BIG ANALYTICS
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:
Big Data & BI Consulting
With Big Data consulting, we make sure that the technological steps we take are aligned with your business objectives.
Big Data & Cloud
The creation and deployment of Sandbox allows effective and fast treatment of your universe of data.
visual analytics
We optimize the interpretation of data in real time and project a visualization of the universe of your company.
Integration
We treat, unify and integrate the different systems of the organization to facilitate a joint vision of the business, without technical and/or technological barriers.
Data Science
We analyze your data and your business to guide it towards a more efficient model, based on prediction algorithms and machine learning.
Data Driven Management
We carry out implementations and advice on your project to reduce risks, ensuring efficient transformation and data transfer.
Our methodology
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.
FULL STRATEGY
We carry out a 360º review
of the strategy and processes of
current business. we redefine
the objectives, KPI's and the
process roadmap.
OPERATING EFFICIENCY
We stabilize, reorder and
we improve the data
business transactions.
We optimize the Cloud, ERP,
CRM, BI BPM, etc.
COMPLETE DATA VALUE
Through analytical consulting
advanced, modeling
predictive and tools
attractive display,
we value the data
for decision making.
USEFUL EXTERNAL DATA
The data is completed with
external databases that
add value to the business
creating an advantage
competitive and improving
decision process.
SMART SOLIDITY
We help teams
managers to transform the
business culture and
consolidate the changes
digital transformation
FULL STRATEGY
We made a
360º review of the
strategy and processes
of current business.
We redefine the
objectives, KPI's
and the roadmap of
process.
OPERATING EFFICIENCY
We stabilize,
we rearrange and
we improve the data
transactions of the
business. we optimize
the Cloud, ERP, CRM,
BI BPM, etc.
COMPLETE DATA
VALUE
Through consulting
advanced analytics,
predictive modeling
and tools
attractive display,
we value the
data for taking
decisions.
USEFUL EXTERNAL
DATE
The data is completed
with databases
external companies that contribute
value to business
creating an advantage
competitive and improving
the decision process.
SMART SOLIDITY
We help the
management teams
to transform the
corporate culture
and consolidate the
changes of the
digital transformation
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?
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.
Relevant aspects in data analytics consulting
Analytics consulting encompasses different types of data analysis, including:
descriptive analysis
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.
Predictive analytics
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.
prescriptive analysis
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.
Analytics tools
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.
Data sources
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 Applications
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.
