Capabilities
Data Consultancy
Data Strategy
Driving companies into data-driven organizations
Developing a data strategy based on business needs is critical to ensure the successful transformation of companies to data-driven organizations, where decision making is proactive rather than reactive.
Business: identification of business objectives, design and development of business cases and definition of new products / services around the data.
Organization: transformation plan for the organization to integrate into its culture the value of data as a corporate asset and help evolve the organizational model and its internal capabilities for a massive use of data.
Technology: design of a new architecture and the necessary technological components to support this new data orientation, making it possible to manage different sources of information, both internal and external, and guaranteeing the quality and integrity of data throughout the organization.
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- Use Cases & New Business Models Discovery
- Cultural Transformation
- Technological Roadmap
BI & Smart Data Visualization
We innovate in the way we analyze information to support decision making
We understand dashboards and executive reporting as an essential tool for senior management. They must be oriented to decision-making. They reflect the reality of business, engaging and motivating its lecture, also providing the largest number of ideas in the shortest time and ensuring that the messages received by the reader match the reality of the reported business.
Berocam’s Graphical Excellence in reporting and executive dashboards consists in a well-designed presentation, with the least amount of “ink”, of key business indicators, essential project data or the business situation.
We transform traditional, static, inconsistent and incoherent reports into straight forward solutions using digital Business Intelligence tools which provide reliable information as they are a unique “source of truth”.
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- Self Service BI
- Smart Dashboards (Advanced Visual Analytics)
- Corporate Reporting
- IoT, Alerts & Monitoring
Advanced Analytics
We get the most value out of your data for the evolution of your business
We custom design any use case and extract business value from previously unrelated data. However, this process is not trivial and, in order to reach relevant conclusions, it is necessary to follow a complex process of Data Discovery, Machine Learning and advanced modeling.
We integrate these models into production systems or design exclusive ways of visualizing their results so that they can be actionable by the business user.
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- Data Discovery
- Predictive and prescriptive analytics
- Data-driven automation
- IoT Advanced Analytics
Data Management
Data Landscape
Complete data lifecycle management
Data management is a discipline in constant evolution, so knowing and working with the entire ecosystem of tools and solutions, as well as being aware of the latest technologies that emerge every day is vital.
At berocam we work with these solutions, adapting to the client's needs and offering an expert vision of the necessary technological transformation, from core Data Engineering services to the most advanced Big Data and IoT environments.
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Data Management Services
- Master Data Management
- Data Integration
- Data Quality
- Migration to Cloud environments Advanced Data Engineering
- Big Data Processes
- Data Preparation
- IoT & Realtime Data Data Architecture
- Data Warehouse
- Data Lake
- IoT Data Platform
Governance, Risk & Compliance
We establish processes and methodologies for secure and reliable data management
The massive analysis of information within the organization and its openness, even to third parties, can often run up against problems of reliability, doubts about its meaning or origin and legal restrictions when it comes to monetizing it.
Therefore, the discipline of data governance is particularly important, focusing on the definition of the organizational model, resolution and prevention of technological risks, reduction of operational risks, fraud prevention and compliance with rules, policies and procedures.
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Data Governance Program
- Organizational model
- Policies & Procedures
- Data Entities Service Levels
- Datacycle Control Model Data Inventory
- Data catalog
- Metadata management
- Documentation and content management
Analytics Leadership
Optimizing the efficiency of corporate analytics management
Unorganized adoption of analytics at all levels within the organization can lead to duplication of resources, information silos, loss of governance and lack of results.
We lead the efficient management of the corporate analytical area, from the centralized management of all initiatives related to data processing and exploitation, to the creation of Centers of Excellence, as common workspaces where methodologies, models and resources are shared to achieve the highest efficiency in the implementation of any analytical solution.
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- Analytics as a Service
- Data Office & Analytics PMO
- Advanced Analytics Program
- Analytics Center of Excellence
