siliconindia | | SEPTEMBER 202119Quality of Data: The data collected by an organization comes from different sources such as email, social media, mobile, 5G networks, AR/VR, video, voice, as well as IoT devices, thus varying in formats. This leads to prob-lems in matching the data formats. If your existing data infrastructure is not equipped to handle the volume and the variety of unstructured data, data scientists will end up with extreme inferior data quality which may hamper effective business outcomes.Data Security: With the growing numbers of cyberat-tacks, organizations should be cognizant of the fact that their data is highly vulnerable to fake data generation and data fabrication. In parallel processing after data col-lection, untrusted mappers can effectively ruin the data quality. Additionally, if the data storage and security sys-tem are inadequate, the company data become low hang-ing fruit for fraudsters and cybercriminals.Scalability: Companies must continuously keep scal-ability in mind while designing data algorithms. If data needs are growing, it's important that the system can handle the changing flow of information to retain cus-tomers and maintain efficiency. Data infrastructure must also be ready with the system's maintenance and support to properly address any changes related to data growth, either in traffic or volume.New Tech: While many companies use a software-de-fined infrastructure (SDI) to support their IT environ-ment, SDI is not `intelligent' because its functioning de-pends on the skills and expertise of the software developer. The trend is now shifting towards Artificial Intelligence defined infrastructures (ADI), that are fully stacked with sophisticated AI and ML algorithms, so they can automati-cally build self-healing frameworks.Agility: Your data should be agile enough to move at the speed of your business. However, traditional data lakes and big data platforms are expensive to maintain and lack in-frastructure agility. By implementing modern data infra-structure, you can innovate and optimize costs to reinvest in growth and transformation journeys. With the right data infrastructure, companies can seamlessly move the data they need between different tools, providing a single view of each customer across departments.Realtime: Companies that want to ensure they have a glob-al reach, can efficiently solve business issues and have the flexibility to enter new markets quickly need to keep pace with the emerging trends inartificial intelligence, edge com-puting, and cloud marketplace. This will allow businesses to meet real-time efficiency and scalability of modern data infrastructure.To conclude, improving data infrastructure offers a way to future-proof your organization's strategy. According to a report by Allied Market Research, the global big data and business analytics market size is projected to reach $420.98 billion by 2027, growing at a CAGR of 10.9 percent from 2020 to 2027. By implementing a solid data infrastructure, data scientists can also engage in an efficient job, providing stable and ready access to data that is up to date, fit for pur-pose, and well-documented.
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