Finance

STARCOM: India's first Listed Visual Analytics company

Predictive Financial Analytics

Predictive Financial Analytics

StarBI Predictive analytics provide CFO’s with valuable insight into customers, products, and even their own employees that can help them shape policy to better drive revenue. An example of such an insight is the identification of the characteristics of the most profitable customers. StarBI Predictive analytics can tell financial officers where they come from, what they buy, and other demographic information that can help the business better target the highest-revenue generating clients..

Using StarBI real-time predictive capabilities based on point-of-sale ,predictive analytics can identify fluctuations in the popularity of products. For example, a company could use these insights to ensure that the right stores or warehouses are sufficiently stocked with the right products. This increases efficiency by preventing unnecessary shipments and expediting important ones.

Financial Dashboards & Visualizations

Financial Dashboards & Visualizations

Dashboards can provide, in one quick glance, a holistic overview of the health of a company. By aggregating important visuals that reflect data insights together on the screen, dashboards can help financial professionals identify potentially hidden trends or missed opportunities.The ability of StarBI dashboards to “drill down” by clicking on a part of visualization and seeing detail is a very important function. For example, one major FMCG company using dashboards noted that their sales were down in one region. The drill down feature let analysts click on that region and see that the significant drop was due to a new local competitor in the area. Because the FMCG company discovered the drop in sales quickly, they were able to act swiftly in turn and produce a competing product. Over time their sales boosted back up. The timely financial data helped the company discover a place where it was suffering and why it was happening, leading to an improved business with better revenue.

Key Financial Performance Indicators

Key Financial Performance Indicators

Key performance indicators are a vital tool to help assess the financial health of a company. They provide metrics that help companies benchmark their progression toward goals. Such data can determine whether or not a company is going to hit its numbers, and can also identify important trends and connections between categories. StarBI helps financial KPI’s specifically to monitor the company’s health metrics as:

  • Net Profit, a measure of money made.
  • Cash Conversion Cycle, which determines how long it takes for a company’s resources to create revenue.
  • Operating Profit Margin, which measures operating costs against operating income, provide insight into the efficiency of the business.

Assessing Financial Risk

Assessing Financial Risk

Along with the increased speed and volume of financial transactions has come the increased speed and volume of developing risks. As these risks arise, the ability of a company to respond swiftly will rely on StarDQ Automated data management and StarBI Self service tool. As new investment opportunities arise, risk assessments can make or break a decision to invest. Moreover, regulatory pressures are forcing companies to submit their information for review more frequently.

StarBI is important for the finance department to more swiftly track financial performance. Real-time StarBI report gives an up to date, comprehensive picture of credit risk and market risk.

Standardizing Data Infrastructure

Standardizing Data Infrastructure

Companies that are working with many different data sources will see a significant drop in efficiency if data is not standardized before the implementation of a StarBI. The right tool should be able to unify different types of data from different places into a single warehouse. StarDQ helps in standardization of data which makes financial reporting significantly more efficient because reports are not being drawn from multiple databases that may include conflicting information, or may include conflicting, incompatible data structures which makes the information unviewable.

Financial professionals use Starcom Automated Enterprise Data Management (AEDM) to standardize infrastructure which work more efficiently and build more accurate data. StarDQ Data Deduplication process use Data standards which help eliminate incorrect, duplicate and out-of-date information for further analysis.