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Submitted URL: https://www.apps.fersalab.com/
Effective URL: https://apps.fersalab.com/
Submission: On June 10 via api from US — Scanned from DE

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apps.fersalab.com

User




UNLOCKING THE POWER OF COLLABORATION DEMAND PLANNING AND DATA-DRIVEN INSIGHTS,
ENTERPRISE DEMAND COLLABORATION OFFERS A NEW STANDARD IN DATA ANALYSIS.


Learn More



ELEVATE YOUR BUSINESS WITH DATA-DRIVEN INSIGHTS AND FOSTER COLLABORATION.




READY TO UNLOCK THE POWER OF COLLABORATION DEMAND PLANNING?


CLOUD-BASED ANALYTICAL MODERNIZATION

Fostering a data-driven culture within the organization by promoting data
literacy, encouraging collaboration between business and analytics teams, and
incentivizing data-driven decision-making at all levels. Cultural transformation
is essential for realizing the full potential of analytical modernization
initiatives and driving business value.




SALES FORECASTER

Sales forecasting is like a compass that guides a business through unpredictable
markets. It offers foresight and paves the way for sustained growth. It may be a
critical differentiator between businesses that stay ahead of the curve and
those that fall behind





ROLLING FORECAST

A rolling forecast is a report that uses historical data to predict future
numbers and allow organizations to project future results for budgets, expenses,
and other financial data based on their past results instead of managing the
business based on a static budget




ANALYTICS & REPORTING

 * Gain insights into customer behavior, market trends, and operational
   performance.

 * Identify opportunities for improvement, cost savings, or revenue generation.

 * Monitor key performance indicators (KPIs) and track progress towards goals.

 * Make data-driven decisions that are grounded in evidence and analysis.




UNPRECEDENTED SPEED. IMPECCABLE RELIABILITY.

 1. Immediate Insights: Real-time analysis provides instant visibility into data
    streams, allowing organizations to detect patterns, trends, and anomalies as
    they happen.

 2. Timely Decision-Making: By analyzing data in real-time, organizations can
    make quick, informed decisions based on the most up-to-date information
    available.

 3. Continuous Monitoring: Real-time analysis enables continuous monitoring of
    critical metrics, such as website traffic, sensor readings, or financial
    transactions, ensuring timely intervention when necessary.

 4. Predictive Capabilities: Some real-time analysis techniques incorporate
    predictive models to anticipate future events or outcomes based on current
    data trends.

 5. Stream Processing: Real-time analysis often involves stream processing
    technologies that can handle high volumes of data in motion, such as Apache
    Kafka, Apache Flink, or Apache Spark Streaming.

 6. Scalability and Performance: Real-time analysis systems are designed to
    scale horizontally to accommodate growing data volumes and support
    low-latency processing requirements.


WE ARE PROUD OF OUR NUMBERS

4

Companies



18

Subsidiaries



600K

Products



200M

Revenue



20K

Customers




APPS.FERSALAB.COM

Fersa Group - Headquarters

+34 976 333 850

Calle Bari, 37
Parque Empresarial PLAZA
50197 Zaragoza (España)




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