Smartlytics Consultancy Limited

📈 Are you tired of the tedious process of manual data collection and consolidation for your financial reports? CFOs, finance directors, and finance departments often grapple with this challenge.

🚀 We're excited to introduce SMART HUB - Finance, your key to a fully automated, streamlined financial reporting solution. It's the ultimate single source of truth for all your financial data needs.

🔗 Learn more about SMART HUB - Finance and how it can revolutionize your financial reporting process: https://www.smartlytics.co.uk/end-to-end-data-platform

💼 Ready to see it in action? Book a demo today and discover how SMART HUB - Finance can empower your finance team: https://calendly.com/d/489-6wk-6q6/financial-reporting

Say goodbye to manual data struggles and hello to efficient financial reporting with SMART HUB - Finance! 💪📊

Smartlytics Smartlytics UK | Data Analytics and BI Services UK

What's the difference between Data Science and Data Analytics?

Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources. A data scientist creates questions, while a data analyst finds answers to the existing set of questions.

10 facts about Big Data and Data Analytics that you need to know:

1. The total amount of data is expected to reach 59 ZB.

2. Stored data is doubling every 4 years.

3. By 2024, streaming data and analytics infrastructure will increase fivefold.

4. The global big data and business analytics market is expected to be have an annual revenue of 274.3 billion USD by the end of 2022.

5. 35% of large organizations will participate in formal online data marketplaces by the end of 2022.

6. 53.7% of c-level executives consider transformation to be the principle driver of AI and big data investments.

7. 80% - 90% of data in the digital universe is unstructured.

8. About 60% to 70% of enterprise data goes unused.

9. About 20% of organizations across sectors have been deploying big data.

10. 32% of organizations are planning to adopt big data.