Waste Water Analytics

Effluent water quality has always been a key driver for the waste water treatment industry. While new standards over the years have sought to improve the quality, point source discharges continue to be a significant contributor to degradation of surface water quality.

Plant operators have invested in technology and equipment to help better manage water quality and discharge levels. As a result there has been a dramatic increase in operational costs such as energy consumption, cost of chemical treatment of sewage and greenhouse gas controls. As plant operators try to balance quality standards, discharge levels, emissions and operational costs, the need to automate optimization and dynamically and efficiently manage the day to day running of the plant is fast becoming an essential requirement.

Viridyan Enterprise Plant Analytics (EPA™) Platform

Viridyan is a software and data analytics firm based in the US, Singapore and India that specializes in predictive analytics for the water industry. The EPA™ platform has been deployed in the US, Oman and India. It has an asset based structure, with its models and algorithms geared for troubleshooting and plant optimization. It is being applied to full scale plants, storage and distribution, collection systems in Water and Wastewater Utilities and Chemical industries. The purpose is to identify and implement strategies optimize plants to reduce operating and life cycle costs while complying with permits for nutrient removal and reuse.

The EPA™ platform can model specific equipment such as tanks and pumps, each specific hydraulic configuration based on tanks, pipes, pumps and valves in or out of service within each process in the plant. This helps understand how availability of assets affect operations. It can be run at the whole plant level to optimize operations across the primary, secondary, tertiary and solids handling systems; identify strategies to simultaneously improve operations and maintenance. 

Unique Features:

• Advanced mathematical techniques ensure higher accuracy for simulating actual effluent data.
• Ability to reflect any possible configuration in the plant as determined by a pump, clarifier, filter, blower, membrane, or tank which is out of service.
• Dynamic and real time optimization for equipment and tank availability.
• Physio-chemical biochemical pathways in each process, to analyse their interdependencies, and run 100 to 1,000+ combinations for the whole plant to identify the best combination of set points across the plant or enterprise.

Operational Benefits for the Utility:

• Minimizes the Operating and infrastructure cost.
• Provides real time data for inspection and feedback to SCADA Operators, Maintenance and Utility asset managers.
• Improves Trouble shooting & performance prediction.
• Ensures Energy-chemicals management, Asset utilization and risk management.

Solution Schematic:

2. Banking Analytics

Early Warning System

Most commercial banks deal with SME’s, where there is an absence of publicly available information to track current performance and estimate future performance.

In this context, customer level data such as Monthly current asset statements, quarterly performance updates, limit utilization, limit excess and overdraft reports are integral to assess signs of stress.

Traditional monitoring techniques and indicators require manual assessment and oversight and are frequently prone to errors and not repeatable and automated.

Challenges are also faced with regard to capturing of account level remarks for flagged accounts, account strategies since these are stored in simple excel sheets with a poor audit trail. Senior risk officers often have to depend on presentations and excel sheets for their decision making.

In the event of default, it is imperative to quickly formulate the recovery or rehab strategy through correct analysis of collaterals, guarantees and other documentation. It also a good practice to evaluate the performance of triggers with respect to their timeliness and effectiveness of detecting and preventing defaults.

Key Deliverables:

Track corporate customer level data for Corporate/ mid-market/ SME clients on a monthly basis and generate actionable alerts using proprietary triggers for correlation and potential risk scenarios.

Flagging the potential threats so that the necessary precautionary measures can be taken before the default takes place.

Streamlines customer performance data across existing bank systems into one single risk intelligence application.

Key Solution Features:

• Integration of Credit Decision Points into one single system
• Ability to create triggers based on Current Asset levels, core banking data and external data feeds.
• Obligors breaching triggers to be auto flagged for remarks, actionable and discussion between stakeholders such as Analysts, Business and Risk.
• Automatically stress test portfolios based on macro-economic parameters such as GDP, Currency rates and Oil prices
• Generate single page obligor level snapshots to capture all key information such as background, financial summary, trigger breach analysis and account level strategies.

Enterprise Risk Management Dashboard for Large Banks

While there are sophisticated systems in each of the major verticals that exist in banks, there is no system which brings out a meaningful analysis of the health of the bank as a whole. The Altovue™ platform system collects data across these vertical “pillars”, transforms and interprets risk factors throughout the bank

The platform is able to provide alerts and warnings for any logical and illogical correlation of data across all verticals in the bank and assists the top management in decision making. The CEO and senior management of all banks periodically receive MIS reports from all verticals. Typically, these are decks prepared at the Functional Units and get rolled up to countries, regions and then to the bank as a whole. The compiled set of reports are voluminous and it is not humanly possible to meaningfully evaluate them and derive insights and come to actionable conclusions for the bank as whole. Furthermore, it is impossible to compare the findings to other time period or perform predictive analyses for future risk mitigation.

Key Solution Deliverables:

Help CROs and CxOs comprehend enterprise wide risks and their impacts.
Correlate and assess risks from disparate data sources and present in a single interactive dashboard using tailored algorithms and metrics
Organization of KPIs/ Risk areas in hierarchical form, generation alerts for high risk areas, allow drill down to metrics behind risk KPIs

3. Internal Audit Analytics

The process of accessing, monitoring and managing data is an evolving one. The majority of companies do not have the time or in-house skills to do this effectively. It is not a core competency for most businesses, but it is for Viridyan Technologies.

In the past Internal Audit was focused only on financial audits using samples, however in an IT driven world, a huge amount of data is available across multiple, disparate systems which needs to be collated, correlated and analyzed regularly to objectively assess risk and derive meaningful impacts. It is an imperative that Internal Audit teams are equipped with applications which can interface efficiently with these data sources. IA departments can then perform accurate and timely analyses regularly and in an automated manner to deliver tangible results.

Key Deliverables

• Reduce Cost of Internal Audit and related IT & 3rd party services through automation and continuous monitoring functionality
• Minimizing risk of fraud through asset misappropriation, corruption, fraudulent financial reporting, and integrity risks
• Instantaneous detection of data errors, missed SLAs, security violations, business policy violations, incorrect certification
• Sandbox for audit team to independently access, analyze and investigate risk related data

4. Platform for SME Analytics (“Analytics in a Box”)

Viridyan Technologies offers a comprehensive business intelligence solution that provides organizations powerful and actionable insights into their business. The solution features an intuitive interface that provides a unified view of information across lines of business, time, and geographies. The framework has been designed specifically to usher in a new era in Enterprise Application architecture expressly designed for Mobile, or Cloud. All components of the architecture are the result of organic growth from a single architectural baseline. The integrated architectures provide a single view of the organization.

Key features

• Class-leading, best-of-breed BI features, information capabilities, security mechanisms, and protocols
• Personalized, user-friendly, visual analytics dashboards and flexi-view information At-a-glance KPI summaries, data views for multiple measures, charts and pictorial views, definable business rules and exception alerts, and drill down capability for quick anomaly and trend spotting
• Analytics on-the-go with personalized iPhone/mobile dashboards for access to critical business information anywhere, anytime
• Ad Hoc and Custom Report Creation and configuration
• Rich and pixel-perfect export options Tables and charts can be exported to Microsoft Excel, Microsoft PowerPoint, PDF, MHTML, etc.
• Enterprise-class scalability