11 Tips for Getting the Most Out of Data Analytics Services

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The Global Big Data Market achieved a worth of $271.30 billion in 2023. By 2032, it is estimated to reach a worth of $624.27 billion. This represents a compound annual growth rate of 14.9%.

In an increasingly modern digital age, data is all around us. But it’s what we do with this data that is the most important. Data analytics helps drive the decision-making process of many businesses and services.

Utilizing data analytics services allows you to make the right choices to help your business succeed. To learn how to get the most out of your data analytics services, keep reading below for 11 helpful tips.

1. Define Your Objectives Clearly

The first step to getting the most out of your data analytics services is by ensuring that you have clearly defined objectives. Look at your business to find any issues or questions you want to address with data analytics. 

You will also need to have a clear understanding of your business’s unique goals, as well as any specific insights you hope to obtain by using data analytics services. Doing this will then allow you to define your key performance indicators (KPIs).

Examples of KPIs in data analytics include:

  • Data Accuracy Rates
  • Data Processing Times
  • Data Completeness
  • Conversion Rates
  • Operational Efficiency

Clearly defined objectives, along with well-defined KPIs, can help you set and measure your overall campaign success criteria. 

2. Verify Data Quality 

Because data has a vital impact on the decision-making process of your business, it is crucial to ensure that the data you’re receiving from your data analytics services is of the utmost quality. Using poor-quality or inaccurate data can have a negative effect on the way you do business.

Computer systems often follow a protocol of “garbage in, garbage out”, meaning if you feed them inaccurate or poor-quality data, the results they produce will also be along the same lines.

To get the most out of your data analytics services, you will need to establish a system of data quality standards. Performing regular audits of data sources can help boost data quality. You can also implement data validation and cleaning processes to scrub inaccurate or poor-quality data to ensure its accuracy.

3. Understand Your Data

Even the best-quality data doesn’t mean much if you don’t have the proper knowledge of what it means or how to utilize it. That’s why it is important to familiarize yourself with your data.

To do this, you need to understand the true nature of your data. This includes the sources where you obtain your data from. You will also need to have an understanding of any potential biases that may come from this data and its sources to make the most informed decisions. 

Conducting exploratory data analysis will allow you to have a better understanding of patterns and trends, as well as any potential data outliers. You can also document metadata, the data that describes other data, and its context to further aid in the learning process.

4. Choose the Right Tools 

Tools can be a great asset when used in conjunction with your data analytics services, but not all data analytics tools are created equally. Some tools may also not be appropriate for your unique needs.

You need to evaluate your data analytics tools based on the factors most relevant or important to you. For instance, ease of use can be a big factor for many. You’ll also need to consider aspects such as scalability and overall compatibility with your other data sources such as mobile apps.

In this case, you may need to choose tools that offer integration capabilities with other systems in your company.

5. Utilize Insight Data Visualization Tools

The right data analytics tools also make your data easier to view and understand by putting it into other more user-friendly formats. Data visualization tools don’t just list static facts and figures.

They display them in a way that is visually appealing and easy to see with pie charts, graphs, maps, interactive indicators, and other visual representations. Data visualization tools are especially beneficial in areas like the Healthcare Industry.

Using data visualization tools allows you to easily communicate complex findings in a simple and more accessible manner. This can facilitate better decision-making.

For instance, a study by Robert Horn at Stanford University found that 64% of attendees in a meeting were able to take action right away after viewing an overview map.

It’s essential to tailor these visual insights properly to the right audience. This will ensure that the right insights are being conveyed in a way that is easily understandable. 

6. Consider Data Collaboration Efforts

Data analytics services should not be viewed as exclusively isolated efforts, but rather as one integrated facet of a business’s larger strategy. Integrating your data analytics into other areas of your business creates an opportunity for collaborative efforts.

By leveraging collaborative efforts through data analytics, you can foster a culture of teamwork. Tapping into insights from data professionals, subject matter experts, and decision-makers will enhance your data analytics and perspectives.

Implementing collaborative data efforts creates a more holistic approach within your business. A holistic data analysis approach is when all of your systems are intertwined, instead of separate entities.

Be sure to use effective communication channels to share insights and findings across different teams.

7. Regularly Update Your Skills

Technology is rapidly advancing more and more each day. So it is imperative to stay up-to-date on these changes, particularly as they relate to your business’s specific industry. It is also important to stay updated on the latest innovations in data analytics tools and techniques.

The data analytics industry is a dynamic field, especially pertaining to big data analytics services. Focusing on potential advancements can give you a competitive edge. This includes any areas where you can maximize and optimize your data analytics services and skills. 

If there are any special certifications or training programs that can help you or your team learn new software or techniques, you should take advantage of them to further update your data analytics skills. 

8. Plan for Scalability

To get the most out of your data analytics services, it is also important to find the right solutions and tools that can grow with your business. Choose analytics solutions that can handle growing volumes of data without sacrificing performance.

