Data Strategy and Analytics
Businesses generate enormous volumes of data daily from a wide variety of sources. However, data alone does not create value – it is only its strategic use that makes the difference. We combine modern analytics methods with intelligent data strategies, enabling you to make well-informed decisions and sustainably grow your business. Make your data the driver of your business growth starting now.
Valuable insights through a smart data strategy
From digital transformation directly to a data-driven business. Valuable information often lies unused in complex systems, without delivering strategic benefit. With our expertise, we transform unstructured data into a clear, company-wide data strategy.
We ensure secure, data protection-compliant usage and establish measurable KPIs. This means you'll no longer make decisions based on gut feeling, but rather on well-founded analyses and predictions.
Why a clear data strategy is essential now
Many face major challenges: valuable information gets lost because clear structures, tools, and secure processes for evaluation are lacking.
Untapped data potential
""Our data is stored in various silos. We have absolutely no idea what treasures we actually possess and could make strategic use of.""
Missing Compliance & Security
""We have concerns regarding data protection. At present, the secure and compliant use of our data quality is not consistently guaranteed.""
Gut feelings
""We often lack clear insights and KPIs. Unfortunately, due to a lack of an overview, we still make important business decisions based on gut feeling.""
We are your Reliable partner, to leverage data as a strategic resource. We consolidate sources, integrate AI models, and create technology-agnostic solutions for maximum flexibility and measurable results.
Measurable KPIs and insights
Secure, compliance-compliant use
Technology-agnostic & hybrid architecture
Informed, data-driven decision-making
Our approach
Structured and results-oriented: Your path to becoming a data-driven organisation
Analysis & Goal Setting
Strategic planning
Architecture & Consolidation
Analytics and AI Integration
Usage & Optimisation
Maturity level assessment and identification of your goals
In the first phase, we determine your current data maturity level and identify all relevant data sources within the company. Together with your specialist departments, we define the crucial KPIs and set out the exact objectives for the project. This allows us to create a solid foundation for making precisely the data usable that will significantly drive your business success.
Developing your company-wide data strategy
Based on this analysis, we develop a bespoke, company-wide data strategy. This encompasses not only the technological approach, but also key aspects such as compliance and risk management. We draw up a clear roadmap setting out all the necessary steps, tools and processes to transform your unstructured data securely and efficiently into a valuable strategic resource.
Central data hosting and technological foundation
We build a secure and scalable architecture for your data landscape, whether cloud, on-premises or hybrid. We consolidate diverse sources such as ERP, CRM, IoT or social media in a central location. Through this bundling, we eliminate data silos and create a cleaned, reliable information source that serves as the foundation for all further analyses.
Intelligent analyses and predictive analytics
Now we'll make your data speak. We implement powerful reporting platforms and integrate advanced AI models. This enables predictive analytics, allowing you to accurately forecast future trends and developments. We adopt a technology-agnostic approach, using precisely the tools that best suit your existing systems and goals.
Self-service BI and continuous coaching
The best technology is only useful if it's also applied. We empower your teams to make data-driven decisions independently through self-service BI. With targeted coaching and mentoring, we support you in ongoing operations. This ensures that you continuously optimise your business processes and permanently generate new revenue opportunities through data-based insights.
LM IT Services AG in figures
Your reliable and high-performance partner
1994
Foundation and starting signal for over 30 years of success for LM IT Services AG
More than 1,500
Satisfied customers at home and abroad
More than 500,000
Project and training days completed for our satisfied customers
More than 80
Projects for the development of customised software
Over 75
Engagements in managed services project support
We are a multiple award-winning Microsoft Solutions Partner
Start your data project now: Contact us for an initial consultation
No time for emails?
Book your free 30-minute appointment directly in the calendar of our team of experts!
Ralf Minning
Chief Commercial Officer
The most important answers to your questions about our Data Strategy and Analytics solutions:
Eine Datenstrategie ist aus mehreren Gründen wichtig: * **Verbessert die Entscheidungsfindung:** Mit einer klaren Datenstrategie können Unternehmen sicherstellen, dass ihre Daten qualitativ hochwertig, zugänglich und relevant sind. Dies ermöglicht fundiertere und schnellere Entscheidungen auf allen Ebenen des Unternehmens. * **Ermöglicht besseres Geschäftswachstum:** Daten können zur Identifizierung von Trends, Kundenbedürfnissen und neuen Geschäftsmöglichkeiten genutzt werden. Eine Strategie stellt sicher, dass diese Daten effektiv extrahiert und zur Förderung des Wachstums verwendet werden. * **Steigert die Effizienz:** Eine gut definierte Datenstrategie hilft, redundante Datenspeicherung und -verwaltung zu vermeiden und stellt sicher, dass Daten dort verfügbar sind, wo und wann sie benötigt werden. Dies kann die Betriebsabläufe rationalisieren und Kosten senken. * **Verbessert Kundenerlebnisse:** Durch das Verständnis von Kundendaten können Unternehmen personalisierte Erlebnisse schaffen, die die Kundenzufriedenheit und -bindung verbessern. * **Gewährleistet Compliance und Sicherheit:** Datenstrategien beinhalten oft Richtlinien für Datensicherheit und Compliance mit Vorschriften wie der DSGVO. Dies schützt das Unternehmen vor Strafen und Aufsichtsrechtlichen Problemen. * **Fördert Innovation:** Durch die Nutzung von Daten können Unternehmen neue Produkte, Dienstleistungen und Geschäftsmodelle entwickeln und so wettbewerbsfähig bleiben. * **Schafft eine datengesteuerte Kultur:** Eine Datenstrategie hilft dabei, die Bedeutung von Daten im gesamten Unternehmen hervorzuheben und fördert eine Kultur, in der Daten zur Problemlösung und zur Wertschöpfung verwendet werden. * **Maximiert den ROI von Dateninvestitionen:** Unternehmen investieren oft erhebliche Ressourcen in Datentechnologien und -analysen. Eine Datenstrategie stellt sicher, dass diese Investitionen den maximalen Nutzen bringen.
A data strategy ensures that data is systematically used, protected, and transformed into valuable insights – rather than simply lying unused in complex systems. It is the foundation for sustainable business growth.
Which companies are benefiting from this?
From SMEs to large corporations across all sectors: anyone looking to make informed, data-driven decisions, drive innovation, and future-proof their business processes will benefit immensely from a clear analytics strategy.
Which data sources are used?
We connect a wide variety of sources, including ERP and CRM systems, production and IoT data, emails, social media, process data, measured values, and external data sources. This creates a holistic view of your company’s performance.
How does LM IT Services AG support us with the implementation?
We support you end-to-end: From the initial maturity assessment and strategy development, through data consolidation and AI integration, to the development of reporting platforms and continuous coaching of your teams.
What technologies are used?
We pursue a technology-agnostic approach for maximum flexibility. Depending on your requirements, we rely on Microsoft Cloud Services, SAP, Oracle, IBM as well as hybrid cloud or on-premises architectures.
Was ist Predictive Analytics?
Predictive analytics uses historical data and modern AI models to accurately forecast future events and trends. This allows you to act proactively, minimise risks, and identify new market opportunities for your business early on.
Is the solution compliant with data protection regulations?
Yes, absolute safety and compliance are our top priorities. We integrate comprehensive risk analyses and compliance consulting into our projects to guarantee that all legal requirements for handling your data are strictly adhered to.
Was bedeutet Self-Service BI?
Self-service business intelligence allows your specialist departments to create reports and dashboards independently, without having to involve the IT department for every query. We train your employees so that they can make data-driven decisions autonomously.