LM Analytics
From digital transformation to Data-Driven business
Analytics by LM IT
Every company generates large amounts of data. As digitalization progresses, it becomes more and more. This can be business emails, networked company vehicles, order entries in online stores, keyword scanning in social media groups, the collection of location-based data, records of individual process steps, video recordings from surveillance cameras, measured values from machines and many more data sources.
Big Data is not just for big technology companies. In today’s data-driven economy, small and medium-sized enterprises (SMEs) cannot “afford” to ignore data as a resource, regardless of their stage of development or industry.
How do you handle data?
Would you like to offer new service models? Tailor your sales even more precisely to your customers? Further increase your business success? Then you should answer one crucial question in advance: How do you handle data in your company?
Value of data
Estimate for 2025: the data economy is worth 829 billion euros in the EU.
Business model
14% of companies in Germany are classified as advanced in the “Data Economy”
Use of data
43% of companies use data for forecasting and data analytics.
What about the future?
88% of companies expect their internal processes to be data-driven in five years.
How do you handle data?
Would you like to offer new service models? Tailor your sales even more precisely to your customers? Further increase your business success? Then you should answer one crucial question in advance: How do you handle data in your company?
Value of data
Estimate for 2025: the data economy is worth 829 billion euros in the EU.
Business model
Use of data
What about the future?
Digital raw material rests in your databases, from which you can draw conclusions for your corporate strategy and develop innovative products and services. We help you to successfully enter the data-driven age.
Business Intelligence & Analytics
Artificial Intelligence
Do you have any questions?
Book an appointment without obligation right now. In a personal conversation, I can answer your open questions around the topics of data strategy, business intelligence and analytics.