LENS is a modelling and operation tool for complex n-dimensional datastructures and data,
like they can be found in datawarehouses, strategic planning or research. LENS enables you to
organize or reorganize your dispositive and big data in a model driven
and consistent way.
LENS opens the end to end view on the usage flow of your data, from
the sources throughout dimensions and levels to the organization of
users and their business capabilities. Besides the intuitive and clear
graphical representation of organization- and datastructures LENS
deals with the data content as well, in a plattform neutral way. All model
artefacts are stored in an open and easily transformable format, in
order to proliferate business value of the model throughout the technical
infrastructure. Interface datastructures may
be constraint by using declarative dataquality rules as well as more
highlevel business rules.
LENS encourages you to rethink your business data in
a multidimensional way as most of the management people do and take advantage
of clear and documented data structures.
LENS supports a „discrete
data package management“ philosophy. Out of several reasons it
makes sense to decouple the dispositive system from the source
systems. Project management, datadefintion and transformation get far
more transparent. Instead of dealing with the source systems
datamodels or dependecies, we advice to define a clear and consistent
data interface in „data packages“, each of which can be
located in the multiplicity of exchanged data clearly and without ambiguity. In this
approach source systems access their own datamodel themselfs and make
nessesary transformations to produce the defined packages. Often
misinterpretation and unnoticed changes lead to curious results in
dispositive data. Access knowhow stays close to the source systems,
which reduces company wide system dependecies.
Followling this approach, data attributes
defined in the LENS model are declared as to be ether assertive or querative, depending whether it is supposed to insert new data into the dataset (assertive) or needs to be check against existing data (querative).
Please find more information on LENS and it's functions in our showcase.