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Emerging Trends: Data Analytics in Bangalore 2024

Justin

Introduction

Data analytics is quickly emerging in Bangalore, and because the technology landscape in Bangalore is dynamic, no real-time data or predictions can be completely accurate. However, some definitive general trends in data analytics are vivid and set to shape the industry in Bangalore and, perhaps, in other tech hubs during 2024 based on what the data and developments up to this point indicate. Yet, as these trends may have evolved or changed since then, as they are governed by unpredictable factors influencing the technology ecosystem, anything short of an exhaustive analysis of all recent sources can only provide information based on inferences and indicative parameters. A fascinating fact is that predictions about trends in data analytics are best made by data scientists who have gained enough knowledge, say from what they learnt from a data analyst course!

Some Reliable Indicators

However, some clear indicators can point to the emerging trends around data analytics in Bangalore. The following is a brief outline of such indicators and what they predict about emerging trends: 

  • AI and Machine Learning Integration: Data analytics was expected to increasingly rely on artificial intelligence (AI) and machine learning (ML) technologies. These tools enable more advanced predictive and prescriptive analytics, helping businesses make data-driven decisions.
  • Data Privacy and Governance: With increasing concerns about data privacy, there was likely a growing focus on data governance and compliance with regulations like GDPR and India’s data protection laws. Companies were expected to invest in ensuring data’s ethical and legal use. Most learning and training centres that offer a data analyst course in Bangalore are sensitive to the importance of the legal implications involved in data analytics and include these topics in their course curriculum.
  • Real-time Analytics: The demand for real-time analytics was projected to surge, especially in industries like finance, e-commerce, and healthcare, where immediate insights are critical for decision-making.
  • Data Analytics in Healthcare: Bangalore has a thriving healthcare ecosystem, and data analytics is expected to play a significant role in areas like patient care, drug discovery, and disease prediction.
  • IoT and Sensor Data: As the Internet of Things (IoT) continued to grow, there was likely an increase in the use of sensor data for analytics in various sectors, such as manufacturing, agriculture, and smart cities.
  • Edge Computing: Edge computing was anticipated to become more prevalent, particularly in scenarios where data, such as autonomous vehicles and intelligent infrastructure, must be analysed and acted upon locally to reduce latency. An inclusive data analyst course needs to cover edge computing principles or at least the basics of this technology.
  • Data Visualisation: Advanced data visualisation tools and techniques were expected to gain importance in helping organisations communicate insights effectively to technical and non-technical stakeholders.
  • Augmented Analytics: Augmented analytics, which incorporates AI and machine learning to automate data preparation, insight generation, and natural language explanations, was expected to gain traction. Machine learning forms an integral part of any data analysis course that is sensitive to emerging technologies posed to dominate the technological ecosystem.
  • Ethical AI and Bias Mitigation: As AI and ML played a more significant role in analytics, addressing bias and ensuring ethical data practices were projected to be critical concerns.
  • Talent and Skill Development: The demand for data analytics professionals with expertise in AI, ML, and big data technologies is expected to grow. Educational institutions and training programs were likely to adapt to meet this demand. Technical training centres offering a data analyst course in Bangalore find increasing enrolment from beginners and professionals seeking to upgrade their skills.  
  • Cloud-based Analytics: The shift towards cloud-based data analytics solutions was predicted to continue, offering scalability, flexibility, and cost-efficiency.
  • Data Monetisation: Companies would likely explore new ways to monetise their data assets through data marketplaces and partnerships.

Conclusion

These trends provide a broad overview of what the data analytics landscape in Bangalore looks like in 2024. For the most up-to-date and specific information, consulting industry reports, experts, and news sources in 2024 is essential. One of the most tell-tale indicators of the growing popularity of data analytics and the rising demand for professionals having skills in this area is the eagerness for technical training centres to include a data analyst course in their offerings.

ExcelR – Data Science, Data Analytics Course Training in Bangalore

Address: 49, 1st Cross, 27th Main, behind Tata Motors, 1st Stage, BTM Layout, Bengaluru, Karnataka 560068

Phone: 096321 56744