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A Reactive Approach to Security can Catch Insurers Off-guard.

On July 2018, SingHealth, the largest network of healthcare institutions in Singapore, had been under a severe cyber-attack and the personal data of around 1.5 million patients, including those of Prime Minister of Singapore, Lee Hsien Loong, was stolen. – Straits Times reports

The insurance industry is one of the richest data-driven business, and the consequences of a data breach extend far beyond the reputational damage that results from negative news headlines.

Insurance companies: An appealing target to hackers

Data is both, asset and liability, and the business of insurance is based on dealing with various uncertainties. In the past couple of years, the insurance industry performed badly in the cyber-battle. Despite having collected all the sensitive information, technology innovations and new business models caught insurers off-guard.

In September 2017, AXA suffered a cybersecurity breach in Singapore, in which the data of 5,400 of its customers were compromised. Such recent attacks highlight the fact that the companies which collect individual personal data are attractive prey for the cybercriminals.

A single security breach could cost more than a company earns in a year, however many organizations still don’t recognise the vitality of investments to combat the potential data security incidents.

Prevention of Data Breach:

Eugene Lee, director of business development at Connectivity Global, while sharing his insights to Insurance Business; on measures to be taken to mitigate cyber risks said:
“Companies which collect individuals’ personal data are an attractive target for cybercriminals and these companies should ensure that necessary steps are taken to mitigate these cyber risks.”

The insurance industry cannot afford to take a reactive approach. The insurance industry is entrusted by the customers with a vast array of non-public, personally identifiable information. By securing the customer and their financial data will not only protect the brand reputation but also add to the profitability.

To combat with the incidents of a security breach, the insurance firms must ensure that the policy and procedures relating to cybersecurity are clearly communicated to the workforce. They must formulate a sound response plan to recover their assets in case of an event of a breach.

According to the World Insurance Report 2018, Apple is partnering with CISCO, Aon and Allianz on cyber risk management solutions to protect the middle market and other enterprises from malware and ransomware.

The insurance company should prioritise its investment in efficient, professional, and specialized IT teams and consultants, to deal with new emerging threats.

A digital committee is the need of the hour for every Insurance organization.The Insurance Regulatory and Development Authority of India is requiring all insurance companies to appoint a full-time CISO. The CISO helps to understand the IT infrastructure and operations and build effective security in IT across the organization in support of business requirements and objectives.

Effective E-mail security solutions should be adopted, as over 90% of the malware are transmitted over this most common channel for business communication.
An AI approach for security in insurance is the new wave of innovation. AI adds to the power and speed required to tackle huge volumes of attacks of countless variety. One such application is Connectivity Global’s Receive Guard product, which is an AI-enabled email security solution.

No one has a crystal ball this accurate, to make future predictions as to how many data breaches we will see in the not so distant future, and how big are they going to be.
However, Insurance firms must rapidly increase their agility to adopt these new business models; to cater to the security breaches in insurance, evolving customer preferences and to deliver definitive business value.

https://www.insurancebusinessmag.com/asia/features/interviews/protecting-the-insurance-sector-from-cyber-threats-109124.aspx

https://www.businessinsurance.com/article/20180205/NEWSO6/912318975

World Insurance Report 2018

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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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