data

4 data wrangling tasks in R for advanced beginners

With great power comes not only great responsibility, but often great complexity — and that sure can be the case with R. The open-source R Project for Statistical Computing, a programming language and environment, offers immense capabilities to investigate, manipulate and analyze data. But because of its sometimes complicated syntax, beginners may find it challenging to improve their skills after learning some basics.

If you’re not even at the stage where you feel comfortable doing rudimentary tasks in R, we recommend you head right over to Computerworld’s Beginner’s Guide to R. But if you’ve got some basics down and want to take another step in your R skills development — or just want to see how to do one of these four tasks in R — please read on.

I’ve created a sample data set with three years of revenue and profit data from Apple, Google and Microsoft, looking

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On-Premise Reporting, KPIs & Dashboard | Data Analytics | Business Intelligence


IntelliFront BI™ is a browser-based Data Analytics & Business Intelligence solution that saves you time and money by creating & sharing your Reports, KPIs & Dashboards in a single easy-to-use portal. Quickly create static & real-time reports in the browser-based admin module and easily share them with management & stakeholders in their secure user portal. 

Designed with on-premise implementation in mind, it comes with Active Directory Integration, Single Sign On & 2-Factor Authentication as standard. Coupled with its built-in Application Security, IntelliFront BI allows you to collaborate & share reports with external users without compromising your security policies. 

Integration with ChristianSteven’s scheduling suite allows you to automate the export and delivery of reports in standard formats like PDF, CSV & XML to a variety of destinations like Email, Printer, FAX, Folder, Google Sheets, Google Drive, Sharepoint Dropbox, Slack & more.

Easy To Use

Beautiful Dashboards with IntelliFront BI

Video: See how this dashboard was created

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Best business intelligence tools in 2020: BI tools for data visualizations

Business intelligence (BI) tools aim to provide easy ways to visualize data, in order to better identify actionable insights. 

This is especially important when the modern business can now collect data on every aspect of a business, from sales and marketing, to workflows and productivity, to hiring and HR, to overall performance and profitability.

However, many of these data points exist in isolation and require the best BI tools to connect the dots together. This is what business intelligence represents: the ability to not just look at a specific detail of business operations, but tie in key information from each angle into an overall whole.

This can then allow for real insights and predictions for improving business performance, not least through Key Performance Indicators (KPIs). A number of software packages also come with their own analytics, but these can also usually be exported into a business intelligence platform.

Even more

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A Data Analytics,Business Intelligence, DATA Science and BIG Data Company

ProGen | A Data Analytics,Business Intelligence, DATA Science and BIG Data Company

ProGen Business Solutions is a Leading Analytics, BI or Business Intelligence, DATA Science and BIG Data Company which has it?s own DATA Science Academy. ProGen has it?s own pre packaged solutions built for Revenue 360 for Hotels and Hospitality, Customer 360 for Overall Customer Behavior Analysis and Spend 360 for monitoring and controlling the overall expenses and take better strategic decisions.



Our CEO Mr. Rahul Sharma will be talking about using ML & Deep Learning as a competitive advantage for business at The AIR Summit

ProGen has been recognised as “20 Most Promising Big Data Solution Providers 2017” by CIO Review Magazine in Sep 2017

ProGen covered by Insight Success Magazine as “The 10 Best Analytics Firms in 2017” in Sep 2017

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What Is Business Intelligence? Using Data Analytics in Business Strategy

Businessman surrounded by virtual business intelligence and data analytics icons

 

Companies implement business strategies with key goals in mind: to reduce costs, improve efficiency, and strengthen profitability. Business intelligence can add tremendous value in these areas, which is why business intelligence and data analytics professionals are in high demand. A recent IBM report cites a growing need for data science and machine learning skills (40% and 17% increases, respectively).

Our Online Master of Business Analytics at Ohio University teaches tomorrow’s business intelligence leaders how to use data analytics to identify business trends, create data models, and solve complex problems.

What is business intelligence, and what role does analytics play in business strategy? Business intelligence entails the analysis of past and present data to create actionable insights for informed decision-making. The data can vary — sales performance over a period of time, customer activity, or operational costs, for example. Prescriptive analysis and predictive modeling often contribute to data analytics. Skilled professionals

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Business Intelligence and Data Analytics | Master of Science in Information Technology | Online IT Programs

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Guide for Big Data, Business Intelligence & Analytics for Small Business

business intelligence for small business

In the past, business intelligence was a privilege of large companies who could afford to maintain teams of IT specialists and data scientists. But in the last decade, as technology has developed rapidly, the software has become not only more lightweight and powerful but also more accessible. Small businesses can use the same tools as main market players and face their competitors. New self-service tools prove that business intelligence is no rocket science but rather a useful tool to help to turn data into informed decisions. Now every company can harness the power of modern BI software to raise their bottom line since business intelligence for small business has become accessible and affordable. But what exactly makes business intelligence indispensable?

To get started in this journey, it is essential to know that BI can be adapted to any business model or industry. We have seen in our other blog posts,

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Driving Innovation through Big Data Analytics

State of Business Intelligence/Business Analytics
surveys are closed. Report will be sent to participants in 2013.

The BI Congress attendance
has reached our maximum limit.

Registration is now closed.

The 2012 Business Intelligence Congress 3
will bring together academic professionals and
industry representatives who share a common passion for research and education
innovation in the field of analytics. In the spirit of open
innovation – learn from, contribute your knowledge to, and brainstorm with the
key industry and academic movers and shakers
!

Our 2012 program will be dedicated to
Dr. Paul Gray. We are
grateful for his decades of contributions to the decision support field,
including his founding leadership of SIGDSS and his recent executive
leadership of the Teradata Univeristy Network.

We
suggest that you use this BI Congress website for the latest

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Business intelligence and data warehousing team structure


How do most people structure BI/DW teams? Who do we want on the team? What’s the typical chain of command? Are they part of the IT department?
 

Business intelligence/data warehousing teams are constructed quite differently from shop to shop. The most common placement is within IT, although recently I’ve noticed more in the CFO’s area instead.

In business intelligence and data warehousing teams, there is a Director, a Technical Lead (which is somebody that oversees the architecture and can roam into multiple of the other positions), ETL developers (typically mutliple of these) and data access developers. Data modelers may also be a distinct role, or modeling may be done by the Technical Lead. Business analysis is required and may be done by the modeler in small shops. The Physical DBA/System Admininstration needs are generally done by service level agreement (SLA) with those core

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