and relevant findings. Accordingly, scaling is also limited, both in terms of time and content.

The &ldquo;traditional&rdquo; approach of a Machine-Learning-based solution would be the creation of a multi classifier in order to tag the requests accordingly. This already works well in many situations, but depends on a well-prepared and well-trained (and maybe even pre-labeled) training data set. The paradigm of Zero Shot Learning tries to break with that as prior training is not considered as mandatory anymore. However, when it comes to usable solutions for a business client, you will prefer a solution approach that is not too generic, but fitting to your specific needs.&nbsp;&nbsp;

For the implementation of enterprise solutions, LLM alone therefore only offers limited benefits, as previous examples will prove that have not been consistently integrated. Despite of recent studies showing that the bigger LLM could be more than just a stochastic parrot, leading to the situation in which the evidence is mounting that there is a basic understanding in these models (see &ldquo;Random Graph Theory&rdquo;), in terms of enterprise-ready solutions, you cannot rely on the randomness in connecting the dots. Hence, you will need a combination with semantic knowledge and hard facts.&nbsp;&nbsp;

Especially in the field of language processing with NLP and the now popular generative models, the methodology of so-called &quot;Retrieval Augmented Generation&quot; (RAG) promises to enrich the strengths of Large Language Models with fact-based knowledge and therefore deliver accurate results. This means a contextually relevant transfer of information. Despite existing for almost 5 years now, RAG technology (along with graphs) is one of the recent hot topics as it includes relevant sources that could be added to the response to a query. Hence, custom information will be integrated into a LLM without requiring another tedious retraining.

Another concern is to be found in privacy &amp; security, but also transparency. On the one hand, you would like to have a proper and clear evaluation of the quality of your output, but without revealing your company data. It is also necessary to clearly define what happens to your data and how it is processed and stored. This also requires a proper implementation of your RAG technology.

Diverse AI Solutions: Beyond Chatbots

There are a couple of platforms that might help you with solving all of these issues. Among the tools leveraging this technology, Squirro has emerged as a particularly notable application. Let&#39;s explore the multifaceted applications of RAG and take a closer look at how Squirro is making a difference.

Following out-of-the-box capabilities are provided by Squirro:

<ul>
	<li style="list-style-type:disc">Pre-Trained ML Models, ready to use</li>
	<li style="list-style-type:disc">Pre-Built Data Connectors for an easy data integration</li>
	<li style="list-style-type:disc">Pre-Built Chat and Analytics Dashboards</li>
	<li style="list-style-type:disc">An End-to-End Automation Workflow (also visualized)</li>
	<li style="list-style-type:disc">No-Code Configuration &amp; Integration</li>
	<li style="list-style-type:disc">Full Platform Observability</li>
	<li style="list-style-type:disc">Enterprise Security &amp; Access Control</li>
	<li style="list-style-type:disc">SaaS / Managed Service Options</li>
</ul>

From a technology perspective, Squirro is a preferred solution for RAG not only because of its ability to use company and external data at scale, but also because it respects enterprise grade security by using Access Control Lists, Encryption and ISO standards.

Generative AI generally plays its strength for an enhanced self-service as it offers users an accurate full-answer automation and enables AI conversations with website content. Responses are AI-formulated but with high quality, which is important in preventing escalation. Cost reduction is a vital part of the service automation process. All of these topics (and more) are covered by the Squirro platform with its easy-to-handle UI.&nbsp;

Once a project is created (either empty or by choosing from a template), one could select data sources, load and enrich data. The integration process is ensured by different connectors and with a few single clicks you will be able to create a proper connection. Possible data sources could be e.g. from web, social media, a Python SDK, but also data from Jira could be indexed. As Business Intelligence tools are included, too, we could use a bidirectional approach for using aggregated reporting data in a workflow as well.&nbsp;

Introducing Squirro - Out-of-the-Box Features for Enterprises

The AI studio offers training and publishing of machine learning models in terms of tagging, classification, entity extraction or trend detections.

Another mentioned advantage of Squirro is the convenient structure of creating automated pipelines, which minimizes &ldquo;forgetting&rdquo; important data preprocessing steps.

&nbsp;

As the output is created, results will also show relevant sources of how the response was processed. This overcomes LLM hallucination by providing the evidence. This built-in feature comes in very handy and is quickly adjustable.

