The starting point for an efficient digital transformation strategy is the application of new analytical and cognitive models capable of providing actionable intelligence in real time on the new data sources available to companies.
Incorporating data analysis from a variety of sources – such as social networks, sensors (data streaming), call centers, and more – into decision making has become a key factor in ensuring competitiveness and operational efficiency.
To reach the expected value from this new data, we need to know:
What are the important data for the business;
How to access and verify the sources;
How to apply analysis and models;
How to adapt processes according to information;
How to present results so we can view, explore, or connect them.
This new flow around data requires structural transformations. The weight of intuition in decision making will be replaced by the results of data analysis. With this, new opportunities will emerge from the information obtained and companies will be able to count on areas formed by data analysis specialists, who should be profoundly aware of the business and the possibilities of technology.
The results of data analysis act dynamically on the company’s operational processes and business. And when data is turned into assets, its governance is guaranteed.
Large organizations are challenged to keep a portfolio of complex applications under control, reducing costs and maximizing investments. Given the current scenario, where business continually changes and portfolios expand rapidly, reducing costs through labor discussions may not be the best option. In addition, IT needs to respond quickly, reducing OPEX and maximizing CAPEX as a way to create greater value and drive continuous evolution.
Our end-user support services focus on our customers’ technology environments. Our Service Desk acts as a liaison between end user and IT support groups. These include initial assistance, support for technical requirements, software defects, corrective and evolutionary maintenance, performance analysis and environment assessment, and any other requests involving specialized support.
REGULATORY COMPLIANCE - GENERAL DATA PROTECTION LAW
With the approval of LGPD – General Data Protection Law, 13.709 / 2018, which established rules for data protection in Brazil, and the full validity in Europe of GDPR – General Data Protection Regulation. extremely important, as is the Data Protection Officer. Our capability encompasses data flow mapping to identify potential risks in relation to new legislation, as well as other applicable legal provisions. Such practices should be integrated into the work routine of companies, including an action plan with legal, technical and organizational rules based on best practices for personal data protection.
Cloud computing is on-demand service, database storage, applications, and other IT resources over the internet. Modernize your infrastructure, migrate and manage business data with security, reliability, high availability and fully managed data services. Our capabilities include support in building the best strategy: assessment, application, roadmap, transformation, cloud migration, and management and optimization of all processes.
The principle of any data journey in an organization is the integration between different data sources, either to generate new sets of information for new systems or to aggregate different views to help analysis and decision making.
It is important to have a well-defined process supported by superior tools that continue to adapt to new technologies and data formats that come up almost daily.
Besides, it is not enough to have information loaded if the end user cannot extract value from it. Therefore, data quality must be monitored and certified throughout the process.
FULL DATA GOVERNANCE – METADATA MANAGEMENT + DATA PRIVACY + MASTER DATA MANAGEMENT
Organizations with data governance policy have a solid advantage and can leverage it to facilitate many aspects of data compliance and privacy.
With new privacy and compliance regulations around the world, many companies are analyzing and formulating their strategies. Knowing various data silos and the information contained therein becomes increasingly relevant, as well as identifying and managing private data, such as customers, taxpayers, students, employees, etc.
Large organizations need to be prepared to answer questions about where personal information is stored and how it spreads across different systems and areas of the organization.
Operational efficiency depends on how quickly a company can respond to a customer or to public service consumers.
The more companies become dependent on real-time results, the more they look for next-generation business intelligence (BI) deployments.
Unlike traditional BI platforms, which consisted of low speed and costly applications, the new offerings advance to insight-only platforms that can respond instantly to dynamic situations.
Through a state-of-the-art data analytics platform, it is possible to have access to a comprehensive modern BI solution, with an Artificial Intelligence-based analytics experience and a variety of capabilities that can create and deploy interactive dashboards and applications. guided by using a flexible development environment.
As the core business, data must be readily available in the cloud to increase its agility and ability to innovate. But easy accessibility must be protected to ensure maximum business value.
As companies embrace cloud services, taking advantage of the latest software solutions and development methodologies, the differences between them are narrowing. What really distinguishes one player from another is the quality of their data.
Whether you are focusing on providing faster information to your consumers or developing applications that will appeal to customers, the key to success is getting the most value out of your data. Notwithstanding, receiving large volumes of data requires a complex set of systems, products, and employees to manage and to understand its complexity.
Nowadays hundreds of technology companies, from software developers to semiconductor manufacturers, are looking for reliable and flexible platforms to simplify their data challenges and to enable their organizations to become precisely data driven.
We offer more than 20 training courses for your company's data solutions. We enhance the use of our partners' full potential tools.