What is Data Mining?

What is Data Mining?

By Bryce Finnerty

What is Data Mining? Data mining is looking at a lot of data and trying to get valuable information out of it. Data mining deals with large data sets… Read More


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                    [post_content] => What is Data Mining?

Data mining is looking at a lot of data and trying to get valuable information out of it.

Data mining deals with large data sets that would take too long to go through manually. So, data scientists create and use programs or software to look at these huge data sets and discover patterns in the data.

The core of data mining is turning data into information. It can be overwhelming to look at a lot of data and not see the value in it.

But what happens if you are a company and do not have so much information you need a program to determine the data you have?

When dealing with smaller sets of data, you don’t necessarily need to hire a team of data scientists. You need someone who understands data and can extract it enough to show you it visually.

HingePoint Data and Data Detective Work

Before you can mine your data for trends, you need to understand what data you have and if it is good or bad data. This is fundamental to using data to maximize your business.

We call this the Data Detective phase of our unique process. The goal is to get Hinge Point Data, which is data that if accessed and visualized the right way can revolutionize and transform your business.

A HingePoint is the point where something literally pivots. It’s the turning point where you are going to see a significant change take place.

We found this happens best when you have the right data to make the best decisions or keep employees and customers the best informed.

HingePoint executes this fundamental level of data detection with our data dictionary work. When we work with a customer, we go into the data and define every piece of data they have.

With our Data Dictionary we identify the following:
  • Where is it?
  • What database?
  • What table?
  • What system?
Ideally, we’d go into the actual database and look at the tables and categorize and classify each column and data set. Once our customer understands what data they actually have, we can begin creating solutions that will mine for the data they want and need to maximize their business.

Chapter Four:

What is Data Visualization?

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Are spreadsheets good for managing data

Excel is great for what it does with data. You can even connect Excel to data visualization software like Power BI.

A lot of companies use Excel to create pivot tables, look at line-item lists and build graphs. But some businesses rely on it way too much. If you’re running large data sets or entire projects in Excel, then you might want to consider what you are missing with a tailored solution that can give you more accurate data more of the time.

Permissions

In Excel, anyone can update a spreadsheet who has access to it. It’s just a spreadsheet that someone updates by hand.

However, if you are using a database and a platform like SharePoint, only people with the proper permission can edit fields. Whereas in a spreadsheet, anyone who has the spreadsheet can edit whatever they want.

If you have all your financial data in Excel, why would you let someone who is not in accounting make official edits to financial data? There are no controls on the data in a spreadsheet.

Automation

If you are using Excel, chances are your data is not automated, which means data is not flowing from software that collects the data to the software that projects that data with visualization tools.

If a data transfer is not automated, then guess what? You are doing data entry and copy and pasting cells. Not only are you wasting extra time and resources, you risk making errors with your data.

Accuracy

Check out our story on why your data is not accurate.  Humans enter data into the Excel fields. With every human task, there are inevitably errors that will be made with data entry. Even a hidden decimal or hidden row can cause your entire excel sheet to be inaccurate.

With a data entry process or the right enterprise-level software, you can control what data you enter with checkboxes and dropdowns. This limits possible entries and errors.

Chapter Six:

How to Control Human Resource Employee Data

Quit the Spreadsheet

Use the tools large enterprises use, control your data with SharePoint

Managing Data with SharePoint Will Transform Your Business

Are you managing your entire company from a spreadsheet? How are you going to grow with those document management tools? Does your SharePoint work the way you want it to? If you properly implement SharePoint, it will transform your company's productivity. Employees will be more efficient, you'll have better access to your company's data, and you'll be able to better report on key metrics. HingePoint’s custom SharePoint solutions have helped many companies struggling with unorganized data and manual, multi-step processes. Those same customers have transitioned into a more organized, productive organization through automated workflows and easy-to-search information. [post_title] => 3 Reasons You Should Quit Managing Data with Spreadsheets [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => 3-reasons-quit-managing-data-spreadsheets [to_ping] => [pinged] => [post_modified] => 2018-02-21 00:08:13 [post_modified_gmt] => 2018-02-21 06:08:13 [post_content_filtered] => [post_parent] => 0 [guid] => https://www.hingepoint.com/?p=12961 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 2 [current_post] => -1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 12971 [post_author] => 3 [post_date] => 2017-07-21 11:04:15 [post_date_gmt] => 2017-07-21 16:04:15 [post_content] => What is Data Mining? Data mining is looking at a lot of data and trying to get valuable information out of it. Data mining deals with large data sets that would take too long to go through manually. So, data scientists create and use programs or software to look at these huge data sets and discover patterns in the data. The core of data mining is turning data into information. It can be overwhelming to look at a lot of data and not see the value in it. But what happens if you are a company and do not have so much information you need a program to determine the data you have? When dealing with smaller sets of data, you don’t necessarily need to hire a team of data scientists. You need someone who understands data and can extract it enough to show you it visually. HingePoint Data and Data Detective Work Before you can mine your data for trends, you need to understand what data you have and if it is good or bad data. This is fundamental to using data to maximize your business. We call this the Data Detective phase of our unique process. The goal is to get Hinge Point Data, which is data that if accessed and visualized the right way can revolutionize and transform your business. A HingePoint is the point where something literally pivots. It’s the turning point where you are going to see a significant change take place. We found this happens best when you have the right data to make the best decisions or keep employees and customers the best informed. HingePoint executes this fundamental level of data detection with our data dictionary work. When we work with a customer, we go into the data and define every piece of data they have. With our Data Dictionary we identify the following:
  • Where is it?
  • What database?
  • What table?
  • What system?
Ideally, we’d go into the actual database and look at the tables and categorize and classify each column and data set. Once our customer understands what data they actually have, we can begin creating solutions that will mine for the data they want and need to maximize their business.

Chapter Four:

What is Data Visualization?

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