Technology

Seven Big Data Trends: Emerging Technologies

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Data has become one of the most significant business assets in the modern era. The modernization of technology has enabled businesses to gather data and convert it into valuable information. It allows companies to know the interests of their target audience and to create strategies accordingly. With the rise of IoT, businesses across the globe use different devices to gather data. As a result, massive data inflow occurs. However, this data needs to be organized and structured to be made useful in business decision-making.

It is necessary to make big data accessible for all large and small enterprises to create a results-driven business plan. Here are some of the top significant data trends entrepreneurs, data scientists, and marketers should keep a watch on:     

Augmented Analytics

Data cleaning requires a tremendous amount of time – equal to 82% of a data scientist’s total working hours. Augmented analytics automates tasks that play a crucial role in saving data creation time to make analytics-ready data chunks. It streamlines the data management procedure and is also known as the future of business intelligence. It implements linguistic and statistical technologies to provide accurate data results. Augmented analytics is all set to hit the mark of a 19.5 billion-dollar industry by the end of 2023. 

Cloud Optimization and Cold Storage

The significance of data will increase even more in the future. However, businesses still struggle with maintaining data stored on legacy systems. Cold storage that companies use as a cloud service can be the solution to this issue. Optimizing the cloud services for feasible data solutions is transforming the way businesses deliver and store information. Big data generates around quintillion bytes and a considerable amount of heat that requires constant cooling. Cold storage solutions can save around 50% of the storage cost while still keeping services intact and running correctly. 

Continuous Intelligence

Continuous intelligence (CI) connects data pipelines with automated decision systems. It provides businesses access to big data that positively impacts their decision-making processes and enhances their automation endeavors. 

You may need highly qualified individuals in your company to handle this technology. It would be best to encourage your employees to opt for higher education and gain a better understanding of the latest technological developments. Considering the public health situation, an online masters in data science is the best option.

CI is an emerging trend that is a perfect big data solution to meet customers’ needs efficiently. It is expected that this trend will gain more momentum, and more businesses will integrate it into their systems.

Dark Data

Our digital footprints generate unlimited data, but business companies capitalize on only a minor part of it. The remaining data gets stuck in dark data silos. It is also known as the unstructured data web. Dark data is not a fractional part, but it is the fastest evolving big data pie component. It provides valuable insights into the customer’s behaviors, target market preferences, and competitor analysis. This dark data has a positive influence on your business decisions.

Blockchain

One of the most crucial concerns related to big data is data privacy and integrity. Blockchain is one of those technologies that strengthen big data security and assures that it is only accessible to the relevant authorities and stakeholders. This technology has made significant progress in recent past years. But still, we have to see how data layers of blockchain will respond to the learning models of AI. According to experts, this technology is expected to make tons of profits for businesses.

Edge Computing

The pandemic of COVID-19 has forced businesses to consider the cloud for shifting their operations. The IoT devices also have a fair contribution to it. The need for moving operations to the cloud has created a cloud computing model known as edge computing. It sorts the most crucial data to process for use in numerous business tasks. Then, it stores it in the place where IoT sensors have access to it. In the future, edge computing will help businesses to keep their data safe and secure. 

Self-service Business Intelligence

Self-service business intelligence streamlines the data operations of warehouses, including their whole value chain. It will allow companies to integrate business intelligence into their data-driven structure via marketing automation and financial programming. It will also empower developers to build personalized experiences with the help of a business intelligence loop. 

Conclusion 

We live in a data-driven era where businesses use it as a vital component to make decisions and transform their framework. By leveraging data effectively, companies aim to improve their profitability and ROI. But to do that efficiently, it is also essential to stay updated about the emerging technologies in the data landscape. The technologies mentioned earlier will surely make a valuable addition to your knowledge and help you utilize them effectively.

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