As one year draws to a close, it’s always a great time to reflect on how the past informs the future and what might be coming next. At Sightline, we are always thinking about how to make data intelligence tools better, more comprehensive, easier to understand, and more secure. Based on our experiences and what happened in the past year, below are some of the insights and trends we expect to see in data analysis for 2022.
Whole-Picture Insights Based on Real-Time Visibility and Contextual Data
Data is critical to functional, fact-based, and effective operations in nearly every department or group in your organization, but data is meaningless without analysis and it is unrealistic to expect every member of your staff to be expert data analysts. In addition, the past year created significant employment crunches, offered unexpected hurdles in supply chains, and required operations and decision-making to move even more rapidly to respond to these challenges.
In 2022 data analysis, organizations will expect their software to be able to deliver job-relevant insights quickly and visually to team members who don’t have a technical background in data science. With workers stretched increasingly thin, data analytics software solutions that can bridge the gap between big data and decision-makers by offering data visualization and contextual data will be heavily valued. Both manufacturers and critical infrastructure organizations will benefit from being able to see up-to-the-minute analytics layered with business data such as productivity, quality of goods, and financial implications. Together, timely analytics and contextual data offer a real, whole-picture view of operations and allow for quick action.
Embedded Predictive Analytics and Dynamic Machine Learning
More than 20 years into Industry 4.0, big data management tools have streamlined gathering, organizing, and analyzing vast amounts of data from IoT. First, data analytics software made it easier to do look-back analysis to see what happened in the past, then they progressed to real-time reporting and analysis, and the next step is getting better at looking ahead to see what is coming. Going forward, data intelligence tools will be expected to have predictive analytics and AI and dynamic machine learning embedded into the system.
The ability to accurately predict future maintenance needs, conduct capacity planning, and see where issues might arise, mean being able to adjust operations in a way that maximizes efficiency and decreases downtime. With advances in machine learning and AI, organizations will be able to leverage improved insights into future behavior. Machine learning that is able to incorporate additional data as it comes through data analytics software solutions, makes connections, and learns from the insights gained, means organizations can effectively automate incremental improvements. By visualizing that information and delivering it to the correct person along with contextual data, as described above, data intelligence tools of the future can help empower employees at every level to prevent problems rather than simply reacting when they occur.
Leveraging Data Intelligence Tools in Cybersecurity Aquaculture Monitoring
A quick scan of headlines in 2021 will remind us that cybersecurity is becoming an increasingly vital piece of IT infrastructure, including IoT and data intelligence tools that will inevitably connect to IP networks, cloud networks, and mobile devices. Malicious actors might not be a new force to contend with, but technology advancement always means new vulnerabilities organizations might not expect. Most ICS systems did not build in cybersecurity and now that means hackers can use those security holes to wreak havoc on unsuspecting organizations.
The unfortunate reality is that IoT not only gives critical infrastructure organizations valuable information to prevent catastrophes and improve efficiencies, it also gives hackers additional entry points. In 2022, data intelligence tools will need to pull double duty to increase efficiency and also help defend these holes in security for OT. Data analytics software can use anomaly alerts to detect potentially malicious changes in data while root cause analysis can quickly dig into why and where an issue occurred. Using predictive analytics and machine learning, software systems can use the massive amounts of data coming in to better predict where vulnerabilities might lie and when and where a security issue may arise. Ultimately, these tools can help place the power of IoT data back in the hands of your organization and take that power away from those who want to hurt your operations.
Sightline EDM Data Intelligence Tools Are Designed for the Future
Sightline EDM is a powerful and comprehensive data analytics software solution that leverages AI in data monitoring and analysis to help you achieve the highest operational efficiency possible.
With real-time data monitoring through big data management tools, Sightline EDM provides anomaly detection with alerts when there are any deviations from an organization’s designated process parameters. Drilling down into those anomalies, Sightline EDM uses an advanced correlation engine to conduct fast root cause analysis to deliver information on where and why an anomaly occurred and let you correct it as quickly as possible.
Because forward-looking insights are becoming increasingly in-demand as we approach 2022, Sightline EDM uses predictive analytics tools that leverage dynamic machine learning and AI to consistently improve forecasting and outlooks. This accurate forecasting positions users to take advantage of opportunities and minimize negative impact to stay ahead of competitors and prevent downtime or cost overruns.
To help you see the insights contained with your raw data, Sightline EDM offers simple data visualization, contextual data that can be layered on top of OT data, customizable dashboards, and customized access to individual or groups of users. Together, these tools mean the right people on the right teams can be empowered to quickly and easily access insights from your data that are meaningful to their specific job function.
Built-In IoT Security Solutions
Sightline EDM also offers SIAS, a cybersecurity solution that leverages the data intelligence tools in Sightline EDM and combines them with Unisys Stealth Zero technology for truly effective ICS cybersecurity. Multiple security layers are fully integrated into Sightline EDM, seamlessly improving IoT device security and open source code security across all facilities. Security layers in SIAS include:
- A zero-trust approach that automatically verifies anything that tries to connect to your system by leveraging microsegmentation.
- Encrypting all data components during transit and using end-point cloaking to keep data contained in your system safe.
- ICS monitoring, anomaly detection, and dynamic isolation that monitors your data to detect malicious users quickly, flag them for your attention through custom alerts, and automatically lock them out of the system, limiting the damage.
- Cryptographic zones where data contained within that zone is encrypted.
- Individualized access for users on Sightline EDM that authenticates both the user and the device being used, limiting that person only to functions they need to perform their duties.
SIAS’ multiple layers of protection make it much harder for anyone with malicious intent to cause harm to your organization and buys your team valuable time to correct any damage before it has a chance to impact your bottom line.
Instantly schedule a no-hassle conversation with one of our solutions experts to discuss how Sightline EDM’s data intelligence tools and SIAS’ cybersecurity protections can help your organization grow its data analysis in 2022. Book a conversation.
FAQs:
In 2022 data analysis, organizations will expect their software to be able to deliver job-relevant insights quickly and visually to team members who don’t have a technical background in data science. With workers stretched increasingly thin, data analytics software solutions that can bridge the gap between big data and decision-makers by offering data visualization and contextual data will be heavily valued.
With real-time data monitoring through big data management tools, Sightline EDM provides anomaly detection with alerts when there are any deviations from an organization’s designated process parameters. Drilling down into those anomalies, Sightline EDM uses an advanced correlation engine to conduct fast root cause analysis to deliver information on where and why an anomaly occurred and let you correct it as quickly as possible.
– A zero-trust approach that automatically verifies anything that tries to connect to your system by leveraging microsegmentation.
– Encrypting all data components during transit and using end-point cloaking to keep data contained in your system safe.
– ICS monitoring, anomaly detection, and dynamic isolation that monitors your data to detect malicious users quickly, flag them for your attention through custom alerts, and automatically lock them out of the system, limiting the damage.
– Cryptographic zones where data contained within that zone is encrypted.
Individualized access for users on Sightline EDM that authenticates both the user and the device being used, limiting that person only to functions they need to perform their duties.