For your team
Migrate to Skyone
Featured products
Ecosystem and Collaboration
Spotlight IDC: Application of data integration and intelligence software (Part II)
The digital age has solidified data as one of the most valuable assets for companies . However, the exponential growth in the volume of information and the fragmentation of systems hinder operational efficiency, security, and decision-making based on reliable data.
According to the IDC Global DataSphere , the volume of data created and replicated globally is expected to reach 291 ZB ( zettabytes ) by 2027 , a significant increase from 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 key insights from the IDC Spotlight , a study conducted by the International Data Corporation in partnership with Skyone , which revealed the strategic role of data security and intelligence for competitiveness in the digital landscape.
Now, in this second part, we will delve deeper into the practical application of these solutions and understand how technologies such as IPaaS, artificial intelligence, and process automation are driving innovation and operational efficiency .
If your company is looking for greater integration, governance, and security to transform data into a competitive advantage, keep reading!
As businesses grow and digitize 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 latest IDC Spotlight highlights that many organizations still grapple with manual processes, piecemeal integrations, and a lack of connectivity between systems. This reality limits scalability and compromises competitiveness in the digital landscape.
This is where IPaaS ( Integration Platform as a Service) comes in, an innovative approach that eliminates data silos, automates integration flows, and ensures a unified, secure, and scalable digital environment .
Let's understand the challenges of fragmentation and how IPaaS addresses this technological gap .
2.1. The 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 . The IDC Spotlight report indicates that this lack of connectivity between systems results in:
- Duplicate information, leading to inconsistencies and rework ;
- Difficulty in automation, making processes more manual and slower ;
- Lack of visibility into critical operations, hindering decision-making;
- compliance risks , with data exposed to vulnerabilities ;
- Without a centralized solution, company growth becomes synonymous with complexity , hindering innovation and operational efficiency.
Given this, IPaaS emerges as a response to this challenge, offering 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 advantage : greater efficiency, security, and governance. They are able to guarantee:
- Process automation : reducing manual tasks and increasing productivity;
- 360º view of the data : real-time integration for faster and more accurate decisions;
- Governance and compliance : centralized management to meet regulations such as LGPD (General Data Protection Law);
- Enhanced security : access control, monitoring, and protection against vulnerabilities.
With IPaaS, data integration ceases to be an operational obstacle and becomes an accelerator of digital transformation . By intelligently connecting systems, companies eliminate information silos, automate processes, and ensure a secure and structured data flow, essential for efficient and predictable growth.
But the data revolution doesn't stop there. To transform raw information into a competitive advantage, companies need to go beyond integration : this is where artificial intelligence (AI) and automation come into play.
Next, we'll see how AI and machine learning are driving data analysis, making operations smarter and more optimized.
As we have seen, the digitalization of companies has brought an increasing volume of data, but the real differentiator lies not only in the collection of information. The real impact is in the ability to analyze, interpret, and transform this data into strategic decisions.
In this scenario, artificial intelligence (AI) and automation emerge as the main drivers of digital efficiency , enabling predictive analytics, optimized workflows, and more agile responses to market challenges.
The IDC Spotlight highlights that, as businesses become more digital, the convergence of AI, automation, and integration platforms becomes essential for improving data governance and optimizing business operations 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 connectivity between systems, and making companies more competitive? That's what we'll explore next.
3.1. How artificial intelligence and machine learning enhance data analysis
Artificial intelligence (AI) and machine learning already leading the data revolution. Unlike traditional analysis methods, these technologies allow systems to learn continuously, detect patterns, and automate processes based on large volumes of information— all in real time .
The IDC Spotlight report indicates that companies that adopt AI and machine learning are able to:
- Reduce data analysis time by up to 70% , accelerating strategic decisions;
- Detect threats and anomalies with greater accuracy , reducing operational and cyber risks;
- Automating data categorization and organization optimizes internal processes, minimizing human error.
Furthermore, AI not only enhances companies' analytical capabilities but also enables smarter predictions , making operations more agile and prepared to handle real-time challenges.
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 . By combining IPaaS and AI, it's possible to create fully automated data flows, connecting applications, reducing rework, and strengthening digital governance.
The IDC Spotlight highlights that companies integrating automation with data intelligence experience:
- Reducing operational costs by eliminating inefficiencies and optimizing processes;
- Greater scalability , allowing the company to grow without technological bottlenecks;
- Fewer errors 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 strategic activities with higher added value.
