Spotlight IDC: Application of softwareS of Integration and Data Intelligence (Part II)

1. Introduction

The digital age has consolidated data as one of the most valuable assets for companies . However, the exponential growth of information volume and the fragmentation of systems make it difficult for operational efficiency, security and decision making based on reliable data.

According to Global Datasphere IDC , the volume of data created and replicated globally should reach 291 ZB ( Zettabytes ) by 2027 , a significant increase over 120 ZB in 2023. The challenge? Without effective integration and governance, companies risk turning their data into an obstacle rather than a competitive advantage.

In the first article, we explored the main insights of Spotlight IDC , a study conducted by the International Data Corporation in partnership with Skyone , which revealed the strategic role of security and data intelligence for competitiveness in the digital scenario.

Now, in this second part, we will deepen the practical application of these solutions and understand how technologies such as Ipaas, Artificial Intelligence and Process Automation are boosting innovation and operational efficiency .

If your company seeks more integration, governance and security to turn data into competitive advantage, continue reading!

2. Ipaas: the basis for business efficiency and connectivity 

As business grows and digitizes their operations, the amount of systems and data within companies increases exponentially. However, without an efficient integration infrastructure, this expansion can result in fragmentation, loss of operational efficiency and risks to data governance.

The last Spotlight IDC highlights that many organizations still deal with manual processes, specific integrations and lack of connectivity between systems. This reality limits scalability and compromises competitiveness in the digital scenario.

This is where Ipaas ( Integration Platform as Service , in Portuguese, integration platform as a service), an innovative approach that eliminates data silos, automates integration flows and ensures a unified, safe and scalable digital environment .

Let's understand the challenges of fragmentation and how does Ipaas solve this technological gap ?

2.1. Challenge of fragmentation and the need for integration

Data fragmentation is a common problem in companies that have undergone digital transformations without a well -defined integration strategy . Spotlight IDC points out that this lack of connectivity between systems results in:

• Duplicity of information, leading to inconsistencies and rework ;
  
• Difficulty in automation, making processes more manual and slow ;
  
• Lack of visibility on critical operations, impairing decision making;
  
• compliance risks (in Portuguese, compliance), with data exposed to vulnerabilities ;
  
• Without a centralized solution, company growth becomes synonymous with complexity , making innovation and operational efficiency difficult.

Given this, Ipaas arises in response to this challenge, bringing a modular, flexible and secure architecture capable of connecting different data sources and systems in an automated and intelligent way.

2.2. Operational efficiency and data governance with Ipaas

Companies that adopt Ipaas not only integrate systems but gain a strategic differential : more efficiency, safety and governance. They start to ensure:

• Process automation : reduction of manual tasks and increased productivity;
  
• 360º Data view : real -time integration for more agile and accurate decisions;
  
• Governance and Compliance : Centralized management to meet regulations such as LGPD (General Data Protection Law);
  
• Improved security : access control, monitoring and protection against vulnerabilities.

With Ipaas, data integration is no longer an operational obstacle and becomes an accelerator of digital transformation . By connecting systems intelligently, companies eliminate information silos, automate processes, and ensure a safe and structured data flow, essential to grow with efficiency and predictability.

But the data revolution does not stop there. To turn gross information into competitive advantage, companies need to go beyond integration : this is where artificial intelligence (AI) and automation come into play.

Next, we will see how Ia and Machine Learning (in Portuguese, machine learning) are boosting data analysis, making operations smarter and optimized.

3. IA and Automation: The Future of Data Intelligence

As we have seen, the digitization of companies has brought a growing volume of data, but the real differential is not just in information collection. The real impact is the ability to analyze, interpret and turn this data into strategic decisions.

In this scenario, artificial intelligence (AI) and automation emerge as the main drivers of digital efficiency , allowing predictive analysis, optimized workflows and more agile answers to market challenges.

Spotlight IDC points out that, as businesses become more digital, the convergence between AI, automation and integration platforms becomes essential to improve data governance and optimize business operation . Machine Learning models and automated integration not only accelerate decision making, but also reduce risks and increase information security.
But how are AI and automation transforming data intelligence, improving systems connectivity and making companies more competitive? This is what we will see below.

