Smart Data Collective

SEPTEMBER 21, 2022

Below are a few examples of job specific skills you should look for when you read applicants’ CVs and cover letters, depending on the role you’re hiring for: Data Analysis. Project Management Skills. The old adage that you can build a better mousetrap and the world will beat a path to your door doesn’t hold up.

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Datapine Blog

MARCH 25, 2019

With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. Exclusive Bonus Content: Why Is Analysis Important? What Is A Data Analysis Method?

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Smart Data Collective

FEBRUARY 9, 2022

A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Let’s dive right into how DirectX visualization can boost analytics and facilitate testing for you as an Algo-trader, quant fund manager, etc. But first, What is DirectX Anyway? Final thoughts.

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Datapine Blog

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. As of this moment, just 5% of all accessible data is analyzed and used – just think of the potential.

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Datapine Blog

SEPTEMBER 27, 2022

Structured Query Language (SQL) is the most popular language utilized to create, access, manipulate, query, and manage databases. That said, knowing the SQL basics will help you understand your organization’s data and better generate actionable insights. Explore our rundown of SQL books and either begin or continue your journey today.

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Data Analysis Knowledge Analysis Business Intelligence 117

Datapine Blog

OCTOBER 25, 2022

Now that we’ve established the undeniable importance of BI in the digital age, let’s explore the books that will assist you in gaining the knowledge in addition to the skillset you need for success. 1) “Data Strategy: How To Profit From A World Of Big Data, Analytics And The Internet Of Things” by Bernard Marr.

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CIO

JANUARY 20, 2023

Rather, BI offers a way for people to examine data to understand trends and derive insights by streamlining the effort needed to search for, merge, and query the data necessary to make sound business decisions. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

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Datapine Blog

MAY 14, 2019

Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish.

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Algorithm Data Analysis Knowledge Analysis 140

Datapine Blog

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. For instance, you will learn valuable communication and problem-solving skills, as well as business and data management.

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Elegant BI

DECEMBER 12, 2018

Many businesses are just discovering the benefits of self-serve business intelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s business intelligence initiatives are morphing into advanced analytics efforts.

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Elegant BI

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales. How is Advanced Analytics Different from Business Intelligence?

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Business Intelligence Intelligence Intelligence Predictive Analytics 52

Datapine Blog

MAY 29, 2019

A solid BI architecture framework consists of: Collection of data. Data integration. Storage of data. Data analysis. Distribution of data. The output difference is closely interlaced with the people that can work with either BI or data warehouse. Reaction based on insights. click to enlarge**.

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Elegant BI

MAY 22, 2017

The Marketing and Sales teams might want to optimize loyalty programs , using churn analysis, acquisition potential, cross sales and other algorithms to design a loyalty program that offers value to the business and its customers. About Kartik Patel.

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Analysis Predictive Analytics Data Mining Algorithm 52

Datapine Blog

MARCH 25, 2022

BI and BA will provide an organization with a holistic view of the raw data and make decisions more successful and cost-efficient. But first, we need to analyze the difference more, as that will help us to understand what to do in a company’s operation process, and how to choose the best tool to manage your insights.

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Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. Attention needs to be paid to the fact that it’s not always possible to archive or analyze all the data that’s being produced. It’s much easier to work with graphs.

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