3.3. What are the practical benefits for companies?
The adoption of AI and integrated automation goes beyond operational efficiency: it directly impacts security, data governance, and business competitiveness. Companies that implement these solutions are able to:
- To increase information security by detecting and preventing cyber threats in an automated way;
- To ensure regulatory compliance , with standardized data audit and protection processes;
- Optimize the customer experience with faster and more personalized responses;
- Transforming data into a competitive advantage , using insights for strategic decision-making.
With data organized, protected, and intelligently integrated, companies can operate with greater precision, agility, and predictability, strengthening their competitiveness in an increasingly dynamic digital landscape.
But for these innovations to be sustainable in the long term, the infrastructure needs to be prepared to keep pace with this evolution . In the next section, we will explore the role of the cloud and the challenges that still prevent companies from adopting this structure in Brazil.
Currently, migrating to the cloud is a natural path for companies seeking efficiency, scalability, and security in data management. With the growing need for systems integration and automation, cloud infrastructure has become a competitive differentiator, allowing businesses to operate in a more agile and resilient manner.
The IDC Spotlight highlights that cloud adoption is growing rapidly, driven by the search for operational flexibility and cost reduction . However, for many companies, the transition still represents a challenge, whether due to 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 for companies.
4.1. On-premise , hybrid cloud, and multi-cloud : which to choose?
When deciding on an infrastructure model, companies need to evaluate factors such as cost, security, and scalability. To do this, the IDC Spotlight points to three main approaches :
- On-premise : This refers to local infrastructure where all servers and systems are physically maintained within the company, ensuring complete control over the data. However, this approach requires significant investments in hardware , maintenance, and security, which can limit operational flexibility.
- Hybrid cloud : combines on-premises servers and public or private cloud services, allowing for greater flexibility, security, and regulatory compliance. Companies that need to keep sensitive data under their own control but want the agility of the cloud find a strategic balance in the hybrid model.
- Multi-cloud : utilizes different cloud providers simultaneously, avoiding dependence on a single vendor and increasing the resilience and availability of systems. This model is ideal for companies seeking cost optimization and a high level of redundancy.
The choice between these models depends on the company's level of digital maturity and its operational and regulatory requirements . In Brazil, however, cloud migration still faces significant challenges; understand why.
4.2. Main obstacles to cloud migration in Brazil
Despite its proven benefits, cloud migration in Brazil still faces challenges that can delay or prevent this transition . Check out the main factors hindering this adoption, as highlighted by IDC Spotlight :
- Compliance and regulation : the LGPD (Brazilian General Data Protection Law) requires strict guidelines for the storage and processing of information, which causes many companies to hesitate in moving their data to cloud environments for fear of non-compliance;
- Connectivity infrastructure : Although large cities have extensive infrastructure, many regions of Brazil still face connectivity limitations and network latency, which can compromise the performance of critical cloud applications;
- Migration and adaptation costs : companies that have operated for years on legacy infrastructures may find it difficult to migrate to the cloud due to the high initial cost and the effort required to modernize systems and processes;
- Security and protection against cyberattacks : concerns about data security in the cloud remain a barrier for many organizations, which fear leaks or cyberattacks if the infrastructure is not managed effectively.
To overcome these challenges, companies need solid planning, reliable technology partners, and strategies that ensure a safe and efficient migration.
4.3. Competitive advantages of cloud-based solutions
Companies that overcome these barriers and adopt cloud solutions gain a competitive advantage, guaranteeing benefits such as:
- Instant scalability : the ability to adjust resources according to demand, allowing the business to grow without the need for large investments in physical infrastructure;
- Greater efficiency and cost reduction : by eliminating local servers, companies reduce expenses on maintenance, energy and physical space, in addition to increasing the productivity of IT teams;
- Enhanced security : Cloud providers utilize advanced encryption, access control, and continuous monitoring technologies, ensuring robust protection against digital threats.
- High availability and business continuity : cloud solutions offer resilient infrastructures, reducing the risks of downtime, operational failures, and data loss;
- Access to emerging technologies : cloud-based environments enable faster adoption of automation, artificial intelligence, and predictive analytics solutions, accelerating the digital transformation of companies.
Given this scenario, adopting 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.
Digital transformation is evolving at an accelerated pace, and data management has never been more strategic for business competitiveness. The need to integrate, protect, and structure information has led to the exponential growth of the Data Intelligence & Integration (DII) , driven by technologies such as IPaaS, artificial intelligence, and automation.
The IDC Spotlight highlights that organizations modernizing their data infrastructure with these solutions are reducing inefficiencies, mitigating risks, and accelerating innovation . But what are the key trends shaping this landscape in the coming years? And what lessons should companies consider to ensure a successful digital journey?
insights below .