One final feature I&rsquo;d really like to point out is the concept of communities used in Squirro. We could specify the interests of the users, whether they shall relate to clients, products, countries or a custom entity. Hence, the content will be personalized and optimized for each user.

So what are possible applications for this solution and who is to be targeted? The audience is broader than you think. For once, you could enhance your search engines not only based on keyword matching, but also on the context and nuance of the user&rsquo;s query. Content creation and summarization is a key element of these models. Let&rsquo;s also not forget Market Intelligence for businesses as vast amounts of data is available to provide insights and forecasts, making sense of discovering market trends and customer feedback.

But also Customer Support, Service Automation (think about support ticket systems and service desks!) are glad if an AI-based tool would help them classify their incoming work accordingly, as this lowers their effort of directing the question to the correspondent topic and person responsible. A detailed support by retrieving and synthesizing information is therefore possible on the fly, significantly improving user experience. As for SquirroGPT for Service Management, employees will have the ability to instantly find relevant information from a knowledge base using natural language.

Bigger companies with different departments would profit from an automated classification which reduces the resolution time (benchmarks of Squirro state over 95% accuracy in ticket attribution and reduction of resolution time by more than 30%).&nbsp; 
&nbsp;

<h3>Free Webinar Invitation: Explore Squirro for Service Insights 
 
To sum up, we are looking forward with confidence to the new challenges we could face with the help of tools like Squirro. In case of interest, I&rsquo;d be happy to also invite you to our webinar where I will show you the benefits of using Squirro for Service Insights. I&rsquo;d also like to recommend checking out the trial version to get a better overview.&nbsp; 
 
Event: Boost Your Service Management to New Heights with Generative AI 
19.03.2024, 09:00 CET - ONLINE 
Register now:&nbsp;<a href="https://www.eventbrite.at/e/free-webinar-boost-your-service-management-to-new-heights-with-genai-tickets-845617824677?aff=EBCONT">Click here</a> 
&nbsp;</h3>

<h3>Links:</h3>

<h3> 
<a href="https://www.ebcont.com/en/services/ai-big-data-and-search">AI, Big Data and Search</a></h3>

<h3><a href="https://squirro.com/service-insights">Automated Service Management With Generative AI</a></h3>

SquirroGPT: Next-Generation Service Management

In a world shaped by ChatGPT and artificial intelligence, businesses encounter complex challenges in handling service tasks. This article not only illustrates how companies can address these challenges but also introduces an innovative solution with RAG and SquirroGPT. Explore how Squirro not only masters complex structures in documents but also ensures data privacy and transparency.

How to automate your Service Management with RAG and SquirroGPT

Mit umfangreichen BSI C5 Typ II Testierung sowie umfangreichen Zertifizierungen nach ISO 27001, ISO 9001, ISAE 3402 Typ II, IDW PH 9.860.1 und PCI DSS erf&uuml;llt plusserver die h&ouml;chsten Anforderungen an Daten- und Betriebssicherheit. Die j&uuml;ngst besiegelte Partnerschaft mit EBCONT erm&ouml;glicht es Unternehmen, auf eine zuverl&auml;ssige europ&auml;ische und sichere Cloud-Infrastruktur zuzugreifen und bestehende Applikationen sicher migrieren und betreiben zu k&ouml;nnen.

Ein herausragendes Merkmal des Providers ist sein engagierter 24/7-Support, der in deutscher und englischer Sprache verf&uuml;gbar ist. Diese zus&auml;tzliche Unterst&uuml;tzung gew&auml;hrleistet, dass Kunden jederzeit den bestm&ouml;glichen Service erhalten. 
Die Kooperation zwischen plusserver und EBCONT ist ein bedeutender Schritt, um deutschen und europ&auml;ischen Unternehmen erstklassige und datensouver&auml;ne Cloud-L&ouml;sungen anzubieten, die h&ouml;chsten Sicherheitsstandards gerecht werden.

