Data Engineering

Become Data-Driven or Fall Behind

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.

Defining and implementing a data strategy

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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