Business Intelligence

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Descriptive Analytics

Generating actionable insights on the current situation using complex and multi-variate data. Typical examples include marketing, ROI measurement, customer journey analysis, and customer satisfaction analysis

Descriptive Analytics

Descriptive Analytics, which use data aggregation and data mining to provide insight into the past and answer: “What has happened?”. Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample…

Descriptive analysis or statistics does exactly what the name implies they “Describe”, or summarize raw data and make it something that is interpretable by humans. They are analytics that describe the past. The past refers to any point of time that an event has occurred, whether it is one minute ago, or one year ago. Descriptive analytics are useful because they allow us to learn from past behaviors, and understand how they might influence future outcomes.

Examples of descriptive analytics are Reports that provide historical insights regarding:

  • Company’s production
  • Operations
  • Sales
  • Finance
  • Inventory
  • Customers

Real time analytics services and Real time analytics consulting by AQ4

Real-time analytics is the use of data and related resources as soon as the data enters the system. Real-time analytics is also known as real-time analysis, real-time data integration and real-time intelligence.

AQ4 provides real time analytics using variety of tools depending on the case scenario:

  • Apache Spark is an open-source cluster-computing framework. Spark supports Hadoop Distributed File System (HDFS), MapR File System (MapR-FS), Cassandra, OpenStack Swift, Amazon S3, Kudu, or a custom solution can be implemented
  • Apache Kafka is an open-source stream-processing software platform developed in Scala and Java. Apache Kafka is based on the commit log, and it allows users to subscribe to it and publish data to any number of systems or real-time applications.
  • Apache Flume is a distributed, reliable, and available software for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.
  • Apache Flink provides a high-throughput, low-latency streaming engine as well as support for event-time processing and state management. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment. Flink provide data source and sink connectors to systems such as Amazon Kinesis, Apache Kafka, HDFS, Apache Cassandra, and Elasticsearch

SAP BI Services

SAP BO/BW Consulting

  • SAP BOBJ Healthcheck
  • SAP BW
  • SAP BODS ETL monitoring (DWH)
  • Integrate BW/4HANA

BO/BW Implementation

  • SAP IDT/UDT Universes Design & Optimization
  • Historical and Incremental load using SAP BODS
  • Custom Build DWH solutions
  • Custom Build Dashboards using SAP Dashboards/ SAP Design Studio
  • Formatted/Detailed Reports/Queries/Visualizations (Crystal Reports, WEBI, BEX queries)
  • Self Service analyses using SAP LUMIRA, Analysis for OLAP, Business Objects Explorer
  • Build custom extractors for modules where SAP doesn’t deliver standard extractors

SAP Managed Services

  • 24*7 Production Support & Testing
  • manage support, monitoring, data loads, and enhancements for ETL, DWH, Reports and Dashboards
  • SLA based compliance across P1, P2, P3 Priority Levels
  • Migration of BO 3.X systems to 4.X systems/SAP BW/4HANA
  • Performance Tuning services for all supported Databases, Reports and Dashboards
  • Migration from other BI tools (IBM Cognos, MicroStrategy) to SAP BO

Tableau Services

Tableau Consulting

  • Healthcheck Assessment & Recommendations
  • Architecture, Planning & Roadmap
  • Transformative Technology Advisory
  • Standards & Best Practices
  • Process & Compliance Advisory

Tableau Implementation

  • Tableau Administration
  • Dashboards Development and Enhancements
  • Data Preperation
  • Business Analysis
  • Training

Tableau Managed Services

  • 24*7 Production Support
  • Tableau Environment Monitoring
  • Trouble Shooting & Failure recovery
  • Security Support & Maintenance
  • Performance Tuning & Optimizations
  • Upgrades & Patch
  • IT Infrastructure Management

Pentaho Services

Pentaho Business Analytics

  • Dashboards
  • Reporting
  • Ad-hoc Analysis
  • Visualizations
  • Data Mining
  • Pentaho Data Integration - Data Warehousing, ETL, Data Governance, Data Quality, Master Data Management

Pentaho Bigdata Analytics

  • Hadoop ( Cloudera, MapR, HortonWorks, Apache and NoSQL like MongoDB)
  • Hadoop as Data Warehouse and Data Arts for your Analytics
  • Data Mining Algorithms and enable Analytics on Hadoop
  • Generate Reports Directly from Hadoop

Embed Pentaho

  • Pentaho Re-branding
  • Multi Tenancy
  • Visualization Plug-in Development
  • Security

Pentaho Managed Services

  • Migration from lower versions to higher versions
  • Migration from/to other BI stacks to/from Pentaho
  • Migration from other tools to PDI
  • SLA-driven, flexible team equipped with best practices and knowledge base to provide timely and effective support

Power BI Services

Power BI Consulting

  • Health Check Assessments & Recommendations
  • Architecture, Planning & Roadmap
  • Transformative Technology Advisory
  • Standards & Best Practices
  • Process & Compliance Advisory

Power BI Implementation

  • Design & Development of Dashboards & Scorecards
  • Integration
  • Migrations (From & To other BI Tools)

PowerBI Managed Services

  • Platform Support
  • 24*7 Production Support
  • IT Infrastructure & Application Management

Bigdata Services

AQ4 provides bigdata services, bigdata consulting and bigdata resources on following Bigdata technology stack:


Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation.