Korbinian Kreitner, Manager bei plusserver freut sich &uuml;ber die neue Kooperation mit EBCONT: ,,Wir freuen uns, mit EBCONT unser Partner-&Ouml;kosystem mit einem etablierten IT-Dienstleistungsunternehmen erweitern zu k&ouml;nnen. Die Kombination unserer Cloud-Plattformen und der Applikationsexpertise von EBCONT ist ein spannendes Gesamtpaket f&uuml;r die Digitalisierung aller Unternehmen. ,,Elastic on pluscloud&rdquo; ist zudem ein toller Startschuss f&uuml;r die Zusammenarbeit und schafft Vorfreude auf die n&auml;chsten gemeinsamen Projekte.&ldquo; 
Und Christopher Anderlik (Executive Vice President bei EBCONT) erg&auml;nzt: ,,plusserver und EBCONT vereint der individuelle Kundenwunsch nach zuverl&auml;ssigen, zertifizierten und skalierbaren Enterprise Cloud-L&ouml;sungen auf einer unabh&auml;ngigen, europ&auml;ischen und datensouver&auml;nen Cloud. Das macht uns zu perfekten Partnern und in Kombination die ideale L&ouml;sung f&uuml;r Kunden mit besonderen Anspr&uuml;chen.&quot;

Wir freuen uns, bekannt zu geben, dass plusserver, einer der führenden deutschen Cloud-Provider, nun Partner von EBCONT ist. plusserver betreibt vier eigene Rechenzentren in Deutschland und steht für europäische Souveränität und Datenunabhängigkeit.


Deutscher Cloud-Provider plusserver neuer Partner von EBCONT

Kommunikationsdesign

Styleguide

Prototyping

User Experience

Usability Design

Job Detail

Diversity, LGBTIQ, Diversity Charta, Diversität, Gleichberechtigung, Akzeptanz

Diversity Charta

Raum für Entfaltung und Entwicklung, Projektvielfalt oder flexible Zeiteinteilung sind nur einige unserer EBCONT Benefits.

Benefits

KI und Data Science Dienstleistungen

The Data Lakehouse

Search and Semantics

Big Data

Durch unsere strategischen Partnerschaften bieten wir ein ausgewähltes Portfolio von KI Produkten an.

KI Produkte

Advisory Services

Agile Coaching

Business Analyse

Data Science

Ein geordneter und geplanter Weg in die Digitalisierung ist für Ihr Unternehmen eine große Chance. Es können neue Märkte erschlossen oder neue Geschäftsmodelle entwickelt werden. Wir von EBCONT begleiten Sie auf diesem Weg in jeder Phase und liefern ein breit aufgestelltes Project Management nach Best Practice in allen Phasen des Projektes. Wir unterstützen aber auch in der Datenanalyse und zählen hier hausintern auf unsere Experten: Data Scientists und Data Engineers im täglichen Einsatz moderner Techniken.

Digitalisierung

Lifecycle Management

Analyse, Beratung

Analytics & AI

Digital Content Apps & E-Learning Apps

Future-ready CMS and authoring

Success Stories

Tailored and Combined Software

Publishing & Media

Das beste IT Projekt ist ohne Testplanung, Durchführung und Analyse nur halb so viel wert. Wir bei EBCONT bieten ein effizientes Testteam von bestens geschulten Mitarbeitern und Mitarbeiterinnen die mithelfen Kosten zu senken und Zeit zu sparen. Wir automatisieren in allen Teststufen und verwenden dabei etablierte Werkzeuge genauso wie Tools aus der Open-Source-Community. Unsere Tester erkennen auftretende Engpässe und machen auch vor dem Usertest nicht Halt, denn nicht nur der Test über die Funktionalität ist für unsere Applikationen entscheidend sondern auch die Validierung der Benutzbarkeit und die Ausrichtung auf die gewünschte Zielgruppe.

Last, Performance, Security

Softwaretest

Testautomatisierung

Testmanagement

Qualitätssicherung

Usability Testing

Cloud Computing

EBCONT begleitet Sie als Spezialist in Softwareentwicklung während Ihres Projekts, aber auch danach stellen wir im Zuge der Systemadministration Tools und Plattformen zur Wartung jeglicher benötigter IT-Infrastruktur und darauf aufsetzender Applikationen zur Verfügung. Dies in enger Zusammenarbeit mit verschiedensten Rechnungszentrums- und Cloudanbietern. Wertvolle Rechenressourcen sollten durch klassische Virtualisierung und die Nutzung von Containern sinnvoll genutzt werden.

