Services
NIS-2 Directive
The NIS-2 Directive is a new regulation that aims to set higher minimum requirements for cybersecurity in the European Union. This directive is set to take effect in the fall of 2024 and will impact around 30,000 companies in Germany alone. It’s crucial to take action now to ensure compliance with the new regulations and avoid potentially high penalties. To help you understand the most important facts about the NIS-2 Directive, we provide an overview.
The NIS-2 Directive regulates the cybersecurity and information security of European companies and institutions and expands the previous NIS. The deadline for the national implementation of the NIS-2 Directive is October 17, 2024!
From this date, the European member countries are obligated to implement the directive through legislation. This means that many industries will have new and stricter cybersecurity regulations – even for companies that have not been affected by previous regulations thus far.
The European Union has decided to implement new and stricter regulations to enhance cybersecurity, protect critical infrastructure, and increase economic resilience.
At AuraCo, we are ready to assess the impact of the directive on your organization and guide you through the implementation of NIS2.
The deadline for the
national implementation
of the NIS-2 Directive is
October 17, 2024!
Data-Driven Business Transformation
Data-driven business transformation is how companies fundamentally change their strategies, processes, and cultures by making data and data-based insights the cornerstone of their decision-making.
This approach uses insights from data to optimize business models, promote innovation, enhance customer experience, and increase efficiency. Data-driven business transformation is an ongoing process that requires continuous evaluation and adjustment to respond to technological changes, the market, and customer behavior.
The process of transforming a business to become data-driven involves several tasks. These tasks include implementing data-centered decision-making, integrating various data sources, establishing technological infrastructure, initiating cultural change, prioritising customer orientation, optimising business processes, managing risks and compliance, fostering innovation, and enhancing competitiveness.
Data-based decision-making involves making decisions based on concrete data analyses instead of intuition or experience. This includes using Big Data, Predictive Analytics, and other forms of data analysis to gain insights into customer behavior, market trends, and business processes.
Data integration is essential for obtaining a comprehensive view of your business. We can help you integrate heterogeneous data sources. However, data-driven transformation requires a cultural shift in the company’s culture that encourages employees to think and act data-oriented. This shift requires training, workshops, and a redefinition of roles and responsibilities.
Company data often lacks the required qualitative properties for process optimisation. Our services assist companies in instilling trust in their data by developing a data infrastructure capable of supporting business process analysis and optimization.
Realtime Enterprise Reporting
Realtime Enterprise Reporting has become a significant challenge for companies with multiple autonomous business units. Generating reports in real-time has become a norm with the widespread adoption of cloud-based ERP and CRM systems. However, larger organizations face complexities in generating real-time operational data. This problem is common to investment managers, such as private equity, venture capital, family offices, and large companies.
Realtime Enterprise Reporting is the process of collecting, processing, and analysing business data in real-time or near real-time. The primary objective is to obtain insights into the day’s numbers as they happen instead of periodically (daily, weekly, monthly) like traditional reporting methods.
Realtime Enterprise Reporting enables companies to respond more promptly to changes and challenges, enhance operational efficiency, and make better decisions.
Data Security
Data Security measures are put in place to protect data and information from unauthorised access, use, disclosure, disruption, alteration, or destruction. The goal is to ensure your data’s ongoing confidentiality, integrity, and availability. Having a dedicated Data Security strategy is crucial in today’s world because data breaches not only cause direct financial losses but also damage the trust of your customers in a company’s reputation in a sustainable way.
Data Security is an essential aspect of IT security and includes various measures and practices such as Data Access Management, Privileged Access Management, 3rd Party Vendor Access, SIEM, Zero Trust Architecture, Cloud Security, Data Governance, and Data Privacy.
Identity and access management ensures that only authorized persons can access sensitivedata by managing users’ identities and permissions. To regulate data handling throughout the company, we work with you to develop policies and procedures, which are then implemented in your organization.
AuraCo also ensures that your organisation meets regulatory requirements such as BAIT, NIS2, EU-Cyber Resilience Act, GDPR, and ISO27001 to protect you against cyber attacks.
Digital Transformation
We assist companies in identifying opportunities for creating digital value and implementing key aspects of digital transformation, including the integration of new technologies, culture change, data-driven decision-making, and digital products. These measures can lead to a better company culture, higher efficiency, and ultimately increased value for the company and its customers.
Integrating digital technologies involves using digital tools and technologies to modify existing business processes or create new ones, as well as culture and customer experiences, to adapt to changing business and market conditions. One of the primary goals of digital transformation is to enhance the customer experience. This includes personalising customer interactions, improving service delivery, and using data analytics to understand customer preferences and behavior better.
Another primary goal of digital transformation is to enable data-driven decision-making. This necessitates using data analytics to guide decisions, resulting in more precise strategic decisions based on real-time data. AuraCo assists in making your company more agile to respond quickly to market developments, customer needs, and new technologies.
AI Integration
We can provide assistance with integrating AI into different areas of your organization. This could include automated customer interactions, advanced analytics, and decision-making. Implementing AI can improve efficiency and deliver more accurate insights, better customer experiences, and new business opportunities. However, it requires careful planning, skilled resources, and an understanding of potential challenges and risks.
A successful AI implementation involves various considerations, such as needs analysis and goal setting, data provisioning and management, technology selection, team development and testing, integration with existing systems, training and change management, ethics and compliance, continuous monitoring and adjustment, and scaling.
AuraCo is here to help you plan and implement your most profitable AI opportunities.
Data Access Management
Data Access Management is a set of processes and technologies that ensure the right people within a company can access the correct data at the right time while preventing unauthorised access. This is a crucial part of data management and information security.
Data Access Management is essential to maintaining the integrity and confidentiality of data and ensuring efficient and productive operations within an organization. Data Access Management has several key aspects, including access control, role-based access control (RBAC), least privilege, monitoring and logging, data security, user training and awareness, compliance with legal requirements, regular review and updating, and emergency and recovery plans.
Access control refers to the policies and procedures that regulate data access by determining who has access to specific data. It involves authentication mechanisms such as biometric data, passwords, and two-factor authentication. Role-based access control (RBAC) assigns data access rights based on user roles in an organization to ensure that employees can only access the data necessary for their work. Another aspect of Data Access Management is minimizing data access, which limits access to data to the minimum necessary (Least Privilege) to reduce the risk of data leaks and misuse. Monitoring and logging are also relevant, as data access is monitored, and logs are created to determine who accessed which data. This is important in detecting and investigating security breaches inside and outside your company.
AuraCo ensures that your Access Management complies with all relevant data protection laws and regulations, such as the General Data Protection Regulation (GDPR). Another process of Data Access Management is the Regular Review and Update of User Accounts. This involves the periodic review of access control policies and access control procedures to ensure that they remain appropriate and consider current threats.
Data Governance
Data Governance refers to the principles and practices that ensure data consistency, trustworthiness, and compliance with legal requirements throughout a company. It is vital for organizations to maximise the value they derive from their data while also minimising risks associated with data management and security.
Effective Data Governance comprises several key elements, including policies and standards, data quality, data security, compliance, data privacy, data architecture, data modeling, data management, data storage, stakeholder management, data stewardship, and data access management.
AuraCo can assist you in developing a change management plan for Data Governance and selecting and implementing related technology solutions, such as Data Catalog, Data Access Management tools, Data Lineage, Data Quality Tools, and Data Lake, successfully.