Computer programs require technological updates, and cloud ecosystems can accelerate this process through virtualized environments. Simultaneously, secure electronic communications need data modernization services that help business migrate their databases from obsolete systems to new programs. This post will explain the top 5 use cases on how to modernize corporate data.
What is Data Modernization?
Data modernization means transferring data from a siloed or outdated ecosystem to an advanced database management system (DBMS). This migration is often powered by cloud computing and extensive automation. Companies benefit from data modernization services since they can increase the scale of data gathering and holistic pattern identification.
Businesses can also leverage data compression to reduce data storage costs and bandwidth consumption in online access. Machine learning (ML) models will allow enterprises to design database management tools to automate the propagation of new reporting standards.
Complex computing technologies require more effective hardware systems. Besides, current cybersecurity norms suggest using more modern encryption algorithms. A revamped data management system lets managers implement the latest security and governance criteria.
If you’re eager to discover the latest techniques on how to modernize your data, click here for more information to stay ahead in the ever-evolving data landscape.
Top 5 Use Cases on How to Modernize Your Data
Use Case 1 – Upgrading Analytics for Business Intelligence
Various branches of an organization will employ data analytics consulting services for insight extraction. Employees can also create business intelligence (BI) datasets appropriate for each departmental goal. Similarly, international associations deliver their offerings to consumers in multiple countries and regional subdivisions.
This situation generates data quality management (DQM) risks, ranging from value duplication to inadequate intelligence recovery. Still, data modernization services assist businesses in collecting enterprise data from all regional offices and business units.
Later, administrators can use a unified interface to develop linked “data views” or “reporting dashboards” that meet prescribed DQM requirements. So, modernizing your IT infrastructure eliminates the drawbacks of enterprise data distributed in different on-premise storage resources.
Use Case 2 – Integrating Cloud Computing Platforms
The cloud involves virtualizing computer processes based on remote servers configured to deliver connected experiences. Cloud computing is valuable in cost optimization involving networking and data warehouse resources.
Data analytics consulting services often apply cloud-based automation. Therefore, they can deliver continuous intelligence acquisition, data cleaning, and analytical modeling options. Cloud integration is one of the widespread use cases of data modernization services.
How can managers study the cloud vendors in the target markets and modernize their data? Check whether a data partner’s offerings fulfill the following needs.
- An ideal cloud computing system must provide importing and exporting functions to facilitate the free flow of enterprise data.
- Its pricing should offer the flexibility of payment and billing period customizations.
- Your workers must find it easy to understand and use to improve the established reporting techniques.
The cloud partners must devise, deploy, and support the firewalls and approval frameworks to guard against cyberattacks and enhance corporate management.
Use Case 3 – Acquiring Artificial Intelligence (AI) and Machine Learning (ML) Capabilities
The essence of data modernization analytics consulting services lies in automation driven by AI and ML. Substantial innovations like OpenAI’s ChatGPT have augmented business areas that will profit from AI-led advancements.
Think of chatbots and virtual assistants in smartphone devices. These technologies had robotic voices. They exhibited artificial speech patterns. Furthermore, these systems would respond to verbal commands in a specific order.
Nevertheless, those conversational interactions have stopped estranging consumers and professionals because of the inventions like large language models (LLM). Their newer versions will revolutionize customer services, and data modernization will help you use them.
Use Case 4 – Flexible Reporting Modules
Digital advancements must enable employees to alter and share vital reports via user-friendly dashboards. This necessity indicates that freely configurable visualization tools are essential to enforcing contemporary reporting standards.
So, creative visualized reporting emphasizes the role of data analytics consulting services in today’s competitive landscape. Besides, it enables employees to render unique data views for convenience and productivity improvements without directly changing the central BI dataset.
Use Case 5 – Preventing Cyberthreats and Corporate Espionage
Cybercriminals can design an unsafe website pretending to be your company. They manipulate search engine optimization methods to trick stakeholders into thinking the fake site is original. So, organizations must actively observe the untrustworthy use of their brand’s visual identity.
Likewise, you must use data modernization services to prevent unauthorized individuals from injecting malware into your IT resources. Old software and hardware cannot satisfy the latest cybersecurity requirements. Also, many cybercriminals know all the security vulnerabilities in obsolete operating systems.
Consider how industry rivals can utilize corporate espionage to abuse data transferred between employees’ machines. Businesses require end-to-end encryption (E2EE) to mitigate such hazards. Updating their IT system will activate E2EE across all communication channels.
You want reliable data modernization services to implement these 5 use cases on how corporations modernize their data. More recent platforms also offer real-time cooperative settings. So, you must change your existing data management system to leverage more innovative platforms. Also, you will need cloud integrations to mitigate data corruption risks. Combating corporate espionage attempts is also critical.
Modernizing a business’s IT resources will facilitate adaptable reporting visualizations and ML development assistance. Yet, managers must select the most appropriate data partners to ensure transition success.
SG Analytics, a leading data analytics company, supports global corporations in improving data governance, availability, standardization, and process automation. Contact us today if you seek efficient data modernization strategies that increase your competitiveness.
