Top 5 IT Profiles to Boost Your Business Technology Strategy
Business intelligence and business technology have become key factors for organizational success. It is not just about collecting and managing data, but transforming it into strategies that drive growth and innovation. However, to achieve this successfully, it is essential to have the right IT profiles in place.
What’s the Relationship Between Business Technology and IT?
Business intelligence and business technology (IT) are deeply interconnected. While business intelligence focuses on gathering, analyzing, and converting data into valuable information for strategic decision-making, business technology provides the tools, platforms, and systems necessary for this process to happen.
IT profiles not only facilitate the capture and processing of information, but they also drive innovation, automate critical processes, and ensure data security, all of which are essential elements for effective business intelligence.
To achieve this, keep reading, as in this article, we present the Top 5 IT Profiles that will enhance your organization’s business technology, helping you make better decisions, optimize processes, and stay one step ahead of the competition.
Data Engineer
The Data Engineer is responsible for the entire data infrastructure of a company. They prepare data for analysis and decision-making, designing systems that can collect, store, and organize large volumes of information efficiently and securely.
Their functions include:
- Gathering and storing data in an accessible, centralized way, often using APIs. Once the data is collected, it’s stored in an easily accessible location for all team members.
- Creating scalable data infrastructure that responds to the company’s needs. They identify these needs and expectations beforehand.
- Ensuring data quality by cleaning it of duplicates, errors, or outdated information, making it ready for analysis across the company’s various applications.
- Automating data processing to make the flow smoother and faster, as the data comes from multiple sources.
Having a Data Engineer in your team brings multiple benefits: they provide reliable, centralized data that supports strategic decisions, accelerate the analysis process by organizing data, and reduce errors and loss of critical information.
Business Intelligence Analyst
The Business Intelligence Analyst transforms data into valuable knowledge for the company by combining business analysis, data mining, infrastructure tools, and data visualization. This provides a comprehensive view of the organization. Here are some of their tasks:
- Organizing and structuring data to make analysis easier, categorizing and tagging it. They also plan how to obtain data from various sources.
- Analyzing data to identify areas of improvement and problems within the organization, such as inefficiencies in supply chain processes or customer service. They can also spot patterns in consumer behavior or trends.
- Creating reports through interactive dashboards that facilitate visualization, highlighting the most important company data. They also prepare specific reports on particular topics and, based on this information, provide recommendations to solve various identified issues.
Having a Business Intelligence Analyst in your team enables better decision-making by providing timely, clear analysis, helping identify risks and business opportunities early, and ensuring better alignment between business objectives and strategic actions.
Cloud Architect
Cloud technology offers significant advantages, allowing global server connectivity, providing storage and remote computing services, and offering benefits such as agility and cost-effectiveness. The Cloud Architect manages this infrastructure, integrating servers, networks, platforms, and storage systems, working with various cloud types (public, private, or hybrid), depending on the company’s needs.
Key responsibilities include:
- Evaluating improvements that enhance cloud infrastructure, identifying errors or failures in operation, and ensuring everything functions correctly.
- Ensuring interoperability between different systems and platforms, selecting the right software and hardware, and managing the migration process to the cloud.
- Managing cloud-related budgets and supplies to optimize infrastructure operations and costs.
Working with cloud architecture provides your company with greater agility to scale operations as market demand rises, reduces operational and maintenance costs, and improves resilience and business continuity in the face of failures or cyberattacks.
Cybersecurity Specialist
A Cybersecurity Specialist is crucial for protecting sensitive company information, preventing financial losses from cyberattacks, ensuring business continuity, and complying with legal regulations. Additionally, they strengthen the corporate reputation by securing data and educating the team on best digital practices, minimizing internal risks, and reinforcing a security culture within the organization. Their key duties include:
- Assessing and identifying potential vulnerabilities in the company’s system to prevent security breaches, using monitoring tools to mitigate security risks.
- Implementing security protocols, encryption, and monitoring systems, while promoting best practices to avoid compromising data.
- Creating a cybersecurity prevention plan and preparing an action plan for a cyberattack, with continuous audits to stay up-to-date on the company’s security status.
- Implementing security systems and tools to protect internal company devices and ensuring data security for employees.
Having a specialist in cybersecurity ensures the protection of your company’s reputation and reduces the financial risks associated with potential cyberattacks.
AI and Machine Learning Engineer
In recent years, technological tools have significantly contributed to optimizing business processes. One such tool is Artificial Intelligence (AI). However, it’s essential to have professionals who understand how to integrate these solutions across various company sectors. AI engineering involves designing, developing, and implementing machine learning models and AI solutions for different business areas.
The AI Engineer’s specific tasks include:
- Identifying the company’s needs and determining the right machine learning algorithms to address these challenges.
- Designing, training, and optimizing machine learning models.
- Collaborating with other teams such as data scientists, engineers, and product managers to integrate AI capabilities.
- Implementing automated solutions that enhance operational efficiency.
AI Engineers play a pivotal role in boosting organizational competitiveness and efficiency. They optimize processes through automation, improve decision-making with predictive analytics, personalize customer experiences, reduce operational costs by identifying inefficiencies, and drive continuous innovation by incorporating disruptive technologies. They also help create scalable solutions that adapt to business growth.
👉 See how generative AI is changing the business world here
Final thoughts
The success of a business technology strategy depends greatly on the talent supporting it. Data Engineers, Business Intelligence Analysts, Cloud Architects, Cybersecurity Specialists, and AI Engineers form the team that can elevate your organization to the next level.
To make sure your company remains competitive in a rapidly changing business environment, investing in these IT profiles will give you the edge you need.
Ready to elevate your business technology and intelligence? At Pevaar Software Factory S.A.S., we specialize in providing the right IT talent to transform your company’s data into actionable strategies.
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