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Business Analyst Trends

Business Analytics Trends in 2024: Tools and Predictions

Stefan Joseph
Stefan Joseph
Stefan Joseph is a seasoned Development and Testing and Data & Analytics, expert with 15 years' experience. He is proficient in Development, Testing and Analytical excellence, dedicated to driving data-driven insights and innovation.

This technological era is full of surprises and evolution happens with every passing moment. Who could have thought that analyzing data would win the big business battle if you look at the current scenario carefully, data is the most precious asset every company is using to predict the future. Machine Learning, Artificial Intelligence, Deep Learning, etc., have shaken the entire world and along with that roles and responsibilities of Business Analysts have also metamorphosized. 


Business Trends Are Constantly Changing

The digital revolution has yielded some fantastic results like the cloud, blockchain, social networks, big data, augmented reality, metaverse, and so on. The contribution of Business Analysts to all these domains is absolutely impeccable. With top-notch Business Analyst skills, you can definitely ace the game but Business Intelligence is going through a lot of changes every day. The Business Analytics software market is growing wild as well! (Data collected from Mordor Intelligence)


Business Analytics Software Market Growth 2021-2026


Organizations are enhancing workflows, finding bottlenecks, and allocating useful resources more wisely by analyzing data. This in turn boosts productivity and efficiency. As per a June 2020 estimate by Gartner, it is projected that by the conclusion of 2024, 75% of enterprises will shift from the experimental phase to the practical implementation of artificial intelligence (AI). This transition is anticipated to yield a significant increase in the demand for streaming data and analytics infrastructures.


Emerging Trends in Business Analytics

As the year 2024 approaches, the landscape of Business Intelligence (BI) and Data Analytics is undergoing swift transformations. Today we will delve into the most recent trends and forecasts that are shaping the BI landscape as we advance into 2024 and beyond.


Advanced-Data Visualization

Everything starts here! The New York Times updated a report on March 2023 showing the COVID-19 cases and the whole transition period from 2020 to March 2023. Collection of data is undoubtedly a monumental task but data representation also plays a crucial role, as everyone is not a BA to understand the nitty-gritty of the presentation. Data Visualization, therefore, is a vital aspect that is considered quite impactful by Business Analysts. 

With this data as shown by The NYC Times, imagine what would be the implementation when integrated with more powerful AI in 2024. With GPT 4.0 online and GPT 5.0 on the way, the integration of Data and AI is a powerful couple that will create a magnificent visual effect, pretty understandable from the layman’s perspective.


Advanced-Data Visualization


This image above as presented by The NYC Times shows cases active in different regions along the status of the USA in the image below.


Advanced-Data Visualization


This is a fantastic use of a Business Intelligence tool where touching anywhere on the map will show you the result based on 3 parameters they have set. In this map, we have tried looking for Lincoln County in Nevada and it’s showing 3 statuses- the average cases per day, number of cases per 100,000, and a statistical trend in the past 14 days. 

In the image below, we’ve chosen another region and that is Hansford County in Texas. You can clearly see that the readings have changed from what it was with respect to Lincoln County. Therefore, with this advanced level of Data visualization, researchers are getting a lot of benefits. Besides, these data sets are providing advantages to a lot of industries like food & beverage, medicine, recruitment, etc. With this information, they can make strategic business decisions. 


Real-Time Data

Look at the Sports industry now! Using real-time Data coaches and clubs are making swift decisions that are favoring their side. Sports Analytics is one of the prime wings of Data Analytics that Business Analysts are implementing a lot to stop wasting time on chalking strategy. Brands have already started incorporating dynamic monitoring systems and in 2024 this practice is going to be almost in every corporate sector. 

The image below shows how a dynamic monitoring system is generating on-time real data on a coffee brand ad campaign. There are multiple data sets and it keeps getting updated automatically as long as the campaign is running.

Real-time Data Coaches and Clubs

The result of using a dynamic monitoring system is mindblowing:

  • Business Analysts can gain immediate access to test status information, facilitating faster decision-making and mitigating delays
  • They can create comprehensive reports to monitor the evolution of test progress over time
  • Evaluating the return on investment (ROI) of a BA by utilizing historical utilization reports is no more a hassle
  • They can easily highlight their operations and capabilities effectively when conducting tours

Understanding the Customer Journey

According to a Forbes article, the following are the most important customer experience (CX) trends in 2024:

  • Generative AI in CX: This refers to the use of artificial intelligence (AI) to generate dynamic marketing campaigns, and personalized user guides, streamline customer service, and gain deeper insights into customers and loyalty by analyzing behavioral data.

  • Subscriptions get smart: Businesses will invest in leveraging AI and advanced analytics to create tailor-made offerings at dynamic price points and individualized levels of service.

  • CX measurement: Business Analysts will start consolidating customer experience metrics across the organization to achieve consistency and customer experience improvements.

  • CX design: This is the process design teams follow to optimize customer experiences at all touchpoints before, during, and after conversion. They leverage customer-centered strategies to delight customers at each step of the conversion journey and nurture strong customer-brand relationships.

  • CX personalization and automation: Enhance the customer experience (CX) by employing data-driven insights for personalized customer experiences while also streamlining operations through task automation to boost productivity and efficiency.

  • CX data governance: This refers to the management of data assets across an organization to ensure that data is accurate, consistent, and secure.

  • Holistic CX approach:  It involves not only the creation of a positive employee experience that harmonizes with the company’s CX goals but also a commitment to using CX strategies as a force for social responsibility and sustainability. Furthermore, a robust CX framework necessitates a vigilant commitment to ethical standards, ensuring that CX strategies remain in ethical alignment with the company’s core values, thereby fostering a complete and principled customer experience.

