The mandate today is clear: become data-driven or risk falling behind. In every sector, organizations must harness the immense potential of data to drive decision-making and innovation, or they will fall behind more data driven competitors. For over a decade, most companies have invested substantial resources in digital transformation initiatives to achieve this goal.
Infrastructures have been migrated to the cloud, processes have become agile, and organizational structures, roles, and objectives have evolved. While data leaders once focused solely on data protection, they are now under pressure to extract tangible value from data.
To fully accomplish this mission, data leaders must recruit and empower their data engineering teams. Fortunately, Forti6 is here to address these needs by providing Data Engineers ready to help you tackle the challenges of tomorrow.
This strategic project supports businesses in their data transformation journey. It includes:
AUDIT
 An audit of data maturity
PORTFOLIO
Defining a prioritized portfolio of data projects
TOOLS
Choosing tools, resources, and the organizational model
ESTABLISHING
Establishing a data governance and quality strategy (processes, roles, responsibilities, rules, and standards)
Examples of data projects
Data projects involve the collection, management, analysis, and visualization of data to achieve specific objectives. Here are some examples of data projects we undertake:
Implementing a Data Warehouse
We centralize data from multiple and heterogeneous sources into a unified system. This allows businesses to leverage data for informed decision-making.
Data analysis
This project involves analyzing data to identify trends, patterns, and insights, thus facilitating decision-making.
Setting up a decision support system
We design, implement, and manage data management systems, ensuring efficient and secure access to crucial information.
Managing data repositories
We work on reference data and implement Master Data Management (MDM) systems for optimal management of critical data.
Data migration
This project involves moving data from one system to another, often as part of system upgrades or transformations.
Data cleansing and data quality management
We remove unnecessary or incorrect data and standardize data to improve its quality, ensuring reliable information.
Developing dashboards and decision reports
We create dashboards and reports to visualize and communicate data to stakeholders, facilitating understanding and data-driven action.
In summary, our data projects help businesses fully utilize their data, enhancing business processes and achieving strategic objectives.
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