DAILY SALES REPORT
As part of daily sales data, the enterprise data warehouse needs to be updated with the actual sales to support the executive business reporting on actuals, forecast, performance metrics, and financial metrics including Net Revenue, Gross Revenue, and Per unit profitability. Currently, there are multiple issues with the daily sales data and the business is unable to generate the reports in time and the data resolution takes quite a long time as it needs to go through many manual corrections and dependencies. This creates a trust issue on the data and a loss of valuable time in appropriate decision making.
Solution
Our technical experts peeled apart all the legacy code with little to no documentation and re-designed complete ETL, wrote all new integration, and the bad data was filtered out automatically and notified to the concerned business and tech teams to take action immediately.
Value
Technologies Used:
- SSIS
- SQL Server ( on-premise & Azure cloud )
- Task Factory & Kingsway soft Component
- MS Power BI
C-level executive dashboard
Solution:
- Previous day sales and shipments in volumes
- Month-to-date total volumes
- Average month-to-date totals that predict month-total achievements based on average daily sales that have occurred this for.
- Comparing predicted target and actual targets and identifying the lag in total sales.
- Displaying required daily average for remaining working days Volumes for the current month to reach targets.
- Displaying the Current year and current month’s total volumes and the same time last year are compared.
- Volumes for the current year are compared to goals for the current year. Volumes for the current month are compared to targets for the current month.
- Ability to view data by Year, Month, Region, and Brand to examine particular Volumes at particular levels.
Value:
The ability to quickly speak with managers to determine the cause of low volumes and make decisions about a course of action to increase the total volumes in underperforming areas has made it easier for sales heads and C-level officers to monitor their progress toward achieving. their volume targets. They can also analyze which regions are performing worse than expected and which brands are experiencing strong volume growth.
Technologies Used:
- MSSQL
- Dax
- Power Query Editor
- Power BI Desktop
- Power BI Service
- Power BI Data Gateways
Cloud data migration/management
As part of daily sales data, the enterprise data warehouse needs to be updated with the actual sales to support the executive business reporting on actuals, forecast, performance metrics, and financial metrics including Net Revenue, Gross Revenue, and Per unit profitability. Currently, there are multiple issues with the daily sales data and the business is unable to generate the reports in time and the data resolution takes quite a long time as it needs to go through many manual corrections and dependencies. This creates a trust issue on the data and lost valuable time in appropriate decision making.
Expense Reduction: Organizations often incur additional expenses when utilizing outdated databases. To optimize operational efficiency, they transition their databases to platforms that cater to their requirements more effectively. This strategic move aids in economizing infrastructure costs, minimizing labor requirements and mitigating the need for specialized expertise. Over time, companies recognize how legacy infrastructure constrains their operations, leading to difficulties in scalability, time-intensive maintenance, and substantial costs. Their objectives include achieving greater flexibility, bolstering application speed, enhancing reliability, strengthening security measures, and refining disaster recovery strategies.
Technology Upgrade: A prevalent incentive for database migration is the transition from obsolete or legacy systems to contemporary solutions aligned with present-day data demands.
Reduction of Redundancy: Companies necessitate data migration to consolidate all organizational data within a unified repository. This consolidation minimizes redundant data and facilitates seamless accessibility for all company divisions.
Security Enhancement: The majority of database upgrades incorporate security enhancements, mandating regular updates to safeguard the database effectively.
In essence, the imperative to ensure optimal efficiency, streamline operations, reduce costs, enhance security, and adapt to new technological paradigms has motivated companies to embark on database migration initiatives. This strategic maneuver empowers organizations to surmount challenges associated with legacy systems, thereby fostering agility, innovation, and improved performance within the dynamic business landscape.
Challenges in database migration:-
Since database migration is a very complex task, it is obvious to face different challenges during the process.
Some of the common challenges are as follows:
- Identification of Databases stored at different places
- Data Analysis at the earliest
- Devising a migration strategy
- Lack of Integrated Process
- Data cleaning and coding
- Lack of collaboration
- Emphasize on data analysis
- Securing data and system
Solutions:
Pre-migration steps
Our team did due diligence to include the basic planning, structuring, understanding the requirements, and finalizing the migration approach and steps. Due weightage was given to data governance roles, Security rules, risks related to migration, etc.
Migration Steps
It should be accomplished with proper accountability taking utmost care about data governance roles, risks related to migration, etc.
Post-migration steps
Each application was released in a phased manner with post-production testing and a cyclic test and fix production issues approach. Our team was able to complete post-production with near to zero application downtime.
Technologies Used:
- MS Azure SQL
- Data Factory
- Synapse
- Data Lake
Finance Planning and Forecasting
The client was grappling with the challenge of managing its inventory efficiently. The existing manual and spreadsheet-based reporting processes were intricate, time-consuming, and error-prone. Recognizing the need for a more refined perspective on their inventory, the client aimed to transform its approach and increase cost-efficiency. Specifically, they sought to empower their Financial Planning and Analysis (FP&A) team with the capability to analyze inventory data at both branch and functional levels.
Solution:
In response to the client’s requirements, the decision was made to implement an advanced planning and forecasting solution. This solution would be built on the foundation of IBM Cognos Planning Analytics (TM1) from IBM. By adopting this technology, the client would be able to significantly enhance its inventory management capabilities.
Benefits/Value:
The implementation of IBM Cognos Planning Analytics (TM1) yielded several notable benefits for the client:
Precise Cost Allocation: The solution enabled the client to achieve a highly accurate and detailed cost allocation process. This level of accuracy allowed them to understand and manage costs at a granular level, down to individual branches and functions.
Cost-Efficiency Optimization: The advanced planning and forecasting solution empowered the client to identify new avenues for cost-efficiency. By having a comprehensive view of their inventory and associated costs, they could pinpoint areas for improvement and implement targeted strategies to optimize expenditure.
In summary, the client’s pursuit of improved inventory management led them to partner with In2Desk for the implementation of IBM Cognos Planning Analytics (TM1). This decision led to enhanced accuracy in cost allocation and the discovery of new cost-efficiency opportunities. The successful adoption of this advanced solution marked a significant step forward in the client’s journey toward more effective inventory management.