Skip to main content

Qlikview tool for Financial Data Analytics

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, YTD, MTD analysis of financial data. Qlikview helps in doing the same with ease of visualization using its Dashboards. It also shows if any limits are getting breached. Accordingly, Qlikview can send reports of the limit breach via mails automatically.

Trend Analysis:

The data analytics team within the Finance department needs to do showcase the trend of data points in financial data to the Management Board and key decision-makers.

Financial Data discovery: 

Business user-led financial data exploration.

Search: Locate financial data in structured and unstructured fields

Association: Find financial data relationships through built-in association logic

Drill down: identify trouble spots and drill down to transaction-level details

Financial Reporting: 

Build simple or complex, interactive financial reports. These reports created in Qlikview can be exported in Excel, PDF, or CSV format as required for internal and external reporting purposes.

Ad-hoc analysis: 

Create custom reports from scratch. Ad-hoc reports can be easily created over the top of the standard template.

Financial data aggregation: 

Leverage in-memory storage to pull together multiple disparate sources at low levels of detail

Mobile consumption: 

Deploy risk content to iPads, iPhones, Android, etc

Regulatory inquiries: 

Quickly answer questions and minimize manual effort.

Qlikview helps in quick data decisions amid an ever-changing market. It provides data on your fingertips (with the use of mobile devices) which gives 360 degrees view of clients and allows better business outcomes.

About Amlgo Labs : Amlgo Labs is an advanced data analytics and decision sciences company based out in Gurgaon and Bangalore, India. We help our clients in different areas of data solutions includes design/development of end to end solutions (Cloud, Big Data, UI/UX, Data Engineering, Advanced Analytics and Data Sciences) with a focus on improving businesses and providing insights to make intelligent data-driven decisions across verticals. We have another vertical of business that we call - Financial Regulatory Reporting for (MAS, APRA, HKMA, EBA, FED, RBI etc) all major regulators in the world and our team is specialized in commonly used regulatory tools across the globe (AxiomSL Controller View, OneSumX Development, Moody’s Risk, IBM Open Pages etc).We build innovative concepts and then solutions to give an extra edge to the business outcomes and help to visualize and execute effective decision strategies. We are among top 10 Data Analytics Start-ups in India, 2019 and 2020.

Please feel free to comment or share your views and thoughts. You can always reach out to us by sending an email at info@amlgolabs.com or filling a contact form at the end of the page. 

 

Labels:

Comments

  1. techmarkblogSeptember 23, 2020 at 1:50 PM

    Nice reading, I love your content. This is really a fantastic and informative post. Keep it up and if you are looking for Data Analytics tools then visit TechMarkBlog

    ReplyDelete

Post a Comment

More Popular Posts

Amlgo Blog - Experience The Experiments

Amlgo Labs Blog  is a step towards our vision to share knowledge and experiences, Amlgoites accept every challenge very enthusiastically. We do experiments, we fail but we learn and build complex solutions to help our clients solve their problems in Data, Analytics, Prediction, Forecasting, Reporting, Designing and Development area. During this process we enjoy immense learning everyday and we have decided to share our thoughts, learnings, experiments and experiences so that we don't work in silos and contribute the best of our knowledge towards community and learn more by views and reviews. This website is maintained and brough to you by  Amlgo Labs Professionals .   Our Strong Basics -  1)   KISS (Keep It Simple and Straightforward) :  We believe most of the problems can be solved by keeping things simple and straight. This is the learning we had in past, sometimes we try to solve technical problems using high end algorithms and complex codes but this results into complications.
Post a Comment
Read more

Polybase Blog - Introduction

Overview: This Polybase blog series is all about the use of Polybase Technology in today’s era to be able to take advantage of the Data(Relational and Non-Relational) by using T-SQL only. Data whether Big or not is the lifeline to many different sectors to cope up with Production, Maintenance, Predictions, Taking Precautionary Measures, Customer Satisfaction, Customer Retention, Sales, Revenue Generation and many more.
Post a Comment
Read more

Polybase : Polybase Scale-Out Group

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.
Post a Comment
Read more

Financial Regulatory Reporting

This blog is an introduction to the Regulatory Reporting. Regulatory reporting is mandatory activity banks have to perform with the coordination of Treasury, Group Finance, IT, and business lines. Regulators across the globe depend on accurate and timely submission of various Risk and non-risk reports by banks to measure the overall health of the banking sector.
Post a Comment
Read more

Polybase Installation for Scale-Out process

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.
Post a Comment
Read more