Dev Ops

Managed Services

Networking & Sicherheit

Office IT Management

Infrastruktur, Betrieb

Database

Wir sind seit mehr als einem Jahrzehnt die Spezialisten, wenn es darum geht, moderner Software eine klare und sichere wie auch wartbare Struktur zu geben. 
Als unabhängige Berater bieten wir unseren Kunden sowohl die Entwicklung von Individualsoftware als auch Beratung zur Auswahl sowie der Integration von Standard-Softwarelösungen an.
Dabei schöpfen wir je nach Thema aus einem großen Pool an passenden Technologien und Frameworks. Wir unterstützen Sie bei der Lösungskonzeption und - architektur, Auswahl und Orchestration der geeigneten Tools und Technologien für die Umsetzung von Frontends, Middleware und Persistenz und sind auch in der Datenverwaltung und Analyse der erfahrene Pionier im Bereich Big Data und Data Analytics. Durch die Anwendung von bewährten technologischen Plattformen können wir auch die entsprechende Governance bei der Durchführung solcher Projekte sicherstellen. Wenn Sie an eine neue App denken, wir bieten die auf Ihre Anforderungen zugeschnittene Lösung.

Enterprise Applications

Mobile Apps

Entwicklung

Unser Ziel ist es Ihr Produkt qualitativ zu verbessern. Wir konzentrieren uns auf das Wesentliche und versuchen konsequent bis ins letzte Detail zu sein. Ästhetik, Attraktivität und positive Nutzungserlebnisse zu kreieren sind für uns in jedem Projekt wichtig – egal ob es sich um eine „Business CRUD-Anwendung“ oder „Mobile App“ handelt. Unsere Design-Entwicklungen sind ehrlich, unaufdringlich und langlebig. Wir sind technologisch Up-To-Date und suchen nach innovativen Lösungen, die Ihre Inhalte optisch ansprechend und gleichzeitig auch technologisch optimal umsetzen.

UX/UI, Design

EBCONT stellt ein Team von Expert:innen für Sie bereit, um KI und Big Data in Ihr Unternehmen zu bringen. Wir bauen auf langjährige Erfahrung über Branchen hinweg und bieten neben Services ein ausgewähltes Portfolio von Technologien an. Egal ob Datenanalyse, Erstellung von Machine Learning Modellen oder die Integration Ihrer Daten in einer Big Data Plattform um darauf neue Anwendungen aufzubauen - mit EBCONT haben Sie den richtigen Partner.

KI, Big Data und Suche

Diese Veranstaltung bietet öffentlichen IT-Entscheidern eine Plattform zum Austausch über die Anwendung von Elastic im öffentlichen Sektor und den neuesten Entwicklungen in der Technologie. Experten und Community-Mitglieder werden informative Vorträge halten, in denen Kollegen ihre Herausforderungen und Lösungsansätze teilen.

Behördentag 2023

EBCONT ist erstmalig bei der Shift Conference als Aussteller vertreten

Shift Conference

Wie jedes Jahr ist Frankfurt im Oktober die Hauptstadt der globalen Publishing Community. Auch 2023 sind wir - gemeinsam mit unserem Partner SiteFusion und dem Team unseres gemeinsamen USA Joint Ventures SiteFusion ProConsult - auf der Frankfurter Buchmesse vertreten.

Frankfurter Buchmesse

Logbuch Scrum Master

Kolleg:innen berichten

Hier geht’s zu unseren aktuellen Stellenangeboten.

Offene Jobs

Nachhaltigkeit beginnt bei den Mitarbeiter:innen, geht über achtsames Handeln bis hin zu E-Mobilität und IT.

Nachhaltigkeit

Many nationalities, a clear focus on women, LGBTIQ+ activities and freedom for development make us what we are as a team.

Diversity

Datenschutz

,,Kundenerfahrungen im Scheinwerferlicht” heißt es ab sofort bei EBCONT. Seit vielen Jahren arbeiten etwa Schrack Seconet oder KSV1870 partnerschaftlich mit unseren Teams zusammen. Das Geheimnis des Erfolges ist die Nachhaltigkeit und maßgeschneiderte Lösungen.

Deutscher Cloud-Provider plusserver neuer Partner von EBCONT

Ilse Merkinger-Boira

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