Data analytics consulting
What is data analytics consulting?
Take advantage of the data value chain, from obtaining to the result. Discover your universe of data and the power to transform it into smart technology. Through a analytical consulting, specialized in extensive data analysis, guarantees the quality of the technological development of your project.
Entrust this to professionals with experience in data processing to increase efficiency and to be able to efficiently take advantage of all the possibilities that this information offers you to facilitate daily work, minimizing errors and allowing human efforts to be dedicated to other actions.
The data can support the department that has a specific need, from company management decision making to customer loyalty thanks to the information we collect from them throughout their life cycle.
You can customize specific actions, improve strategies and even improve the management of market demand, anticipating the actions that your clients and future clients may have thanks to the power of analytical consulting.
Solutions to get your business off the ground
Knowing the information in detail and knowing what to do with it is key to solving many of the common problems in the business world. Some of the problems that you can solve thanks to data analytics consulting are the following:
It is not only important to know what we do, but knowing how we do it is key to understanding our way of working and our professionalism with each of the challenges that we solve digitally thanks to technology, knowledge and the people who are part of our equipment.
we rearrange and
we improve the data
transactions of the
business. we optimize
the Cloud, ERP, CRM,
BI BPM, etc.
Projects that guarantee our success
Discover which sectors we have helped promote
Digitize, automate and direct simple and complex processes to reduce costs in the industry sector.
Meet your objectives hand in hand with technology, whether you are a bank, an insurance company or a finance company.
Get the basic functions of your company with a technology partner to automate your business processes.
Chase them new horizons for the real estate and construction sector under a framework of technological and digital support.
Build customized solutions thanks to intelligent platforms to materialize your ideas.
Manage and control sales channels, logistics, products and much more to successfully reach the end customer.
Do you want to know more about data analytics consulting?
Analytical consulting, also known as data analytics, refers to the process of discovering, interpreting, and communicating meaningful patterns and insights from data sets. Analytical consulting provides a systematic way of examining data to obtain valuable information that can be used in making decisions and improving results in various areas.
Analytics consulting encompasses different types of data analysis, including:
It consists of summarizing and describing the data to understand its composition and characteristics. This involves the use of statistical measures and visualization techniques to summarize and present the data in a meaningful way.
It is used to make predictions or estimates about future events or behavior. It relies on statistical models and machine learning algorithms to identify patterns and trends in historical data and
apply them to new scenarios.
It focuses on providing optimal recommendations and actions to address problems or maximize results. Combine historical data, predictive models, and optimization algorithms to make informed decisions.
There are various tools and technologies available to perform data analysis, ranging from spreadsheets and relational databases to more advanced software solutions. Some of the popular tools include Excel, SQL, Python, R, Tableau, Power BI, and Apache Hadoop.
Analytics consulting can be used on a wide variety of data sources, such as transactional data, social media data, event logs, sensor data, mobile app data, and more. This data can be structured (as tables in
a database) or unstructured (such as free text, images or videos).
Data Analysis Life Cycle
Data analysis follows a life cycle that includes several stages, such as problem definition, data collection and preparation, selection of analysis techniques, model implementation, interpretation of data, etc.
results and communication of findings.
Analytics has applications in a wide range of industries and functional areas. Some examples include business analytics, market analysis, risk management, healthcare, logistics, digital marketing, cyber security, scientific research, and more. Analytics helps optimize processes, make data-based decisions, identify opportunities for improvement, and anticipate trends and changes.
Challenges and considerations
Analytics also presents challenges, such as data quality, privacy and security, the correct interpretation of the results and the adoption of recommendations in decision making. It is essential to have professionals trained in analytics and to follow good practices in data management and in the application of analytical techniques.