People and knowledge are a company’s most precious asset. Today, more than ever before, they form the strategic capital of every kind of public or private organization. In an increasingly competitive digital environment, there is often a tendency to underestimate the value of knowledge in a company... Managing data in a haphazard way leads to ineffective results, or even no result at all.

1. enterprise
knowledge
management
(ekm)

3. EKM: just what is it?
Enterprise Knowledge Management (EKM) is a fairly broad term in IT that refers to any solutions
or systems that deal with organizing data into structures that build knowledge within a business.
Another way to say this is that knowledge management solutions create business knowledge out
of existing assets.
Is a business process that formalizes the management and use of an enterprise’s intellectual as-
sets. KM promotes a collaborative and integrative approach to the creation, capture, organization,
access and use of information assets, including the tacit, uncaptured knowledge of people
Enterprise Knowledge Management is the process of creating, sharing, using and managing
the knowledge and information of an organisation. It refers to a multidisciplinary approach to
achieving organisational objectives by making the best use of knowledge.
…
Knowledge management efforts typically focus on organisational objectives such as improved
performance, competitive advantage, innovation, the sharing of lessons learned, integration
and continuous improvement of the organisation. These efforts overlap with organisational lear-
ning and may be distinguished from that by a greater focus on the management of knowledge as
a strategic asset and on encouraging the sharing of knowledge. KM is an enabler of organisatio-
nal learning

4. People and knowledge are
a company’s most precious asset.
Today, more than ever before,
they form the strategic capital
of every kind of public or private organization.
In an increasingly competitive digital environment,
there is often a tendency to underestimate
the value of knowledge in a company..
Managing data in a haphazard way leads
to ineffective results, or even no result at all.

5. Sharing
and correlating data means:
not having to reinvent things
that already exist
preventing
the knowledge capital loss
which occurs in every organization

6. nobody will ever know about them
or re-use them
If a company creates assets
without sharing them in-house:
If a company does not have
an automatic system for retrieving
and reusing information:
it has to perform assessments
and start afresh every time

7. speed up their time to market
optimize resources
enrich corporate know-how
Advanced management of data
and information allows companies to:

8. Our approach
We give value to existing data and knowledge
in order to improve its accessibility,
integration (internal and external) and reuse.
We promote a data culture in companies
so that they manage knowledge
on the basis of information semantics
regardless of their tools and purposes.
We offer technological solutions
based on industry standards,
non-proprietary open formats,
and open source software

9. Our consulting services
Enterprise Architecture
Finance and Insurance
IT Architecture & Governance
Budget and Cost Management
Service Management
Knowledge Management
Industry 4.0
Local area promotion and services to citizens
Imola Informatica provides EKM services in various fields

10. Imola Informatica offers companies EKM consulting services,
which are particularly focused on:
• Open source semantic data integration
• Reasoning, inference and semantic search technology
• Designing and developing domain ontologies (standard/custom)
• Defining company dictionaries, glossaries and vocabularies
• Defining and managing enterprise knowledge graphs (GraphDB/Triplestore)
• Designing and developing dashboards, reports and analytics
• “Graph as a service” data representation (GAAS)
• Consultation, search and data entry portals
• Open data for companies
• Big data architectures
• Machine learning and automatic classification
• Defining business guidelines for EKM
• Mentoring and consulting

11. the stages of our consulting service
Analysis
and Defini�on
of Goals
Seman�c
Data
Modelling
Informa�on
Gathering
Data
Enrichment
Data
Mapping
Publishing
& Consuming
> Information domain
representation
> Ad hoc
model definition
> Corporate glossary
> Use of existing
standardized models
> Information areas
involved
> Business areas
and stakeholders
> Specific goals
to achieve
> Inventory
of existing sources
> Format inventory
> Technological
aspects
> Semantic inference
> Automatic
classification
> Application of ML
> Statistical analysis
> Reconciling
existing data
with the model
> Data quality check
> Definition of rules
> Data integration
> Search and browsing
front-ends
> Reporting
> Editing
> Analytics
> Enterprise
Knowledge Graph
data access
end points

12. Our people
Imola Informatica employs multidisciplinary teams
and experts specializing in EKM activities::
• Analysts, developers and project managers
• Domain consultants and experts
(finance, insurance, KM, EA and industry)
• Data scientist
• Big data architecture experts
• Enterprise architecture experts
• Semantic technology experts
• Ontology engineers

13. some examples of EKM solutions
classifications and taxonomic trees dependency graphs and relationships
text classification and keyword extraction
cost distributions by areas
filtered and geolocated searches
dashboards e analytics

14. EKM, our added value
Imola Informatica has created a knowledge management
model for its own internal needs.
It is an integrated solution capable of managing
the knowledge produced with corporate tools.
We have built an analytics and data quality system
focused on the skills of the staff in our organization.
It allows us to profile
their professional expertise automatically,
with in-house access to the resulting knowledge graph.

15. EKM, our added value
To manage our corporate knowledge, we have:
Defined and implemented an ontological model
Integrated tools for centralized searches
Designed a consultation portal, and semantic search
and assisted data entry technology
Performed inference
and reasoning on in-house skills for project allocation
Created an end point for access to semantic data
and generated an enterprise knowledge graph

16. Ourexperience
Formal model of architectural frameworks for banks
• Definition of an ontological meta model
• Definition of process, application, information
and infrastructure classifications
• Support for model adoption in banks

17. Ourexperience
Business and IT information gathering and integration system
for enterprise architecture management in banks and insurance
groups
• Data gathering
• Modelling
• Integration and inference
• Publishing and reporting
• Dashboard

18. Inventory and classification of security measures
• Model definition
• Classification and definition of security information
Ourexperience

19. Ourexperience
Budget and cost distribution control and management system
for the consortium of banks
• Model
• Import and integration
• Classification
• Reporting
• Dashboard

20. IT system architectural information gathering system
and application log monitoring with machine learning algorithms
• Model
• Big data architecture
• Reporting and browsing graphs
• Log monitoring management and critical pattern recognition
for notification
Ourexperience

21. Ourexperience
Document, project and personnel management system on remote
repositories. Mapping of skills and relationships with projects.
• Model
• KM and search portal
• Inference system for semantic data enrichment

22. Banking business service registry and correlation
with processes, IT assets and organizational aspects
• Model
• Model browsing and data entry
• Integration of various tools including the company LDAP
for the organization chart
Ourexperience

23. Smart city platform to integrate data regarding services, places
and city events on a semantic network.
• Model
• Georeferenced search system
• Open data integration
• Automatic classification of events and activities
• Automatic user profiling and promotion
of customized information services
Ourexperience

24. We have been chosen by

26. www.twitter.com/imolinfo
www.facebook.com/imolinfo
www.linkedin.com/company/imola-informatica
Imola Informatica S.P.A. · via Selice 66/a · Imola (BO)
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