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DATA ANALYTICS +

Business Intelligence

17 years transforming data into business insights. We help organizations recognize the most critical and valuable business metrics—revenue, profitability, and risk metrics—by extracting insights from data to make informed decisions, therefore identify opportunities to build innovative business strategies. We use technologies and strategic initiatives in Business Intelligence with advanced information visualizations for reporting, dashboards and data integration in real time.

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Cloud Computing

Consulting on IaaS, PaaS and SaaS solutions to improve technology, control risks, maximize your income and minimize costs, to help you focus on your business goals.

Data Analytics.

GLF works on three different areas of Data Analytics. Descriptive: Dashboards and Ad-hoc reports, Predictive (Forecasting and Time Series Analysis), and Prescriptive (Operations Research problems such as Optimization and Simulation).

Machine Learning solutions

ML solutions with tools, and software for AI development.

Business Intelligence

Information Visualization in real time. Maps, dashboards and reporting.
Featured services

Power Your Company with

Data Science

GLF main areas applying Data Science in Business.

  • Digital Marketing Strategy
  • Data Management Consulting
  • Data Cleasing
  • Reputation Management
  • Website Design
  • Cryptography (soon)
  • Protection of Digital Copyrights
  • Enterprise Risk Management Assessment
About Us

Multidisciplinary

Consulting Team

Our multidisciplinary consultants have more than 25 years of experience working on business strategy for data-driven companies.

Olga Gould. Instructor at Gustavson School of Business, Continuing Studies Department and the Faculty of Engineering and Computer Science at the University of Victoria

Andres Guzman. Partner at Schälli Law Firm

How IT Works

Data Science Solutions

For Your Company

Depending on the Data Science project we use a hybrid between CRISP-DM + Agile Scrum, which brings benefits such as fast stakeholder feedback and flexibility for change in the solution delivery requirements.

CRISP-DM is the Cross-industry standard process for data mining, an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model.
This life cycle project model consists of six phases with arrows indicating the most important and frequent dependencies between phases. The sequence of the phases is not strict. In fact, most projects move back and forth between phases as necessary. CRISP-DM guides data science projects in what to deliver and in what sequence, while Agile help us on how to deliver working product successfully in terms of both efficiently and stakeholder satisfaction.

01

Business Understanding

Assessing: Business Backgrounds. Business objectives. Business success criteria. Competitors. Industry insights. Stakeholders. Resources. Risks. Scope. Determine appropriate analysis method.

02

Data Understanding

Gathering data. Describing data. Exploring data. Verifying data quality and availability.

03

Data Preparation

Selecting data from multiple sources. Cleaning data. Constructing data. Integrating data. Formatting data.

04

Exploratory Analysis and Modeling

Selecting modeling techniques: Designing tests. Building model. Assessing model.

05

Validation

Evaluating results. Reviewing the process. Determining the next steps. If results are valid proceed to step 6. If results are invalid return to step 1 to 4.

06

Deployment and Visualization

Communicate results. Data Storytelling. Determine best method to present insights based on analysis and audience. Planning deployment. Planning monitoring and maintenance. Reporting final results. Reviewing final results. Documentation. Recommendations.

OUR SERVICES

What Kind of

Services We Provide

We produce financial, operational and market intelligence by querying data repositories and generating periodic reports. We devise methods for identifying data patterns and trends in available information sources.

We design advanced data visualizations with Business Intelligence tools or Decision Support Systems such as ad-hoc reports, dashboards and data integration with relational databases in real-time processing through frameworks such as Hadoop in Data Warehousing processing.

 

Data Storytelling

Big data consulting services

Data Governance

Social Media data analysis

Data Privacy Consulting and GDPR

Text and Web Analytics.

24

Clients

4

+

Countries

60

+

Projects Done

5

Research projects

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