More info Mission
Onesis applies meticulous techniques and methodologies to define integrated solutions oriented towards decisional support:
- Balanced ScoreCard
- Fraud Risk
- Risk Management
- Credit Scoring, Analytical CRM, Marketing
- Management Control
- Service Level Management
- Human resources
Solution personalization and contextualization take place through an analytical procedure within which every step is an element of excellence:
- Requirement Analysis
- Available data recognition
- Gap analysis between requirements and data available
- Drawing and design of the data model
- Drawing and design of the decision-making process
- Drawing and design of datamarts
- Defining of the feeding rules
- Drawing and design of data delivery
OUR APPROACH
In an Analytical Business Intelligence project, every phase represents a critical element for success. Every projectual phase has to be approached with method, strictness and competence, from requirements definition to technology choice, from data base planning to decision-making project automation.
Our must:
- To use rigorous methods.
- Not to underestimate any projectual phases.
- Not to impose our experience.
- To provide our knoledge.
- To choose techonological solution proportionate to the real needs
- To offer flexible solutions over the time
Turning your ideas into actions? No, into results.
More than a slogan, it is the real task of an expert in decision-making processes.
The technolgy evolution supporting Business Intelligence has increased expectations in this field. However, this acceleration has found many companies unprepared under both their planning and organizational sides because automation of decision-making processes often means designing them for the first time.
So, nowadays our customers do not just ask for system integration solutions, but also for a real partnership in which the consultant has to mediate between expectations and achievable goals, leading the company and its internal organization towards complete, successful and cost-effective solutions.
Let us analyze your databases and we’ll tell you who you are.
The success of an Analytical Business Intelligence system implies semantic quality, consistency and completeness of both elementary and complex information.
Many elements, such as the priority given to operational processes, the frequent changes in corporate structure, (spin-off, merger, and so on), technological stratification, over-use of outsourcing, often obstruct business knowledge diffusion thus affecting negatively the data base planning and management.
Rigorous analysis and requalification of the information contained in the database of an Analytical Business Intelligence system, is one of the most important elements for a successful project.
From data to knowledge, the step is not a short one.
Planning an Analytical Business Intelligence database requires the conversion of company knowledge into an integrated, flexible and complete conceptual model.
So that decision-making processes can move from an organizational area to another one, constantly increasing the value of business knowledge and encouraging cooperation and subsidiarity.
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