Retail Sales Analytics

Locus IT’s sales analytics solutions offer deep insight into what products the customers want and how to reach those customers with targeted promotions. An unprecedented amount of the data is available today and you need the solutions that analyze multiple data sources to provide insight to compete effectively. Locus IT’s expert solutions provide fast, business relevant information when you need it using internal customer sales, product data and readily available external data.

Use all market, product and customer data available, both internal and external, to gain social insight into markets

INCREASE SALES
Enhance customer experiences and increase sales revenue with new product designs and targeted promotions.

IMPROVE EFFICIENCY
Improve procurement process and buyer’s efficiency through better understanding of customer preferences and buying habits.

Locus IT Sales Analytics solutions give you a competitive advantage by providing insight into customer buying habits through analysis of multiple data sources. Examining what social chatter tells you, along with the sales data analysis, leads to accurate sales forecasts and increased revenues.

Fraud Analytics

Detect and prevent fraud and financial crime before it happens, while investigating and mitigating the financial impact in the event it does occur.

Locus IT’s expert consulting team is well-versed with IBM tools. IBM Fraud and Financial Crimes Management is designed to bridge the technology and intelligence gap to help organizations spot financial crime patterns early, and enable them to implement countermeasures more quickly to protect the institution and clients against financial fraud.

IBM Multi-Channel Fraud Analytics for Banking

IBM AML MONITORING AND ANALYTICS FOR BANKING
Augment and enhance exisiting Anti-Money Laundering (AML) programs with rich analytic functions including the entity resolution, event triage and the alert enrichment. Both reduce false positives and accelerate fraud investigation.

Cyber Analytics

At Locus IT, we offer a collection of services that dig deeper into your network to identify unnoticed activity that may be silently attacking your infrastructure. Our experts work collaboratively to understand your needs and recommend a fine-tuned engagement to address existing concerns and provide an objective assessment of your security preparedness.

THREAT INTELLIGENCE SERVICE
Taking a deep dive into your security landscape and the position, we analyze your level of preparedness and provide recommendations to resolve the vulnerabilities and protect your network from the suspicious threats

CYBER HUNTING SERVICE
We apply our best and brightest talent and methodologies to collect and analyze your network data, pinpointing suspicious activity indicative of a threat before it can impact your business.

SECURITY OPERATIONS CENTER SERVICE
Our tier 2 and 3 security analysts augment your security operations staff to assist in denying, disrupting and containing the cyber attacks from impacting your network operations.

DISCOVERY WORKFLOW ENGINEERING
We leverage both technical analysis and development to answer your most important questions regarding the hardware, software and the data flow components of a system, learning the details of how they interact with one another until we know it inside and out.

NETWORK ANALYSIS
We leverage a well-known and respected network analysis capability within the Intelligence Community that allows us to know a network inside and out and enables continued success for mission customers across a wide technical landscape.

SIGNAL PROCESSING
All organizations need to be informed of the security status of their devices. Our digital signal processing utilizes the pattern matching and the machine learning (ML) to help the organizations quickly examine, classify and triage the attempted break-ins to mobile devices.

MALWARE ANALYSIS
We work to prevent and mitigate the malicious activity on your network. Our specialized solution includes our own proprietary network security device, which permits a flawless network unification while also keeping the bad guys out and your business safe.

CLOUD ANALYTICS
Combining the in depth technical knowledge and expertise of Hadoop, MapReduce, Giraph, Spark, and other cloud technologies, our experts create analytics that combine data in new ways. We help you convert cloud-based data into actionable information to support your corporate and technical missions.

Supply Chain Analytics

Complex world, with follow-the-sun supply chains, hyper-connected partners and expectation of an exceptionally responsive service has pushed organizations to redefine how they run and measure their Supply Chains. With top line growth plateauing, there is more scope for organizations to increase profitability by optimizing their Supply Chains and Analytics is fast emerging as a key enabler to do so. The use of the business analytics in Supply Chain processes has become more prevalent over the years. Organizations want to get insights into their Supply Chains and make data-driven decisions, instead of working on best-guess operations.

HOW LOCUS IT HELPS
Locus IT’s Supply Chain Analytics offering helps the organizations optimize their Supply Chains to:

Monitor and predict the vendor risk and performance: With an increased reliance on vendors for success, manufacturers are using internal and external data to continuously measure vendor performance
Optimize logistics and route operations: Consumer electronics manufacturers want to minimize inventory levels and push availability across a large swathe of markets
Sense demand patterns: Retailers are using analytical models to ensure that the problems like stock outs and overstocking are avoided
Match supply chain capabilities: Pharmaceutical & Medical Device manufacturers are using segmentation to match capabilities with the requirements of different products, markets and customers.From a Supply Chain perspective, here is how we help:
Vendor Performance & Risk Assessment: As Supply Chains become more complex, the dependency on external suppliers/vendors becomes extremely critical. Moreover, there are several other external factors and sources of information that can affect the future performance of the vendors. We offer a risk model based on external data and ongoing performance to efficiently evaluate and monitor vendor performance to mitigate future risk
Demand Forecasting: With customers expecting immediate responses irrespective of the location or time, you need to meet these needs rapidly, and cost effectively. We use predictive algorithms to better forecast demand based on various internal/external factors and ensure that your Supply Chain is well oiled to cater to these dynamic needs
Spend Analytics: We leverage the machine data analytics to help identify the anomalies in direct or indirect spend. This solution uses analytical models on spend data to find anomalies that indicate potential savings, such as contract non-compliance, rate mismatches, duplicate invoices, and incorrect demand specifications
Inventory Optimization: Our solution aids, the monitoring of the key indicators like stock churn, inventory costs and obsolescence across the supply chain, which is critical to optimize inventory levels while meeting customer demands and service levels
Logistics and Routing Analytics: We help you optimize routing of both the components and finished goods across various nodal points in a global supply chain, which has a dependency on vendors and partners across the globe. Our customers in the transportation industry are specifically using analytical models to optimize vehicle or airline allocations across various sectors and routes.