You may even want to consider cloud-based solutions. Cloud-based solutions don’t rely on a fixed system, so they offer much more scalability and flexibility. You can easily upgrade services as you go to easily meet a growing demand. 

9. Prioritize Security Protocols

According to data from the FBI’s Internet Crime Repoty, 800,944 cybercrimes were reported in 2022. Data breaches and cyberattacks can damage your business’s reputation with clients and customers. They can also be costly to repair in terms of fees, fines, and settlements.

Your sensitive company data should belong to you and you alone. Don’t let it fall into the hands of cyberattackers. When managing your data analytics services, it is paramount to implement the proper security protocols like encryption, firewalls, and access controls, to protect sensitive data.

You also need to verify that your data collection and analytics policies comply with all of the necessary data protection regulations. You need to ensure that you meet location and industry-specific compliances such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). 

10. Focus on Continuous Improvement

When utilizing data analytics services, it is important to also have an iterative approach. This means that your data analytics goes through a continuous process of improvement and refinement. Just as your job learning and updating your skills is never done, the same goes for data analytics in general.

After each iteration, data lessons about the process can be learned. This helps identify what is working well and what needs to be changed so the process can be refined. This allows for more accurate data and leads to more valuable insights over time.

Following an iterative approach also allows your data to adapt to any necessary changes. Areas of potential change may involve your business objectives or requirements, as well as data sources. 

11. Monitor and Evaluate Performance Levels

The last tip for getting the most out of your data analytics services is to regularly monitor the performance of your analytics solutions. With changing technologies and insights, it may be necessary to reassess your business objectives and adjust your strategies more frequently to stay on top of current trends.

Set up monitoring mechanisms to track the performance of your analytics models and systems. By regularly evaluating the relevance of your data analytics initiatives, you can track their effectiveness over time. This will allow you to adjust your strategies as needed to address your changing business objectives.

Enhance Your Business With Data Analytics Services From Synaptech Today

Data analytics services are essential for helping you track and manage your important data to make the best data-driven decisions. But if you’re not sure how to properly navigate the complexities of data analytics, turn to Synaptech. 

Synaptech’s data analytics consulting services can help you unleash the power of your data. Our comprehensive solutions allow you to manage data analytics more effectively. From data visualization and reporting to predictive analytics, machine learning, and more, our services can take your data to the next level. 

Contact us today to discuss your custom software solution needs and schedule a free IT consultation.

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Custom Wearable Watch

Case Study: A Custom Wearable Watch for Monitoring Heart Rate, Body Temperature, and Sudden Falls


The wearable industry is constantly growing and evolving, with new products being introduced every year that offer more and more advanced features. Our custom wearable watch is a cutting-edge product that integrates a range of sensors to monitor vital signs and detect sudden falls, providing critical information to keep the wearer safe and healthy. In this case study, we’ll delve into the features of the watch and the IoT development life cycle that we used to build it.

Integrated Sensors

The custom wearable watch integrates heart rate monitoring (HRM), temperature sensing, and an accelerometer to track a range of health metrics. The HRM provides real-time monitoring of the wearer’s heart rate, while the temperature sensor tracks the body temperature, and the accelerometer detects any sudden falls. These sensors work together to provide a comprehensive picture of the wearer’s health, giving them and their caregivers peace of mind.

Tiny Lithium Ion Battery

The watch runs on a tiny lithium-ion battery, which provides long battery life and ensures that the wearer never has to worry about the watch running out of power. The battery is easy to charge, and the watch has a low-power mode that extends the battery life even further.

LoRa-Based Long-Range Communication

The watch collects data regularly and sends it over LoRa (Long Range) WAN, which is a sub-gig RF frequency (868 MhAZ). LoRa is touted as one of the best protocols for IoT and is ideal for battery-powered devices due to its low power consumption and built-in security features. This long-range communication capability ensures that the data can be transmitted over long distances, making it ideal for monitoring the wearer’s health even when they’re away from home.

Backend Analysis and Emergency Assistance

The data collected by the watch is transmitted to the backend, where it is analyzed to provide a general health assessment of the wearer. This information can be used to alert caregivers or emergency services if necessary, providing critical assistance in the event of a sudden fall or other health emergency.

Proof of Concept and Design

We participated in the complete design and proof of concept phase of the wearable watch, ensuring that the product was optimized for performance and user experience. Our team of engineers and designers worked together to create a product that is both functional and aesthetically pleasing, making it a great choice for anyone looking to stay safe and healthy.

IoT Development Life Cycle

The development of the wearable watch was guided by the IoT development life cycle, which involves several phases including planning, design, development, testing, and deployment. Our team followed this process to ensure that the watch was developed to the highest standards and that it would meet the needs of users.


Our custom wearable watch is a cutting-edge product that provides real-time monitoring of vital signs and detects sudden falls. It integrates a range of sensors and runs on a tiny lithium-ion battery, and it transmits data over LoRa-based long-range communication for comprehensive health analysis and emergency assistance. We participated in the complete design and proof of concept phase, and we followed the IoT development life cycle to ensure that the product was developed to the highest standards.