Augmented Analytics

Not every data set that a Business Analyst works on is simple. There are tons of unstructured and complex data that take a lot of time to analyze and collecting insights from that data set often becomes hectic. Augmented Analytics includes the alpha bonding of AI and Machine Learning to crack these data easily and faster. Augmented analytics consists of tools and software that bring analytical capabilities such as recommendations, insights, or guidance on a query to the Business Analysts. 

Augmented analytics delivers substantial value to business users and executives by swiftly extracting insights from data, without the prerequisite of advanced technical proficiency. These technologies facilitate streamlined access to pertinent data, the formulation of precise inquiries, and the rapid unveiling of insights tailored to the specific business context.

Furthermore, while the primary emphasis of augmented analytics is on empowering non-technical users, it equally enhances the capabilities of analysts and advanced users, expediting their data analysis and preparation tasks.

The image below will explain the benefits of Augmented Analytics in Business Analytics.

Benefits of Augmented Analytics

What is a Self-Service Business Analytics Tool?

Self-service Business Analytics tools are the new normal! Therefore, if you don’t have a big BA team there’s nothing to worry about. These tools are quite significant for small-scale businesses whose life cycle has just started but are quite profitable. Premium start-ups have already started assimilating utilizing these tools and in 2024 there will be a massive outbreak of using these tools. Infocleanse shares data that says by 2026 the market for self-service Business Analytics tools will rise up to $14.19 Billion.


Let’s see the primary features of these tools:

Self service Business Analytics Tool

Top 5 Business Analytics Tools for 2024

Business Analysts use certain tools that acquire and interpret massive volumes of unstructured information from multiple sources both internal and external. These tools are known as Business Intelligence tools and are used for gathering data and obtaining information primarily through inquiries to measure analytics in business. With the integration of AI, ML, and NLP, BI tools are on a mission to provide advanced results with any inquiry. 

In 2024, these BI tools will be major assets for Business Analysts:


Tableau: 

Tableau BI tool dedicated to data exploration and visualization


Tableau stands as a robust BI tool dedicated to data exploration and visualization. This sophisticated software empowers users to promptly assess, visualize, and share data without necessitating IT intervention. It offers a seamless blend of self-service capabilities coupled with a strong emphasis on accountability. Tableau helps you to tackle challenges, secure in the knowledge that you possess precise and current data within a secure collaborative environment. Furthermore, Tableau seamlessly integrates with diverse data sources, including Microsoft Excel, Salesforce, Oracle, and Google Analytics.


Key Benefits of Tableau BI tool dedicated to data exploration and visualization

Pricing: 

  • Tableau Viewer: $15/month
  • Tableau Explorer: ($42/month)
  • Tableau Creator: $70/month

DOMO:

DOMO Customizable applications for efficiency and scalability


Domo integrates data with customizable applications from the Domo Appstore, enhancing business efficiency and scalability. It empowers faster analytics and value-added activities, while also facilitating predictive analysis through R/Python scripts. Plus, it promotes data connectivity, machine learning, AI, and employee-driven data exploration.


DOMO Customizable applications for efficiency and scalability key features

Pricing: Domo offers a free plan but the paid plans are not specified. You have to raise a quote to learn the price. 


Microsoft Power BI:


Microsoft Power BI cloud-compatible solution


Microsoft Power BI, a product of Microsoft, offers a versatile, cloud-compatible solution. It quickly transforms data into actionable insights, streamlining operations and integrating with various data sources like Facebook and Oracle for fast report generation. Noteworthy features include AI capabilities, Excel compatibility, data interfaces, encryption, and real-time access monitoring for enhanced advertising optimization.


Microsoft Power BI cloud-compatible solution key features

Pricing:

Microsoft Power BI offers a free start. Paid plans include:

  • Power BI Pro: $9.99/month/user
  • Power BI Premium: $20/month/user
  • Power BI Premium (per capacity): starts from $4995/month

Dundas BI:

Dundas BI business intelligence solution


Dundas BI, recently acquired by Insight Software, is a web-based business intelligence solution with a rich history spanning more than two decades. Dundas BI delivers integrated analytics, driving improved success rates, revenue growth, and customer satisfaction. Its user-friendly interface allows independent data analysis. Originating in the early 1990s, Dundas BI has evolved into a robust modern analytics platform with enhanced dashboards, reports, integration, ETL, and pixel-perfect reporting for seamless business process integration.


Dundas BI business intelligence solution  Key features

Pricing: You have to raise a quote


Sisence:

Sisense business intelligence system

Sisense stands as a scalable and user-friendly business intelligence system, offering a unified platform encompassing three pivotal solutions: Analytics, Embed, and Infusion Apps. With the capability to extract data from diverse sources, including Google Analytics and Salesforce, Sisense employs in-chip technology for expedited data processing. Furthermore, it facilitates seamless sharing of reports and dashboards, both within and outside the organization. Sisense simplifies the journey through each operational stage, enabling businesses to harness the full potential of BI analytics, thereby enhancing the overall value delivered to the company.

Pricing: Sisense offers testing without any upfront costs. Pricing details are not outlined. To discover more, please request a quote.


Conclusion

To wrap up, the more technology evolves more advanced will be the market for Business Analysts. With superior BI tools and exclusive analytical minds, Business Analytics professionals are coming up with essential tricks to crack every challenge and are ready for 2024 with a new zeal!

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