Cohort Analytics

Cohort analysis is a broad topic and it includes many variations. Lets first give some basic definitions:

Cohort – this is a group of people or events who share a common characteristic over time
Cohort analysis – this is the study of the activity or behavior of a particular cohort or a group of them over time (or other iteration).
In metacode, a cohort analysis is similar to this: ‘take a dataset which has uniquely identified entity (customer in this case), define unique cohorts by which the items can be grouped (in this case we will use the year and month of first purchase), and follow the behavior of the cohorts over time (in this case the sum of the OrderValue for each cohort per timeslice)’.

It may seem a bit complex at first sight: However it is straightforward in practice. In this case we are asking the questions: It may seem a bit complex at first sight: However it is straightforward in practice. In this case we are asking the questions:

‘How do our users behave as they get further away from their first purchase date?’
‘Do they keep buying equally a lot as they did in the first month of their activity, or do they phase out as time passes?’
‘Is there a pattern when we compare the first purchase months of the different cohorts?’

Financial Services Analytics

Locus IT has a team of expert consulting with average of 6 years of experience providing analytics consulting services across diverse financial services and products to achieve increased revenue, cost optimization, customer satisfaction, proactive risk management, and maximized return on marketing spends. We provide impactful outcomes to our clients across their portfolio segments in areas of Retail Banking, Commercial Banking and Capital Markets. We have helped “Industrialize Analytics” across this industry by providing scale, flexibility, and domain knowledge, thus empowering analytical decision making in all levels of our client organizations.

We work with multiple clients in these areas worldwide through a mix of onshore and offshore delivery models. Our strong industry and functional domain expertise, coupled with the use of analytical tools, helps our clients to achieve the key business outcomes of increased revenue, cost optimization, customer satisfaction, proactive risk management, and maximized return on marketing spends.

Locus IT‘s analytics consulting services and solutions revolve around the key business challenges faced by CXOs.

RISK MANAGEMENT
Credit risk analytics and management
Operational risk analytics and management
Regulatory compliance
Capital planning and forecastin

TREASURY ANALYTICS
Market risk analytics and measurement
Derivative valuation
Counterparty credit risk
Asset liability management
Risk and compliance
Model validation

MULTI-CHANNEL CUSTOMER MANAGEMENT
Marketing analytics including cross-sell, campaign management, and loyalty analytics
Contact center analytics and optimization
In addition to the specific functions mentioned above, we provide services in the areas of research, business intelligence and reporting, Master Data Management (MDM), predictive analytics based on methodologies, and innovative tools.

Behavioral Analytics

TO ESTABLISH THE FOUNDATION OF CUSTOMER KNOWLEDGE
Figuring out how customers think starts with knowing – with great confidence and accuracy – what they’ve done, and that’s the typical starting point for behavioral analytics. Clarity in customer profiling is a requirement for the basic transactional insight about who bought what, when and through which channels. It’s also essential to gaining an accurate understanding of which products and customer types are most profitable. And knowing why customers act as they do, which requires the correlating of multiple factors, and is of course the next step along the value curve.

BETTER UNDERSTAND CUSTOMER INTERACTIONS AND DYNAMICS
But behavioral analytics can be more than just tracking people. It’s also about understanding the interactions and dynamics between processes, machines and equipment, even macroeconomic trends, which may yield new learning into operational risks and opportunities. When combined with rich insights about consumer behavior, companies gain a more nuanced, detailed and accurate picture of where markets are headed. And that gives them a huge advantage in directing to proactive investments to seize the best opportunities.

The largest of those opportunities maybe market-facing or customer-centric, but supply chain improvements or other operational enhancements first discovered by behavioral analytics may also lead to worthwhile performance gains.

BEHAVIORAL ANALYTICS IN ACTION
Financial services organizations leverage behavioral analytics to identify suspicious and anomalous behavioral patterns as a means to strengthen anti-fraud capabilities; they also link demographic data and traffic patterns to customer profiles to figure out where to locate branches and ATMs
Retailers closely track the customer pathing across the channels like when, where, how frequently and for which transaction types do customers use various channels (including bricks and mortars stores); how they respond to email campaigns, mobile couponing or even television ads
Communications providers enrich customer information with external sources and network usage patterns to gain better views of subscriber behavior.
eCommerce players specifically test scenarios and track every click to understand why the customers abandon shopping carts or otherwise leave the funnel before completing check out.