3.1. How artificial intelligence and machine learning enhance data analysis

Artificial Intelligence (AI) and Machine Learning already protagonists in the data revolution. Unlike traditional analysis methods, these technologies allow systems to learn continuously, detect standards, and automate processes based on large volumes of information - all in real time .

Spotlight IDC points out that the companies that adopt and machine learning can:

• Reduce data analysis time by up to 70% , accelerating strategic decisions;
  
• Detect more accurate threats and anomalies , reducing operational and cyber risks;
  
• Automate data categorization and organization , optimizing internal processes and minimizing human failures.

In addition, AI not only enhances companies' analytical capacity, but also enables smarter predictions , making the operation more agile and prepared to deal with challenges in real time.

3.2. Intelligent automation in the context of data integration

Intelligent automation is not just about reducing manual work: it transforms the way data is managed . With the combination of Ipaas and IA, it is possible to create fully automated data flows, connecting applications, reducing rework and strengthening digital governance.

Spotlight IDC highlights that companies that integrate automation with data intelligence experience:

• Reduction of operating costs , eliminating inefficiencies and optimizing processes;

• Higher scalability , allowing the company to grow without technological bottlenecks;

• Less flaws and greater security as data processing becomes more reliable and auditable.

In practice, repetitive and complex tasks can be delegated to intelligent systems , while human teams focus on higher value -added strategic activities.

3.3. What are the practical benefits for companies?

AI adoption and integrated automation goes beyond operational efficiency: it directly impacts security, data governance and business competitiveness. Companies that implement these solutions can:

• Increase information security , detecting and preventing cyber threats automatically;
  
• Ensure regulatory compliance , with standardized audit and data protection processes;
  
• Optimize customer experience with faster and more personalized answers;

• Turning data into competitive advantage using insights for strategic decision making.

With organized, protected and intelligent data intelligently, companies operate more accurately, agility and predictability, strengthening their competitiveness in an increasingly dynamic digital scenario.
But for these innovations to be sustained in the long run, infrastructure needs to be prepared to keep up with this evolution . In the next topic, we will explore the role of the cloud and the challenges that still prevent companies from adopting this structure in Brazil.

4. Adoption of the cloud and its challenges in Brazil

Currently, cloud migration is a natural way to companies that seek efficiency, scalability and data management security. With the growing need for system integration and automation, cloud infrastructure has become a competitive differential, allowing business to operate more agile and resiliently.

Spotlight IDC points out that cloud adoption has been growing rapidly, driven by the search for operational flexibility and cost reduction . However, for many companies, the transition still represents a challenge, whether for structural, regulatory or strategic barriers.

In this section, we will explore the different cloud infrastructure models, the main challenges faced in Brazil and the practical benefits of this migration to companies.

4.1. On-premise , hybrid cloud and multi-cloud : Which one to choose?

By deciding on the infrastructure model, companies need to evaluate factors such as cost, safety and scalability. For this, Spotlight IDC points out three main approaches :

• On-premise : It is the local infrastructure, in which all servers and systems are physically kept within the company, ensuring full control over data. However, this approach requires high investments in hardware , maintenance and safety and may limit operational flexibility;
  
• Hybrid Cloud : Combines local or private or private cloud services, allowing greater flexibility, safety and regulatory compliance. Companies that need to keep sensitive data under their own control, but want the agility of the cloud, find in the hybrid model a strategic balance;
  
• Multi-cloud : Uses different cloud providers simultaneously, avoiding dependence on a single supplier and increasing the resilience and availability of systems. This model is ideal for companies that seek cost optimization and high level of redundancy.

The choice between these models depends on the company's digital maturity level and its operational and regulatory requirements . In Brazil, however, migration to the cloud still faces significant challenges; Understand why.