Map R

MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster.


HBase is an open-source, non-relational, distributed database modelled after Google's Bigtable and written in Java.


Oracle NoSQL Database is a NoSQL-type distributed key-value database from Oracle Corporation. It provides transactional semantics for data manipulation, horizontal scalability, and simple administration and monitoring. AQ4 teams have expertiese in Mongo, ReThink, Cassandra DBs too.


Cloudera was the first one to develop and distribute Apache Hadoop based software and is still the largest organization with the largest user base with many customers to their belt. The Cloudera Management suite provides the users reduced deployment time, real time node counts etc.


Hortonworks is the only vendor to provide a 100% open source distribution of Apache Hadoop with no proprietary software’s tagged with it.


Apache Spark is an open-source cluster-computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since.


Amazon Elastic MapReduce (Amazon EMR) is a sub-project under Amazon Web Services (AWS). It is a web service that allows us to manage those huge Big Data datasets. Amazon EMR with its array full of security features makes it look promising in securing and also to reliably handle big data, log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Data Warehousing Services

AQ4’s Data Warehousing services and Business Intelligence services enable customers to Process data effectively and efficiently and help them to get valuable insights, take decisions and improve Productivity and performance

AQ4 ‘s end-to-end Business Intelligence and Data Warehousing solutions include data warehouse development, implementation, maintenance, operations, and support.

We leverage cutting edge, proven and tested methodologies and technologies and a flexible delivery model to provide custom solutions to our customers.

Some of ETL tools we use for DWH are:

  • Informatica
  • Talend
  • Pentaho – Pentaho Data Integrator – PDI / Kettle
  • IBM DataStage

Some of the Analytical Databases we use for Big data and faster performance are :

  • Amazon Redshift
  • Teradata
  • Cloudera
  • HP Vertica

Our DWH and ETL services include pulling and connecting to data from various sources system – structured and unstructured and semi structured data sets , putting into staging area, cleaning and formatting the raw data and building data marts and keep it ready for consumption.

Data Warehousing Services

Mobile BI

AQ4 offers variety of Mobile BI services and Mobile App development such as development of Mobile dashboards, Mobile reports and providing real time analytics using KPIs on Mobile devises

Web Based Mobile BI

Here, users access the application through their device’s Web-browser Users will have a consistent experience across both mobile and desktop versions of the application, with access to similar or identical data and features.

App Based Mobile BI

Since this is native app, the user experience is usually better overall than accessing a BI application through a mobile Web-browser.

Industry Use Cases


Executives at a grocery chain can analyze sales data for specific product lines and balance inventory levels accordingly.


A university president can keep an eye on security during campus events by remotely viewing real-time dashboard data on crowd size and reported incidents.


A hospital administrator who is out of town at a medical conference can still make informed staffing decisions by accessing Mobile BI tools to observe room usage and provider availability patterns.



AQ4 provides ETL services, ETL consulting and ETL resources on following ETL tools and use them depending on the case scenarios:


SAP Data Services allows organizations to easily explore, extract, transform, and deliver data anywhere, at any frequency. SAP Data Services provide pervasive, open and extensible on-premise and cloud source and target support – structured, text, big data, social, spatial, SAP and non-SAP


Informatica is a unified enterprise data integration platform for accessing, discovering, and integrating data from virtually any business system, in any format.

Pentaho data integrator – Kettle

Opensource: Pentaho is one of the few products that run on a Mac. Pentaho also prides itself on its deep Hadoop integration.


Provides advanced capabilities that dramatically improve the productivity of data integration job design; and proven scalability to ensure optimal execution.

Oracle Data Integrator - ODI

Delivers high-performance data movement and transformation among enterprise platforms with its open and integrated E-LT architecture. Including built-in connectivity to all major databases, data warehouses, service-oriented architectures.

IBM Cognos

Cognos Data Manager can read and write data on multiple tables or files in any degree of data partitioning, with inflight repartitioning, never landing to disk regardless of the number of endpoints.

Microsoft SSIS

SQL Server Integration Services (SSIS) connect and transform disparate data sources.

Work samples

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