How Can Enterprises Effectively Manage the Demands of Continuous Data Analytics in Enterprises?

The significance of continuous data analytics in enterprises is clear for businesses. The ability to utilize insights from data in real time has completely changed the game for enterprises, allowing them to maximize performance, improve profits, and make informed, strategically driven decisions.

A recent study indicated the big data analytics market crescendoed to $103 billion in 2023. As companies continue to create staggering amounts of data each year, it is predicted the total global data created, stored, and consumed will surpass 180 zettabytes by 2025.

However, aligning with the growing demand regarding data analytics is more than simply the utilization of data, it's having the capacity to analyze pertinent data, it's more than having the bandwidth to keep pace with analytics in real time requires a strategic plan, managed services, and skills.

Like a skilled conductor leading an orchestra, a managed services partner can orchestrate the complex symphony of data analytics, helping enterprises navigate challenges, extract valuable insights, and drive success.

Challenges Faced by Infrastructure and Solution Management Teams

A wide range of challenges confront infrastructure and solution management teams when supporting continuous data analytics, as well as maintaining the data analytics platforms. The challenges are related to the following issues:

1. Scalability: As the data volume and analytics needs grow, infrastructure and solution management teams must ensure that data analytics platforms are properly scaled to handle increased workloads. An implied aspect of scaling an infrastructure will include management of storage and processing; those are important to meet the increasing demand and are often difficult to scale.
2. Data Quality and Integration: Maintaining quality data and integrating data from multiple sources can be quite challenging. Infrastructure and solution management teams must ensure strict data governance is in place, data cleansing and transformation and proper integration of disparate data sets.
3. Performance Optimization: Data analytics platforms need continual performance monitoring and optimization to produce timely and accurate insights. Thus, system performance teams and solution managers become responsible for tuning hardware, software configuration, and database performance to keep systems operating optimally.
4. Security and Compliance: Protecting sensitive data and ensuring regulatory compliance with industries are critical. Companies must undertake the task of:
   • Enforcing security controls
   • Implementing access controls
   • Encrypting data
   • Conducting audits to secure data and to stay compliant
5. System Maintenance and Upgrades: As data analytics platforms require periodic maintenance and upgrades, teams have the responsibilities of timing upgrades properly, testing upgrades, and managing version control while limiting disruption to ongoing analytic activities.
6. Skills and Resources: Enterprises often face questions than answers about building and maintaining a capable team to manage complex data analytics platforms. Often, enterprises still have the challenges and costs of training and development programs. Today's enterprise team has a "difficult and constantly evolving change" in the evolution of technology. According to a PwC survey of over 4000 organizations, one of the biggest people-related challenges is identifying worker skills to support technological evolution.

How Can Emergys' BI Managed Services Help?

In a study conducted in 2022, organizations using managed services were able to decrease IT expenses by 45% and increase operational efficiencies by 65%. A managed service partner such as Emergys has the expertise to monitor, optimize, and further enhance data Analytics platforms and infrastructure. We do not wait for stakeholders to express dissatisfaction; we proactively ensure that the data Analytics function produces results and that problems are flagged and debugged before impacting company operations.

Emergys' BI-managed services include an array of services that can greatly support organizations with each step in business intelligence (BI). With these services, 24×7 monitoring, optimization and support, and platform upgrades are possible. For instance:

• We help organizations deliver data warehouse implementations. We can help organizations select the appropriate ETL (Extract, Transform, Load) and BI products that fit their needs.
• We have specialization in Visualizations and dashboards to make raw data actionable; our team combines the latest tools and technologies to produce visual analytics reports for your data as a whole so that you can make decisions right away. Key pieces of information are presented in an aesthetically pleasing and easily understood method.
• With our 24×7 asset monitoring, organizations can have their real-time data displayed while learning about valuable insights and making strategic decisions to leverage business performance.

  Our asset monitoring contracts are managed 24×7 and offer clients continual access to their real-time data, invaluable insights, and decisions that impact business performance.

Winning with Managed Services

Emergys is the trusted partner for enterprises that want to strategically manage the demands of continuous data analytics. Our strength is combining and visualizing data using state-of-the-art technologies and best practices. With a focus on enterprise-wide analytics, our clients can make decisions now that directly impact on their competitive advantage.

Our asset monitoring contracts provide clients with never-ending data insights with 24/7 access to real-time visibility into data. Additionally, our dashboard designs and business intelligence applications allow clients to maximize the value of their data and improve their results.