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In today's digital era, data is being generated at every turn. Every interaction, transaction, and process creates valuable information, yet transforming this raw data into insights that can drive business decisions remains a significant challenge for many organizations.
Snowflake’s cloud data warehousing platform is transforming how businesses manage and analyze their data. With its powerful combination of scalability, efficiency, and affordability, Snowflake empowers organizations to handle large datasets seamlessly. Whether you're working with terabytes or petabytes of data, Snowflake ensures high-performance data processing and analytics, unlocking the full potential of your data.
In today’s fast-moving distribution industry, efficiency is everything. Distributors need quick, reliable tools to handle tasks like generating invoices and e-way bills. That’s why we created a serverless e-invoicing solution using AWS Lambda and Flask—keeping things simple, cost-effective, and secure. Here’s how we did it and the benefits it brought to distributors.
In the modern data-driven world, businesses are generating vast amounts of data every second, ranging from web traffic, IoT device telemetry, to transaction logs. Handling this data efficiently and extracting meaningful insights from it is crucial. Traditional databases, often designed for transactional workloads, struggle to manage this sheer volume and complexity of analytical queries.
At Incentius, data has always been at the heart of what we do. We’ve built our business around providing insightful, data-driven solutions to our clients. Over the years, as we scaled our operations, our reliance on tools like Pandas helped us manage and analyze data effectively—until it didn’t.
The turning point came when our data grew faster than our infrastructure could handle. What was once a seamless process started showing cracks. It became clear that the tool we had relied on so heavily for data manipulation—Pandas—was struggling to keep pace. And that’s when the idea of shifting to ClickHouse began to take root.
But this wasn’t just about switching from one tool to another; it was the story of a fundamental transformation in how we approached data analytics at scale.
Incentive schemes act as a strategic tool to align salesperson’s behaviour with business objectives. It acts as a catalyst to motivate the salesforce. Incentive Compensation is the primary tool to differentiate between salespeople based on performance and helps retain top performers by clearly calling them out. It also plays a significant role as part of the total compensation structure and acts as a lever to attract top talent.
What are the guiding principles that drive the structure and definition of an incentive plan?
There are inherent counteracting pressures between these guiding principles.
Given these guiding principles, what design framework components are important to consider while defining an Incentive Plan?
How much should a salesperson be paid in total? What should be the total compensation structure including base salary and potential incentive payouts? The organization’s compensation philosophy, in general, has a large bearing on this element. Defining the TTC depends on how much the organization weights compensation as part of its value proposition to its employees. It is also important to review industry TTC benchmarks for competitiveness and clearly define the organization’s desired market position. This will help ensure that organization is able to attract and retain the right type of people.
What should be the ratio between base salary and incentives viz. the pay mix? The pay mix depends on the extent to which the salesperson is responsible for the final sale. For eg. Real Estate agent pay mix leans towards higher incentives because the sales are almost fully determined by salesperson capability. Sales Support roles usually tend towards having a higher base salary in the mix because of their lower ability to impact the actual sale. Organizations that don’t have adequate availability of data or confidence in the measurement of performance also tend to weigh incentives less. The pay mix should ensure that the total expected compensation remains motivational and yet financially responsible. The pay mix also plays a big role in signaling the type of salespersons to attract to that role.
What portfolio of brands should you focus on for each salesforce? One may choose to group all brands sold by that salesforce into one basket and measure on that. Alternatively, one may choose to provide one incentive scheme to certain key brands that need special focus and one incentive scheme for all brands sold by that salesforce. Some organizations may choose to focus on certain individual brands sold as well and measure each brand’s performance separately to maintain higher focus. The portfolio definition decisions are driven by the organization’s business strategy, the brand focus they’re hoping to achieve. Fine-tuning portfolio definition helps sharpen the focus on which brands the organization wants to push more.
Once portfolios have been appropriately defined, the next step is to define the metrics that define performance. What are the KPI’s that the business manages around and how can those KPIs be rolled down to sales performance metrics? Should a combination of metrics be used? The metric should be chosen such that it supports the desired business strategy. Factors that affect the type of metric chosen are the sales channel, the reliability of sales data and brand maturity. Ideally, one incentive plan should have no more than three plan metrics. A good metric should be clearly measurable and specific with significant weight associated with it (>15% of total target). There should be clear guidelines in terms of expectations from primary product as compared to other products in the portfolio. For example, a growth stage brand may be assigned a volume growth metric but a mature brand may be assigned a volume metric based on the organization's business objectives.
What sort of an incentive scheme should you choose? Should it be goal-based to measure against predefined targets? Should it use a matrix type scheme type to measure performance against two metrics simultaneously? The selection should be based on the organization’s specific needs and the way it prioritizes the different guiding principle. For e.g – fairness vs. simplicity, motivation vs. financial budget. Other factors that need consideration such as data reliability, confidence in national sales forecast, variation in territory potential etc. For example, if the confidence in national sales forecast is low, a goal-based scheme is not ideal. If variation in territory potential is high a commission against volume plan type is not ideal.
What should the design of the payout curve assigned to the component? Curve aspects like the threshold, cap, kickers and multipliers should be considered? For example, Does your organization believe in paying incentives starting at 80% target achievement or only at 100% target achievement? At what performance should you consider a multiplier to motivate top performers more? How would my curve perform financially against an unexpected higher national performance? Should I cap top performer payouts at a point to guard against outlier performances? Industry standards also play a role to some extent in defining the upside and downside risk depending on organization’s market positioning.
The incentive period definition also plays an important role in incentive plan design. What is the measurement period I should use for my incentive plan – Annual, quarterly or monthly? How often should I pay my reps? If a rep underperforms in earlier months, should I offer a chance to catch up by the end of the year? When should I run incentive calculations with respect to the end of the measurement period? These depend mostly on data reliability, expectations from the salesperson, system capability and the importance of meeting shorter-term national forecasts vs. annual national forecasts. Another important factor to be considered is the application of interim payout caps in case the performance measurement period is larger than the payout frequency.
All the above attributes play a significant role in the overall success of an IC plan. The qualitative impact of an ineffectively designed plan is well recognized but companies fail to take into account the financial implications (of increased attrition rate, lower morale, lost selling opportunity due to higher shadow accounting and dispute resolution time, higher administration cost) of poorly designed incentive plans and don’t put enough emphasis into balancing the inherent counteracting pressures in the guiding principles.