5.1. Growth of the DII market and trends for the coming years
Data Intelligence & Integration market continues to grow. Companies across all sectors are seeking solutions that allow them to transform data into decisions with greater speed and security. This movement is driven , above all, by the explosion of data, increasingly intelligent automation, and the need to comply with global information protection regulations.
Among the main drivers of this growth are changes that are already being implemented in various sectors . For example, healthcare companies are using AI to accelerate diagnoses, while financial institutions are applying machine learning to identify fraud in real time.
The IDC Spotlight report points to three main factors for this progress:
- Data explosion : the massive digitization of businesses is generating unprecedented volumes of information, making it essential to adopt technologies that structure, organize, and process this data strategically;
- Accelerated adoption of automation and AI : companies are increasingly automating processes and using machine learning for predictive analytics, workflow optimization, and improved decision-making. The use of AI to integrate and interpret data will be a competitive differentiator in the coming years.
- Governance and compliance as a priority : with regulations such as the LGPD (Brazilian General Data Protection Law), the need for tools that guarantee security, traceability, and compliance in the use of data is growing.
- 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 solidify, the challenges of digital transformation go beyond technology. Organizations need to ensure their investments are aligned with business needs , adopting integration solutions that drive agility and competitiveness.
5.2. Key lessons learned about digital transformation
The IDC Spotlight reinforces that digital transformation is, above all, a change in mindset. It's not enough to adopt new technologies; it's necessary to understand how data can drive business strategy . Companies that intelligently integrate data, automation, and AI gain a sustainable competitive advantage.
Among the main takeaways from the study are:
- Data integration is a critical factor for scalability : companies that eliminate silos and connect their systems are able to operate with greater predictability, security, and efficiency. Solutions such as IPaaS and DII play an essential role in this process.
- Data governance ensures efficiency and security : the volume of information is growing exponentially, but disorganized and ungoverned data becomes a risk, not a strategic asset. Integration and compliance tools are essential to guarantee information security and quality.
- Automation and AI are essential for 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 differentiators for companies in the coming years.
- The cloud has become indispensable for innovation : organizations that migrate to hybrid and multi-cloud are able to operate with greater flexibility, security, and high availability, preparing themselves for an increasingly dynamic digital future.
- Digital transformation is not a one-off project, but an ongoing process : the companies that lead this journey are those that adapt quickly to new technologies, optimize their data infrastructure, and prioritize innovation as a strategic pillar.
Looking to the horizon, it's clear that the future of corporate intelligence depends on strategic decisions made based on reliable and well-structured data . Companies that modernize their infrastructure and intelligently integrate their operations are ahead in this race for innovation.
How about exploring these insights in more detail and understanding how to prepare your company for a secure and scalable digital future? IDC Spotlight study now and gain access to all the strategies and trends shaping the market.
I want to download the complete study now and stay up-to-date on everything!
The IDC Spotlight highlights an undeniable truth : digital transformation depends not only on new systems, but also on the ability to integrate, protect, and use data intelligently. Companies that invest in technologies such as IPaSS, automation, and artificial intelligence gain efficient and secure growth
It is precisely 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 clients eliminate data silos, ensure regulatory compliance, and scale operations sustainably.
With our solutions, we directly address the challenges and trends presented by the study:
- Skyone Data : data integration and governance to unify systems, eliminate inconsistencies, and provide a 360º view of the business;
- Skyone Cloud : migration and management of cloud environments, with high availability, security, and scalability;
- Skyone Security : Data protection with Zero Trust Security , advanced encryption, and continuous monitoring to mitigate cyber risks.
By implementing these solutions, our clients are able to data analysis time automate operational processes , and ensure that their decisions are based on accurate and reliable information .
We believe that innovation is not a destination, but a continuous journey. That's why we constantly work to develop solutions that anticipate market needs, combining cutting-edge technology with operational simplicity.
Data intelligence is not just a technological necessity, but a strategic element for the sustainable growth of companies. In today's scenario, where the amount of information grows every second, integrating, automating, and protecting data has gone from being a differentiator to a fundamental requirement.
Throughout this second article about the latest IDC Spotlight , we've seen that technologies like IPaaS, artificial intelligence, and cloud computing are the foundation of efficient data management . These solutions not only connect systems and eliminate silos, but also enable predictive analytics, greater governance, and faster, more secure decision-making.
The truth is that digital transformation increasingly demands that companies be prepared to handle the complexity of data intelligently . And organizations that invest now in modern structures will be better positioned to innovate and maintain their competitiveness.
Want to read more about this topic? 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.
Start transforming your company
Test the platform or schedule a conversation with our experts to understand how Skyone can accelerate your digital strategy.