Smart Data Collective

AUGUST 11, 2022

Data analytics technology has become very important for helping companies manage their financial strategies. Companies are projected to spend nearly $12 billion on financial analytics services by 2028. There are many great benefits of using data analytics to improve financial management strategies.

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Smart Data Collective

JULY 26, 2023

Big data has driven major changes in the e-commerce sector in recent years. E-commerce brands spent over $16 billion on analytics in 2022 and are projected to spend over $38 billion by 2028. Advances in big data have played a huge role in this shift. Keep reading to learn more. Keep reading to learn more.

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Dataconomy

JULY 17, 2023

According to a recent report by IoT Analytics , the global number of IoT connections grew by 18% in 2022, reaching 14.3 A Statista report also suggests that the global IoT revenue is expected to reach $2,227 billion by 2028, witnessing a CAGR of 13.60% from 2023 to 2028. billion active IoT endpoints.

Internet of Things 171

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Smart Data Collective

JANUARY 26, 2022

Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting.

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Smart Data Collective

SEPTEMBER 19, 2021

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role.

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Smart Data Collective

MARCH 15, 2022

There is no doubt that big data has been a major gamechanger for the financial sector. Companies around the world are expected to spend over $25 billion on financial analytics by 2028. Large financial institutions aren’t the only ones being impacted by big data. Better Tax Handling.

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Smart Data Collective

SEPTEMBER 16, 2022

By 2028, it should be worth over $332 billion. They are using big data technology to offer even bigger benefits to their fintech customers. Speaking of global fintech trends, one cannot fail to mention Big Data. Fintech in particular is being heavily affected by big data. Data security.

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Smart Data Collective

MAY 16, 2022

Big data is changing the future of the healthcare industry. Healthcare providers are projected to spend over $58 billion on big data analytics by 2028. Healthcare organizations benefit from collecting greater amounts of data on their patients and service partners.

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Smart Data Collective

AUGUST 4, 2022

Analytics technology has transformed the healthcare industry in recent years. Healthcare organizations are projected to spend over $80 billion on analytics services by 2028. There are many benefits of leveraging analytics in healthcare. Wi-Fi Problems Create Problems for Data-Driven Healthcare Organizations.

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Pickl AI

SEPTEMBER 18, 2024

Read More: How Can AI and Data Protection Work Together Market Overview The global AI in cybersecurity market was valued at approximately USD 22.4 billion by 2028, growing at a compound annual growth rate (CAGR) of 21.9% billion by 2028. billion in 2023 and is projected to reach USD 60.6 during this period. billion in 2023.

AI 52

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Pickl AI

NOVEMBER 5, 2024

Before moving further, do you know the difference between Business Intelligence and Business Analytics ? billion by 2028, with a CAGR of 13.6% from 2022 to 2028. This growth reflects the rising demand for advanced BI tools like Tableau across various industries, cementing its role as a leader in Data Visualisation.

Power BI 52

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Pickl AI

NOVEMBER 4, 2024

As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million by 2028. ETL is vital for ensuring data quality and integrity.

Data Engineer 52

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Pickl AI

OCTOBER 21, 2024

They provide flexibility in data models and can scale horizontally to manage large volumes of data. NoSQL is well-suited for big data applications and real-time analytics, allowing organisations to adapt to rapidly changing data landscapes. Examples include MongoDB, Cassandra, and Redis.

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