Business Intellegence

Business Intelligence

Business intelligence is an umbrella term that includes the applications, people, infrastructure, tools and best practices that allow you to access and analyse information in order to improve and optimise decisions and performance. Business intelligence has become an imperative for both private and public companies and organisations and may lead to cost reductions, better and faster decision-making processes and an easier identification of new business opportunities. 

The MSc in Economics and Business Administration – Business Intelligence includes a discussion of the procedural and technical infrastructure that collects and stores the data produced by company’s activities. The programme focuses on how to analyse data in order to predict and recognise patterns and on how to visualise and present results in order to support managerial decision-making.  


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A Brief History of Business Intelligence

business intelligenceIn 1865, Richard Millar Devens presented the phrase “Business Intelligence” (BI) in the Cyclopædia of Commercial and Business Anecdotes. He was using it to describe how Sir Henry Furnese, a banker, profited from information by gathering and acting on it before his competition. More recently, in 1958, an article was written by an IBM computer scientist named Hans Peter Luhn, describing the potential of gathering Business Intelligence (BI) through the use of technology. Business intelligence, as it is understood today, uses technology to gather and analyze data, translate it into useful information, and act on it “before the competition.” Essentially, the modern version of BI focuses on technology a way to make decisions quickly and efficiently, based on the right information at the right time.

In 1968, only individuals with extremely specialized skills could translate data into usable information. At this time, data from multiple sources was normally stored in

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11 Best Freelance Business Intelligence Developers for Hire in March 2020

Tripcents wouldn’t exist without Toptal. Toptal Projects enabled us to rapidly develop our foundation with a product manager, lead developer, and senior designer. In just over 60 days we went from concept to Alpha. The speed, knowledge, expertise, and flexibility is second to none. The Toptal team were as part of tripcents as any in-house team member of tripcents. They contributed and took ownership of the development just like everyone else. We will continue to use Toptal. As a start up, they are our secret weapon.

Brantley Pace, CEO & Co-Founder


In addition to sharp technical skills, Faruk had a great attitude and is a really exceptional communicator. He always let us know where he was with his work, thoroughly and reliably. That’s not always the case, and it made working remotely considerably easier. He was an easy integration into the team.

Leif Abraham, Co-Founder

AND CO Ventures Inc

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Data Science vs Business Intelligence: What’s the Difference

Big data is the next big thing — and trained professionals who know how to squeeze commercially useful information out of data are in high demand. Companies in industries of all kinds are increasingly relying on business intelligence analysts and data scientists to give them an edge over their competitors and help boost profits.

Business analysts and data scientists work together to turn raw data into useful information. They fill different, but related, roles. Both types of professionals are highly sought after, but which job pays more? While both positions are well paid, a career in Business Intelligence analysis will get you a six-figure salary much sooner, since it requires less formal experience than a career in data science.

Business Intelligence Analyst vs. Data Scientist: Understanding the Difference

Data scientists and Business Intelligence (BI) analysts have different roles within an organization; usually, a company needs both types of professionals to

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Business Intelligence (BI) Software for Everyone


Business Intelligence tools for intelligent business


Save time with reliable metrics that everyone can agree on.


Work from a single source for all your data—when and where you need it most.


Find more than answers through integrations with 3rd-party tools.

Your data, your business, your metrics

Define how different data sources relate to one another and what that data means. Then, combine all your data to get a full view of the metrics that represent your company.

Data modeling in Looker

A 360° view of your customer

Give every employee the ability to see a customer across touchpoints and unlock personal interactions with them.

Whether identifying upsell opportunities, understanding usage patterns of successful customers, or creating more tailored messages, your business efficiency will improve as customer understanding increases.

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Tell a story with your data

Great visualizations and dashboards are at the core of any

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Business intelligence | Article about business intelligence by The Free Dictionary

Stay up-to-date with Business Intelligence and Analytics Software Market research offered by HTF MI.
The Business Intelligence Group says that the award is conferred to honour executives who improve quality of life with their leadership and business strategies.
Siemens is accelerating its digital transformation with help from Accenture’s support for data analytics and business intelligence services around:
Siemens is accelerating its digital transformation with help from Accentures support for data analytics and business intelligence services around: The development and support of initiatives for Siemens for data analytics and business intelligence infrastructure; The establishment of new agile ways of working in the data analytics and business intelligence space that will help drive innovation; The development of new analytics services; and The creation of solutions and services to automate basic data analytics and business intelligence tasks through robotic process automation.
“We are gratified to once again our Business Intelligence tool is included
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What is Business Intelligence? – Database Trends and Applications

Business Intelligence (BI) systems are used to improve an enterprise’s decision making by combining tools for gathering, storing, accessing, and analyzing business data. While traditional features for querying, reporting, and analytics have long been the core focus of these tools, BI has evolved in recent years to become comprehensive, enterprise-wide platforms, and newer trends, such as self-service BI, have helped to continue interest in this technology.

BI is a combination of the tools and systems involved in an enterprise’s strategic planning that aid in its analysis. 

These solutions provide a single source through which to analyze a company’s disparate data sources, permitting users to execute queries without the assistance of technical staff. Over the past several years, they have evolved from narrowly focused query and reporting tools to enterprise-wide platforms. The resulting single source offers not only current, but also historical and predictive views of operations.

Sometimes referred to as

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Business Intelligence Market Intelligence | Price, Forecast, Cost Models, Market Analysis

The global business intelligence market is expected to reach $22.8 billion by 2020 while growing at a steady CAGR of 7.6 percent. Regions such as North America and Europe have high market maturity, and APAC is anticipated to experience a high market growth. Big data analysis, demand for data-as-a-service, and a desire for personalized and self-service business intelligence industry capabilities are some of the major drivers for the  market. The business intelligence market is expanding in countries like U.S., UK, and Japan, due to the advent of mobile, cloud, and social business intelligence solutions. The penetration of business intelligence is relatively moderate in regions such as the LATAM, APAC, and MEA.

The platform for business intelligence and market research is undergoing a significant technological shift that includes data analysis for free-form text exploration, content authoring, and a greater adoption of cloud technologies. The report

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Clinical & Business Intelligence | HIMSS

Clinical and business intelligence is the aggregation, analysis, and use of clinical, financial, operational, and non-traditional data captured inside and out of the healthcare setting to directly inform decision-making. It has the power to positively impact patient care delivery, health outcomes, and business operations. Leveraging the power of clinical and business intelligence will improve our nation’s entire healthcare system as well as the medical and economic wellness of patients.

Clinical and business intelligence solutions aggregate data from IT systems and other non-traditional data sources into secure repositories or federated databases for the purpose of analysis. Combining the best of both business intelligence and clinical intelligence, it provides historical and predictive views of the organization’s operations — and a similar view of clinical care — in order to enable better business decisions and improve patient care delivery, all while improving the organization’s fiscal sustainability.

HIMSS’s clinical and business intelligence efforts empower

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Important Business Intelligence Skills With Examples

Do you have the top business intelligence skills employers are looking for? Business intelligence (BI) involves analyzing data sets and software programs in order to help a company make better business decisions.

Executives and managers need to be familiar with business intelligence in order to make effective decisions for their companies based on data. However, data architects, data analysts, and business intelligence analysts all need strong BI skills as well.

What Are Business Intelligence Skills?

Business intelligence is a technology-driven process, so people who work in BI need a number of hard skills, such as computer programming and database familiarity. However, they also need soft skills, including interpersonal skills.

Below you’ll find information on business skills for resumes, cover letters, job applications, and interviews. 

Types of Business Intelligence Skills

Data Analysis

The key task for someone in business analytics is to translate data into actionable information so that

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