Hi Friends, today we are going to give you a sequence of steps on how you can solve a predictive modelling problem in simple steps. This will help you to understand how an analytics problem is solved, what is the most important step in the process, and are these steps fit in every analytics problem and most importantly why do we need to follow these steps. So, before we jump on any of these questions and the seven-step process, let us look at below example to understand – “what is predictive analytics?”.   My loan application was rejected by the Bank because they predicted I may not repay the loan. In this example banks used some parameters to check what is the probability of me doing default, and this probability must be below certain threshold.   So, how does the Bank predicted it? bank has an algorithm where they provide some parameters (like salary, age, job type, experience, etc.) and it gives the probability of getting default (like 78%, 35%, etc.).   So, the process of building

In this blog we will take you through the Power BI Card Visual and a workaround to present card with conditional formatting. To know more about what is Power BI please do check Power BI Blog . The conditional formatting, we do will not be on the Card Visual, but the output will certainly look like Card, which is a requirement in some cases. Many Power BI users have used Card Visual to represent some value on the Power BI Reports separately or on above of any other visual, but sometimes clients ask which is deemed difficult to achieve, but not impossible. So, let’s dive into the practical to know more about it.

In our last blog related to Qlikview, we discussed the use of Qlikview for Financial Data Analytics . Qlikview is a Business Intelligence tool that consists of a front end to visualize the processed data and a back end to provide the security and publication of the mechanism for QlikView user documents.

This Power BI blog is an introduction to the Power BI. In this Power BI tutorial, you will learn Power BI basics - what is Power BI, Power BI Desktop and Power BI Service. Power BI tool is a combination of Business Intelligence and Visualization. Before we dig deep let’s understand what is Business Intelligence. Business Intelligence is a broad spectrum which consists of using different business strategies and techniques to gather data, refine it and process it for the purpose of data analysis which gives us some meaningful information which helps in data driven decision making. When we present this information in the form of some charts, graphs it takes the form of Visualization.

This part is the continuation of the previous blog about the introduction of  Polybase Scale-Out Group . As we have discussed in our earlier blog PolyBase enables your SQL Server instance to process Transact-SQL queries that read data from external data sources. SQL Server 2016 and higher can access external data in Hadoop and Azure Blob Storage. Starting in SQL Server 2019, PolyBase can be used to access external data in SQL Server, Oracle, Teradata, and MongoDB.

In our last blog, we discussed various stages of new regulatory reporting . Regulatory reporting is vital to the supervisory process, and a core mechanism for identifying risk, ensuring compliance, and achieving our operational objectives.

In response to the global financial crisis, the European Commission decided that it was time that high quality regulatory reporting was implemented by scrutinizing the financial data of companies in much more detail. European Commission has made it mandatory for the European Banking Authority (EBA) to develop Implementing Technical Standards (ITS) related to supervisory reporting requirements. In response to this mandate, the EBA has developed  Common Reporting (COREP)  and  Financial Reporting (FINREP)  as two frameworks that will apply across Europe. Introduction: Common Reporting ( COREP ) is the standardised reporting framework issued by the EBA for the  Capital Requirements Directive  reporting. It covers  credit risk ,  market risk ,  operational risk , own fund and  capital adequacy ratios .   This reporting framework has been adopted by almost 30 European countries. Financial Services Authority (FSA) has mandated that all regulated organizations in the UK use COREP to make thei

QlikView is a Business Intelligence and Data Visualization tool used for getting relevant, actionable, and timely data that help companies in taking the right decisions. Other competitor tools are Tableau, SAP Business Objects,  Microsoft Power BI, IBM Cognos Analytics. Amid uncertain economic conditions, changing dynamics, and a crisis of confidence in the financial markets, customer focus and risk management continue to be key drivers for profitability in banking. The urgent need for information to help address these priorities compels banks to attempt complex data integration and warehouse initiatives.QlikView in-memory analysis helps in faster data integration of data coming from disparate data sources and provides analytical capabilities to business users. The use of the Qlikview tool for financial data analytics is explained as below: Day On Day Variance :  The data analytics team within the Finance department needs to do DoD ,  Month-over-month, Quarter-over-Quarter, YT

In the last blog, we discussed the Introduction of the Polybase and the Implementation process of Polybase in SQL Server . PolyBase Scale-out Group consists of multiple virtual machines, each having its own SQL server instances which help in parallel processing and distribution of data. Data loading and query performance can increase in the direct proportion of the number of SQL server instances on each virtual machine.

In the last blog, we discussed what is  Financial Regulatory Reporting  and its importance in the banking industry. Regulatory Reporting comprises the submission of business numbers as required by regulators to evaluate and track the financial and operational status of financial institutions and their compliance with required regulatory provisions.