DATA SCIENCE AND AI

Challenge

End Client is having a service based company and is looking for a RPA solution in the process of on-boarding an Employee and setting up new hires as it is labor-intensive for HR and IT analysts. It includes such as creation of new user account, email addresse, profile creation, access rights, mailing lists and so on.

RPA solution

We have provided a solution using OCR and RPA techniques. At first Employees resume ( PDF ) will be uploaded within the RPA tool and it scans the text from the uploaded file and extract the required information such as Name, Mail I'd, Contact details, Address and so on. These data will be utilised by the robot whenever required and Within the employee on-boarding activities, it is a prime candidate for RPA to automatically trigger a pre-structured on-boarding workflow once the new user account is created. Rules and triggers can be assigned to the profile of the new hire to support robots take action. Software robots can also be configured to send out notifications and documentations via email to new employees.

Results

With the plethora of activities involved in the employee on-boarding process which is extremely time consuming and can often lead to delays for the new hire to be 100% equipped from day 1, hence reducing productivity and ROI of overhead expenses. This tool helped the end client to automate his entire employee onboarding process results in outcome with the challenge.

Challenge

End Client is having a civil based company constructing the flyovers under contract. To construct these one should do the traffic survey and rain fall intensity by taking the last 5 years data and forecast the data for a decade. Due to these, building construction material properties will be decided and the design period will be calculated which is difficult to do these calculations using excel.

Solution

We have came up with the AI based solution, Data Forecasting which forecasts from the available previous yrears data. Here, User can select the individual properties too to forecast the data and can select the particular time period too.

These data will be shown in Insights for a better Visualization and to analyze the content. Insights can be viewed wrto months and years.

Results

End client is able to get the forecasting data aloong with Insights with no including of mathematical calculations and calculator, with no human efforts and in less time. Easy to use and get the instant quick accurate results.

Challenge

End client is one of the largest product based company. The amount of data produced by the company increased with increasing growth and expansion of business of the firm because of successful mergers and acquisitions. This led to the need for a robust self-service data governance and analytics solution. Initially, The IT department used standard tools like Excel and SQL Server for data analytics and reporting. But these tools were eventually proved inefficient as they caused confusion and obscurity in data governance due to data replication.

After this, the company switched to BI tools Cognos and Business Objects, but those tools too were not able to meet the company’s requirement. What the company needed was a data governance tool taking care of business aspects like data access, data analysis, IT governance, and business priorities of the team.

Solution

We have given a solution, deploying Incorta a hyper converged business analytical tool as its core self-service data governance tool at an enterprise level. It has given self-service analytical capabilities to a whole lot of people taking care of different operations such as traders, risk analysts, compliance team, operations analysts, sales analysts and so on. The marketing operations team could analyze customer data to track customer journey and preferences which helped them in deciding website design, promotional materials and launching new products

Results

Deploying Incorta for data governance was a successful step as it brought many positive changes. End client was able to reduce manual reporting time. Incorta has saved a lot of the company’s valuable time and has shifted the focus from report generation to analyzing the reports, gaining meaningful insights into data and efficient decision-making.

Our solution has enabled client to establish stronger customer relationships by integrating customer’s data with the line of business aspects such as products, marketing, services and creating common data sets. Thus, Incorta acts as a front-end tool to maintain customer relations.