4.2. Main obstacles to cloud migration in Brazil

Even with its proven benefits, migration to the cloud in Brazil still finds challenges that can slow or prevent this transition . Check out the main factors that make this adoption difficult, pointed out by Spotlight IDC :

• Compliance and Regulation : LGPD requires rigid guidelines for information storage and processing, which makes many companies hesitate to move their data to cloud environments for fear of not being in accordance;

• Connectivity Infrastructure : Although large cities have large structures, many regions of Brazil still face connectivity limitations and network latency, which can compromise the performance of critical cloud applications;
  
• Migration and Adaptation Cost : Companies that have been operating for years in Legated Infrastructure may find difficulties in cloud migration due to the high initial cost and the effort needed to modernize systems and processes;
  
• Security and protection against cyber attacks : Concern about cloud data security is still a barrier to many organizations, which fear leaks or cyber attacks if infrastructure is not effectively managed.

To overcome these challenges, companies need solid planning, reliable technological partners and strategies that ensure safe and efficient migration.

4.3. Competitive advantages of cloud -based solutions

Companies that surpass these barriers and adopt cloud solutions gain competitive advantage, ensuring benefits such as:

• Instant Scalability : Ability to adjust resources according to demand, allowing the business to grow without the need for major investments in physical infrastructure;
  
• Greater efficiency and cost reduction : By eliminating local servers, companies reduce expenses with maintenance, energy and physical space, and increase the productivity of IT teams;
  
• Reinforced Safety : Cloud providers use advanced encryption technologies, access control and continuous monitoring, ensuring robust protection against digital threats;
  
• High availability and business continuity : cloud solutions offer resilient infrastructures, reducing risks of unavailability, operational failures and data loss;
  
• Access to emerging technologies : Cloud -based environments enable the faster adoption of automation solutions, artificial intelligence and predictive analysis, accelerating the digital transformation of companies.

Given this scenario, the adoption of the cloud is an essential strategic decision for business competitiveness.

But what will be the main trends for the future of corporate intelligence? That's what we'll see now.

5. The future of corporate intelligence: other insights from Spotlight IDC

Digital transformation evolves at a rapid pace, and data management has never been so strategic for companies competitiveness. The need to integrate, protect and structure information led to the exponential growth of the Intelligence & Integration (DII) , driven by technologies such as Ipaas, Artificial Intelligence and Automation.

Spotlight IDC points out that organizations that modernize their data infrastructure with these solutions are reducing inefficiencies, mitigating risks and accelerating innovation . But what are the main trends that will shape this scenario in the coming years? And what learning companies should consider to ensure a successful digital journey?
insights of the study below

5.1. IRD market growth and trends for the coming years

Intelligence & Integration Data Market (IDA) does not stop growing. Companies in all sectors seek solutions that allow us to turn data into decisions more agility and safety. This movement is mainly driven by data explosion, increasingly intelligent automation and the need to meet global information protection regulations.

Among the main drivers of this growth, there are changes that are already being applied in various sectors . For example, health companies use IA to accelerate diagnoses, while financial institutions apply machine learning to identify real -time fraud.

Spotlight IDC points out three main factors for this advance:

• Data volume explosion : Massive business digitization is generating unprecedented volumes of information, making it essential to adopt technologies that structure, organize and process this data strategically;
  
• Accelerated Automation and AI Adoption : Companies are increasingly automating processes and using Machine Learning for predictive analysis, optimization of workflows and improvement in decision making. AI use to integrate and interpret data will be a competitive differential in the coming years;

• Governance and compliance as a priority : With regulations such as LGPD, the need for tools that guarantee security, traceability and compliance in data use is increased;

• Multi-Cloud Environments : The growing adoption of the cloud is making integration between different platforms a critical factor. Companies are investing in hybrid and multi-cloud , ensuring scalability, flexibility and resilience.

As these trends consolidate, the challenges of digital transformation go beyond technology. Organizations need to ensure that their investments are aligned with business needs , adopting integration solutions that boost agility and competitiveness.

5.2. Main learnings on digital transformation

Spotlight IDC stresses that digital transformation is, above all, a change of mindset. It is not enough to adopt new technologies: you need to understand how data can boost business strategy . Companies that integrate data, automation and intelligently gain a sustainable differential.

