Sometimes companies focus on having robust platforms for operations and they invest in modern information systems to store their data. At the end of the day they have an impressive amount of data without knowing how to exploit it properly.
You are not alone in the vast sea of data that exists today. We can help you find the most appropriate ways to take advantage from your operation's info and turn it into insights that will make you more competitive and more relevant to your customers.
Give your employees their time back so they can focus on the activities that allow your business to grow, and automate those activities that are necessary but don’t generate any value to the operation, through digital transformation.
The data your company generates, messy or not, is essential not only to obtain valuable information, but also to generate a competitive advantage. We help you put your data to work so you can better understand your customers and processes, as well as accelerate your decision-making process.
Understand, forecast and optimize your business performance through the implementation of data-driven analytical tools and capabilities.
We design and implement dashboards in your company that allow you to visualize data in a quick and easy way, in order to make relevant decisions for your business with real information.
Measure and evaluate performance to identify what works and what doesn't, allowing you to take corrective actions and become a high performance company.
Here are some of the capabilities that our expert team has in relation to Business Analytics.
We love data. But more often than not data is not ready for use. It must be inspected, cleaned, transformed, validated and just then used for decision making. Once ready, we can work from simple tasks such as sorting, summarizing, classifying and reporting; to complex analysis using statistics, data mining, descriptive and predictive modeling, visualization, among others.
Inside our Data processing and analysis toolbox, we can find for example:
Sorting, summarization, aggregation and classification
Exploratory data analysis
The first step to plan for the future is to understand the future. Using statistical tools, we can assess the future based on historical data and complement experienced-based information of your team. For example, you may want to know if an investment in capacity will be required in the future and allocate CAPEX for the next 10 years. Using statistics, we can forecast demand year by year, assess confidence intervals and provide recommendations.
Inside our Advanced Analytics toolbox, we can find for example:
Digital transformation goes beyond e-commerce and digital communication. Tools based on modern technology in the cloud allow us to be more efficient in the operation, as well as to generate data, information and knowledge while your team operates.
In this way, it is no longer necessary for information to be isolated between different people or systems in your company.
As partners of multiple services, we can help you grow digitally both outside and inside your organization.
We help you put your data to work so you can better understand your customers and processes, as well as accelerate your decision-making process.
You should consider data as one of your company's most valuable assets.
We understand data needs that may exist in your company, but also how to exploit them to learn to identify those factors of your business that are more relevant to the market -and vice versa-. This is essential for timely and proactive decision making.
The core business of most modern companies is to stay ahead of the competition by proactively using analytics and business intelligence.
Nowadays you don't need to be a technological giant to do this; computational and open source advances have made analytical tools more accessible.
In addition, our engineers will help you use the best and most modern data science tools for your benefit and that of your clients, so that you can eventually advance your analytical capabilities independently.
At the end of the day, for all data, artificial intelligence, business analytics and automation efforts to be of value, they must be presented in time, form and quality to decision makers and those in charge of executing the suggested actions.
For this, we work hand in hand with the main users of your business to manage the best ways to present and visualize the best learnings derived from these efforts.
Once you understand the internal and external factors that are most relevant to your business, you will need to have the tools to measure them correctly. This applies to both strategic and operational issues.
In addition, the indicator itself is sometimes misunderstood; benchmarks, history, deviations, perpetuity and others are often overlooked.
We can help you create, understand and manage your company's KPIs with these considerations, so you can focus on what gives the most value to your business.
Mathematical optimization was just ‘invented’ in the 1940’s but has come a long way since then. New techniques and larger computer processing capabilities have made it possible to implement optimization in virtually all industries and problems. In summary, if you can establish the characteristics of any process, then you can optimize it based on important variables and the restrictions under which it operates.
Inside our Optimization toolbox, we can find for example:
Heuristics and algorithm design
There are some cases in which data isn’t readily available or complementary data is required. Depending on each situation, sampling might be enough or an automated data acquisition system may be required. We will assess each individual case and define the type and complexity of sampling activities; as well as design any acquisition systems that could be needed to retrieve data from systems or processes.
Inside our Sampling and data acquisition toolbox, we can find for example:
Sample size estimation
Extract, transform and load process
Data acquisition systems