data

Business Intelligence: How Organizations Use Employee Monitoring Data

It’s a common myth that employee monitoring software is for spying on employees and micromanaging how they spend their time at work. In reality monitoring employee computer activity provides companies with the insights they need to understand how their workforce operates. In this article I’ll provide you with examples of how organizations use employee monitoring data to improve their business intelligence.

Make data-informed management decisions

Business data is incredibly powerful for making informed management and business planning decisions. This data allows you to find trends and patterns that allow you to analyze existing business processes and improve them.

Monitor trends in employee productivity

An organization’s historical computer usage data can be integrated into business intelligence tools such as Tableau or BigQuery to gain advanced insights into employee productivity trends. Employee performance monitoring and analytics provide insights on both a granular level (individual users or workgroups) and on a high level

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Data, Business Intelligence Lead B2B VC Roundup

In a venture capital slowdown, any investment round is a win.

This week’s look at the latest funding for B2B FinTech and other startups showcases an investor appetite for security, data and business intelligence, with nearly $63.5 million in fresh investment for the industry. PYMNTS rounds up the latest deals below.

Whistic

Focused on mitigating third-party risk for B2B buyers and suppliers, Utah-based Whistic recently announced a $12 million Series A investment round, FinNSMEs reported. The company offers businesses a platform to manage their third-party partners, connecting users to its Trust Catalog of corporate profiles. Investors at Emergence led the funding, while Album VC and existing backers also participated. Whistic said it would use the investment to grow its staff and scale operations.

CANDIS

Germany’s CANDIS, a small- to medium-sized business (SMB) accounting automation platform, recently announced via press release a $14.2 million

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Turn Data Into Opportunity With These 9 Business Intelligence Tools

Businesses and enterprises have a lot of data to contend with. From acquisition and retention metrics to prospective customers, internal business processes, partners, affiliates, and competitor data, knowing what data matters most to your business can be difficult.

Often, businesses can’t -or simply neglect to -leverage their data effectively into actionable wins that can grow revenue and help them operate more efficiently.

That’s where business intelligence (BI) tools can really help. They pull your data from dozens of sources, clean it up, transform it, and display it visually via dashboards and reports, which are far easier to interpret than raw numbers and fields. BI also makes it easier to track the ins and outs of what’s actually happening in your company.

While BI tools have been around for decades, there’s been an explosion of excellent online tools entering the market in recent years. These tools are constantly evolving to meet

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Data warehouse: a foundation for business intelligence

Businesses are making data analytics a priority like never before — so much so that, according to a recent TDWI study, 82% of businesses are prioritizing their budgets around new technologies and services for analytics and business intelligence.

To derive value from their data, however, companies must efficiently sort through it. A data warehouse can store and organize historical, operational, and transactional data for analytical use, improving data accessibility and enhancing a business’s ability to make bottom-line decisions.

Data warehouse characteristics

A data warehouse is a repository that stores current and historical data from disparate sources. It’s a key component of a data analytics architecture that creates an environment for decision support, analytics, business intelligence, and data mining.

A data warehouse holds data from multiple sources, including internal databases and SaaS platforms. After the data has been loaded, it can be cleansed, transformed, catalogued, and checked for quality before it’s

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Harnessing the Power of Data for Field Service Operations

“Field service organizations are dynamic, fast-moving teams who have long suffered with inadequate reporting tools,” said Geoff Surkamer, CEO of MSI. “With Service Pro BI, companies now have the advanced technology they need to make informed business decisions. They’re able to transform operational data in Service Pro into actionable business intelligence to drive field service opportunities, optics, and optimization.”

With no-coding-required data visualization tools, Service Pro BI allows users to track critical service KPIs, boost technician efficiency, and identify potential problems before they impact customers. Service Pro BI provides organizations with unlimited visualizations within Service Pro for each functional area, such as appointments, equipment, orders, and service technicians.

Unlike a basic report wizard that only analyzes historical data, Service Pro BI uses both historical and current data, so users can get a complete view of their service operations. Then users can choose from 19 available visualization types, including bar

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Leading the Way in Data Analysis for Business Intelligence

Click to learn more about author Samuel Bocetta.

Companies are implementing business strategies
with some key objectives in mind: cost reduction, improvements in efficiency,
and enhanced profitability.

Business intelligence can add huge value in these areas, which is why professionals in business intelligence and data analysis are in great demand. In a 2017 IBM report, the demand for data scientists in the United States was expected to increase to 28 percent by 2020. Now here we are.

Business intelligence involves the analysis of past and current data in order to provide practical insights for informed decision-making. The data can be diverse depending on needs. For example, it can include sales that result over a specific length of time, client behavior, or operating costs. Data analytics also often involve prescriptive analysis and predictive modeling.

These and other methods are merged by
experienced professionals with artificial intelligence (AI) and machine
learning (ML)

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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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