Among the main learnings of the study are: 

• Data integration is a critical factor for scalability : companies that eliminate silos and connect their systems can operate with more predictability, safety and efficiency. Solutions such as Ipaas and DII play an essential role in this process;
  
• Data governance ensures efficiency and security : Information volume grows exponentially, but disorganized data and without governance becomes a risk, not a strategic asset. Integration and compliance tools are essential to ensure safety and quality of information;
  
• Automation and AI are essential to the future of corporate intelligence : companies that adopt artificial intelligence and Machine Learning optimize processes, increase productivity, and extract more accurate insights. AI integrated with data management will be one of the main differentials of companies in the coming years;
  
• The cloud has become indispensable for innovation : organizations that migrate to hybrid and multi-cloud can operate with more flexibility, safety and high availability, preparing for an increasingly dynamic digital future;
  
• Digital Transformation is not a punctual project, but a continuous process : companies that lead this journey are those that quickly adapt to new technologies, optimize their data infrastructure, and prioritize innovation as a strategic pillar.

Looking at the horizon, it is evident that the future of corporate intelligence goes through strategic decisions made from reliable and well -structured data . Companies that modernize their infrastructure and intelligently integrate their operations ahead in this race for innovation.
How about exploring these insights more detailedly and understanding how to prepare your business for a safe and scalable digital future? Spotlight IDC study now and have access to all strategies and trends that are shaping the market.

I want to download now the full study and stay on top of everything!

6. Skyone: Leading digital transformation with scalable solutions

Spotlight IDC study highlights an unavoidable truth : digital transformation not only depends on new systems, but on the ability to integrate, protect and use data intelligently. Companies that invest in technologies such as IPASS, Automation and Artificial Intelligence gain a solid foundation to grow efficiently and safety.

It is exactly in this context that we at Skyone come into action. Our purpose is to simplify access to innovative technologies and accelerate the modernization of companies. Through integrated solutions, we help our customers eliminate data silos, ensure regulatory compliance and climb operations sustainably.

With our solutions, we directly meet the challenges and trends presented by the study:  

• Skyone Data : Data integration and governance to unify systems, eliminate inconsistencies, and provide a 360º business view;

• Skyone Cloud : migration and cloud environment management, with high availability, safety and scalability;
  
• Skyone Security Zero Trust Security data protection , advanced encryption and continuous monitoring to mitigate cyber scratches.

By implementing these solutions, our customers can data analysis time automate operational processes , and ensure their decisions are based on accurate and reliable information .

We believe innovation is not a point of arrival, but a continuous journey. Therefore, we constantly work to develop solutions that anticipate market needs, combining cutting -edge technology with operational simplicity.

Do you believe your company is prepared to enter the future of data intelligence? Talk to our experts and find out how we can help you integrate, protect and optimize your data intelligently and safely.

7. Conclusion

Data intelligence is not just a technological need, but a strategic piece for the sustainable growth of companies. In the current scenario, where the amount of information grows every second, integrating, automating and protecting data is no longer a differential to becoming a key requirement.

Throughout this second article on the latest Spotlight IDC , we have seen that technologies such as Ipaas, Artificial Intelligence and Cloud are the foundation of efficient data management . These solutions not only connect systems and eliminate silos, but also allow predictive analysis, greater governance and more agile and safe decision making.

The truth is that digital transformation increasingly requires companies prepared to deal with the complexity of data intelligently . And organizations that now invest in modern structures will be better positioned to innovate and maintain their competitiveness.
Want to keep reading more about this subject? We suggest reading the article “Data Analysis: How to anticipate trends” on our Skyone Blog , content that explores how data analysis can predict market movements, offering a competitive advantage for your business.

Theron Morato

Data expert and chef in his spare time, Theron Morato brings a unique look at the universe of data, combining technology and gastronomy in irresistible metaphors. Author of Skyone's “Data Bites” column, it turns complex concepts into tasty insights, helping companies to extract the best from their data.