Our Technology

Previous Approaches

  • Targeted research and product development require understanding the available data.
  • The immense volume of data must be processed to become accessible for immediate decisions.
  • Despite high investments of time and money, such analyses are often incomplete and inaccurate.

Data Quantity

Bad data quantity visualized with puzzle pieces
Unstructured information
leads to inclusion of irrelevant data
red arrow pointing to the right

Quality of Analyses

bad data quality visualized with puzzle pieces
Too many or irrelevant
connections; not all perspectives
considered
red arrow pointing to the right
  • Missing details
  • No overview
  • Poor decisions

Data Quantity

Bad data quantity visualized with puzzle pieces
Unstructured information leads to inclusion of irrelevant data
red arrow pointing down

Quality of Analyses

good data quantity visualized with puzzle pieces
Too many or irrelevant connections; not all perspectives considered
red arrow pointing down
  • Missing details
  • No overview
  • Poor decisions

L&C Approach

  • Lampe & Company identifies all relevant data points from the entire flood of information and processes them into an easily understandable format.
  • This way, Lampe & Company provides the best analysis quality available on the market, enabling better data-based decisions.

Data Quantity

good data quantity visualized with puzzle pieces
Standardization and categorization of all
information – only relevant data points
considered
green arrow pointing to the right

Quality of Analyses

Lampe & Company approach visualized with puzzle pieces
Compilation of all relationships –
only those with enough scientific
evidence considered
green arrow pointing to the right
  • Relevant details
  • only Transparent overview
  • Clear decision basis

Data Quantity

good data quantity visualized with puzzle pieces
Standardization and categorization of all information – only relevant data points considered
green arrow pointing down

Quality of Analyses

Compilation of all relationships – only those with enough scientific evidence considered
green arrow pointing down
  • Relevant details
  • only Transparent overview
  • Clear decision basis

The L-Matrix

The L-Matrix Method addresses key challenges met by pharmaceutical, medical technology, biotech and life science companies in the Research and Development (R&D) process, by enabling evidence-based decision making to:

  • Minimize the risk of failing compounds and devices
  • Obtain the broadest possible product label
  • Focus on product differentiation to identify the most adequate niche
  • Assess the product pipeline and product portfolio
  • Optimize study designs

The L-Matrix Method ultimately increases the success of your R&D process: by overriding intrinsic weaknesses and identifying hidden strengths, thus granting your company competitive intelligence founded on differential assessment of competitor or own compounds/products.

L-Matrix graphic

Your Benefits

Selected by R&D professionals and digitally processed with human intellect and understanding.

  • Best possible data quality (SOP-driven & quality-controlled data selection and evaluation)

  • Complete data set, only relevant data (highest possible sensitivity and specificity of search process)

  • Traceability of each data point

  • Intuitive understanding of all aspects

  • 360° view (all perspectives)

  • Ready to use for decisions (no additional efforts for further data search/compilation needed)