CEIPAL Releases Native Business Intelligence Platform to Deliver Comprehensive Insights for Staffing Professionals & HR Executives

CEIPAL Launches Native Business Intelligence Platform to Deliver Comprehensive Insights for Staffing Industry

“The data CEIPAL’s BI provides is astounding. Suddenly my ATS is more than a software—it’s an analyst too.”

CEIPAL, an industry-leading talent acquisition automation platform, today announced the launch of a new business intelligence module that will furnish staffing firms with data-driven insights, driving productivity, profitability, and efficiency.

Reporting is a notoriously weak area for ATS platforms, especially for those founded +20 years ago. Older platforms have failed to deliver relevant business insights for staffing companies. Common, industry-wide complaints include difficult-to-understand reports, lack of customizability, and irrelevant metrics. Other customers note the extra up-charge fees for customized report creation.

ATS platforms attempt to solve these problems by integrating with other reporting platforms—but these integrations are costly and faulty, creating room for error. Another standard solution involves customers coordinating

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A Beginner’s Guide to Business Intelligence (BI) in 2020

Intelligence isn’t just for three-letter organizations trying to uncover the next plot in the United States. It’s also for businesses hoping to gain an edge in their industry.

And if you aren’t using it, you’re going to be left behind very quickly. By the end of 2019, 90% of large global organizations will have a chief data officer (CDO), according to Raconteur. That shows how importantly companies are taking their stockpiles of data.

Companies who don’t conduct good business intelligence (BI) will always be at the mercy of competitors who do, because the latter will understand where to put their resources and how they can get an edge when the market shifts — and it always does.

Overview: What is business intelligence?

Business intelligence is a key part of business development that refers to any sort of data retrieval and analysis that can help a business better understand their industry,

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6 Key Areas of Business Intelligence in the New Era

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Stephanie Shen

Back in 1958, Han Peter Luhn, a researcher at IBM, initiated the concept of Business Intelligence (BI), using the definition from Webster’s Dictionary: to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal. Given its definition, Business Intelligence is indeed a vision. It should not be represented by the tools or technologies designed at some given time. In other words, it should be viewed as a company’s strategic vision for transforming data assets into business insights to make data-driven decisions.

Historically, there were two eras that revolutionized and popularized the concept of Business Intelligence. The first was in the 1980s when relational database was invented and became the mainstream tool for data collection and data storage. Database, along with SQL, enabled businesses to access information more quickly to make business decisions based on current facts

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Home Business Entrepreneur as Entrepreneur: how to be successful




The Home Business Entrepreneur (HBE) does not usually hire employees. He or she prefer to work independently. However, they are often good at interpersonal interaction. Therefore, they understand and consider other people’s feelings, including those they have professional relationship with. The most suitable type of business for the HBE is a home-based business. In this business model, customers are either individual clients or other businesses. As a rule, the HBE likes to stick with established contacts rather than switching them often. To that end, he or she will try to maintain and develop their contacts.



The largest comfortable business magnitude for the Home Business Entrepreneur type: Small





Necessary Steps for Success in Your Business


As an HBE, self-motivation is essential for you. You are likely to doubt your venture’s success, and sometimes you might be intimidated

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Business Intelligence Platform Market COVID -19 Impact Study of Emerging Trends, Size, Revenue and CAGR

The MarketWatch News Department was not involved in the creation of this content.

Jun 26, 2020 (CDN Newswire via Comtex) —
Changsha, China, HongChun Research: The global Business Intelligence Platform market focuses on encompassing major statistical evidence for the Business Intelligence Platform industry as it offers our readers a value addition on guiding them in encountering the obstacles surrounding the market. A comprehensive addition of several factors such as global distribution, manufacturers, market size, and market factors that affect the global contributions are reported in the study. In addition the Business Intelligence Platform study also shifts its attention with an in-depth competitive landscape, defined growth opportunities, market share coupled with product type and applications, key companies responsible for the production, and utilized strategies are also marked.

This intelligence and 2026 forecasts Business Intelligence Platform industry report further exhibits a pattern of analyzing previous data sources gathered from reliable sources and

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Steps for an Effective Business Intelligence Implementation Strategy

steps for effective Business Intelligence implementation
It is widely accepted that when English Banker, Sir Henry Furnese increased his profits after gathering information way back in the 1800s, the term Business Intelligence was coined.

Imagine you are the captain of a ship that has a broken compass and no way to navigate towards your destination. It is how many businesses operate, and then they lament the fact that their business isn’t ‘going anywhere.’ Business intelligence tools let you know whether your business is on the right track or not.

Business Intelligence is a necessity now as companies cannot survive without gaining critical information about their business. BI analyzes past and current data to predict future trends.

BI combines internal as well as external data to provide various insights to businesses like which product to launch and when, which demographic market to target first, and analyze their marketing efforts. BI acts as a roadmap to lead your

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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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BI Leverage, At Cloud Scale, In Record Time


Now more than ever, your business needs to respond quickly. Modernize your business with BI leverage at cloud scale in record time.

Get your employees back to work safely, make informed decisions, and ensure business continuity with Domo’s Get Back To Work solution.



Have confidence in your decisions, and get the most out of your teams and data, no matter what gets thrown at you.

Clearscore gains high-leverage BI thanks to Domo.

DHL ordered a week’s worth of data collection in an instant. Domo delivered at unbelievable speed.

Domo helped Traeger make decisions orders of magnitude faster in the cloud era.

Zillow used actionable data in Domo to simplify billing processes and reduce billing time by 90%.

Modernize + mobilize any business process to run, learn, and serve—on the fly.

Go fast.

Instrument key processes so everyone can understand and improve operations—as it happens.

Go big.

Trillions of

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Getting Started with SAP BusinessObjects Business Intelligence 4.3

This blog provides an overview of the available resources to get started (or keep going) with the latest SAP BusinessObjects Business Intelligence 4.3 release.

Product information, documentation, product support, downloads, licenses, community blogs and Q&A, training, certification, books, and more, conveniently brought together for your bookmark collection. Follow the blog post to be notified about updates.

Any good? Post a comment, share on social media, and/or give a like. Thanks!

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Let There Be Light

With the release of the SAP BusinessObjects Business Intelligence suite 4.3 earlier this month, la grande dame of business intelligence stepped back into the lime lights. We find SAP Business Intelligence Portfolio listed, for example, on the latest Data Value Formula diagram as on-premises offering that complements SAP Analytics Cloud.

Business Technology Platform

For a product whose heritage goes back to 1984 and a Canadian shipping company who needed some Quik Reports 1 this is great news indeed for

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Best Business Intelligence (BI) Software & OS options for 2020

The world is in between huge technological transition. Every day there is more use of technology-intensive tools in place of traditional ones. Old tricks used to be tedious, costly, mostly false, and often harmful.  As a result, business intelligence is not what it use to mean a decade ago.

Today, increased automation is making companies to go on the look-out for up-to-date business intelligence software to keep up with the new global technology order. We know that data is the main part that is driving this change. Take for example our growing need for datification to improve our minor as well as major affairs.

Companies around the world are using datification to turn our daily lives into a huge mass of data. This is why datification is the heart of data science. This unique field of science works closely with business intelligence (BI) and many other fields e.g., scientific computing,

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