What is data?

What is data?

By Bryce Finnerty

What is data? Many businesses struggle when accessing, finding, mining, cleaning and organizing data about their business. We help a lot of businesses… Read More

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

What is Data Visualization?

What is Data Visualization?

By Bryce Finnerty

Many businesses are still creating reports and comparing and contrasting business trends with PDFs exported from Excel instead of using the latest data visualization… Read More


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                    [post_content] => 

Check out the HingePoint Booth (#317) at Groundbreak 2018 in Austin, TX, November 13-15 2018.

Groundbreak is THE construction conference of the year, with over 3,000 attendees representing top ENR companies, over 70 sessions on topics such as hiring during a labor shortage, AR/VR, increasing job site productivity, leveraging technology to maximize ROI, and getting the most out of mobile, plus, work alongside developers at the industry's only Innovation Lab. HingePoint is thrilled to attend this event as a vendor. After all, we consult, develop, and integrate software for the construction industry. When and Where is the Groundbreak Conference? Groundbreak is November 13-15, 2018 at the Austin Convention Center in Austin, TX. How to Register? You can visit Procore.com/groundbreak for details on the event or click HERE to register and purchase your tickets. The Cost of Groundbreak Conference? You have until April 30, 2018, to purchase tickets at the early bird price, which is currently $995 (a $300 savings off the full price of $1,295). Afterward, ticket prices will increase to $1,095. Tickets purchased after 8/31/18 will be $1,295, so be sure to purchase your ticket(s) now! --

About HingePoint

HingePoint offers cloud and mobile applications for construction and real estate that are easy to adopt and employees love. Specializing in the systems that run the construction and real estate business including SharePointSalesforceProcoreMS Dynamics, and Autodesk. Scale and grow profitably with Financial and Project Management Dashboards, document management, and workflow automation for field to office collaboration. HingePoint 8105 Rasor Blvd. Suite 241 Plano, TX 75024 (214) 301-0000 www.hingepoint.com [post_title] => HingePoint Announces Groundbreak 2018 Conference Exhibitor [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => groundbreak-2018-conference-exhibitor-announcement [to_ping] => [pinged] => [post_modified] => 2018-11-11 15:32:41 [post_modified_gmt] => 2018-11-11 21:32:41 [post_content_filtered] => [post_parent] => 0 [guid] => https://www.hingepoint.com/?p=14352 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [1] => WP_Post Object ( [ID] => 14266 [post_author] => 3 [post_date] => 2018-03-29 23:29:36 [post_date_gmt] => 2018-03-30 04:29:36 [post_content] =>

Construction Project Management: Stop Using Spreadsheets

Having and maintaining accurate, up-to-date employee data is crucial in the construction business. If your business is rapidly growing (like so many other construction companies in the Dallas area where HingePoint is headquartered) and you’re onboarding employees, vendors, and contractors, accurate data on who your employees are and what they are working on is critical for success. Although it sounds like a simple task, project management for construction companies can be quite challenging and lead to more serious issues if not managed properly.

The Spreadsheet Problem

Many of our clients in the construction industry previously used Excel spreadsheets to manage their financial data, employee data, project status, and assets. Some were using old versions of SharePoint with unorganized data. When working with software and older systems, data about employees are prone to be full of errors (out-dated and inaccurate). The trick is to get up-to-date, accurate information out of your data management system instead of old, error-prone data. Spreadsheets are great tools for handling smaller and more manageable datasets. But what happens when you start hiring 10, 100, or even 500 employees at a time while managing employee data in a spreadsheet or in multiple, unstructured databases? It gets unmanageable - fast. As your construction business grows, more departments need human resource employee data because more information is attached to each employee. And soon, just having the right name, address, phone number, and social security number across the enterprise become more challenging if you don’t have the right controls and organization. If this data is in an actual spreadsheet, then anyone can enter and change data in that workbook. (See: Why spreadsheets don’t manage big data sets well)

The Situation

For example, a manager could get access to a Human Resource spreadsheet with employee names and other important information. Let’s say the manager has an employee named Suzanne, but she likes to be called Suzy. The manager changes the data because they can and there are no restrictions preventing it. But there is a big problem. Now the source data – the system of record – is not consistent/accurate. Suzanne will be called different names in different versions of spreadsheets. (Check out our FREE eBook on The Secret To Systems Integration: The System Of Record.) Throw time in there, too. Perhaps “Suzy” is a contractor who is keeping her time in a spreadsheet that gets sent to her manager. The manager sends Suzanne’s hours and all contractors to Human Resources so they can get paid. The manager’s project data is being merged with HR’s data. The problem is that we have two different names in the system. “Suzanne” and “Suzy”. No VLOOKUP formula or Pivot Table is going to solve this. It’s going to take someone to manually go in and fix the data. This might not seem like a big deal, but as the company grows, these smaller errors will multiply in other departments. Once this happens, the employee data cannot be trusted, and it will take a lot of manual work to fix the errors each pay period. The data problems can become so big that businesses end up just not trusting their data, causing a lot of rework, manual data entry, etc.

The Solution

A lot of construction companies we work with the hope that the software an IT company is going to install will solve the data problem. Unfortunately, this just adds another layer of complexity to the original problem. The problem that needs to be solved is how you're going to clean up your data, actually collecting it, and then showing it in a way that lets you see the data in a new light. Ideally, you want to make decisions with information that automatically reports to you. Seeing year-over-year and month-to-month views of data can quickly identify trends. With the right devices collecting the data and the right systems transposing it into information, humans can focus on making strategic decisions that will make their customers happy. That is how technology should work. And that what HingePoint can help you acheive! If you're looking to solve your company's HR and Project Management employee data problem, we'd love to hear what you're looking to accomplish! Feel free to start a live chat with our solution consultant on this page, email us, or call us at (214) 301-0000 to get started today. --

About HingePoint

HingePoint offers cloud and mobile applications for construction and real estate that are easy to adopt and employees love. Specializing in the systems that run the construction and real estate business including SharePointSalesforceProcoreMS Dynamics, and Autodesk. Scale and grow profitably with Financial and Project Management Dashboards, document management, and workflow automation for field to office collaboration. HingePoint 8105 Rasor Blvd. Suite 241 Plano, TX 75024 (214) 301-0000 www.hingepoint.com [post_title] => Best Practices for Construction Companies to Control Employee Data [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => best-practices-for-construction-companies-to-control-employee-data [to_ping] => [pinged] => [post_modified] => 2018-10-22 00:34:23 [post_modified_gmt] => 2018-10-22 05:34:23 [post_content_filtered] => [post_parent] => 0 [guid] => https://www.hingepoint.com/?p=14266 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [2] => WP_Post Object ( [ID] => 13050 [post_author] => 3 [post_date] => 2017-08-15 08:20:24 [post_date_gmt] => 2017-08-15 13:20:24 [post_content] => Drones have a rapidly growing presence at construction sites where they help verify that work has been performed properly, on time, on schedule and according to plan while reducing the subjective manual data. But a big problem that has arisen from the onslaught of drones is how can general contractors or property owners use drones to add value to what really matters – better monitoring and managing their projects and actually get useful insights out of the drone flights? Drones that just fly high over job sites are limited with their ability to capture the entire site, and imagery taken by workers from ground level are usually out of context and hard to manage. It’s been extremely difficult to bring a drone’s construction-verification imagery, especially into a 3D BIM model. But Dronomy has software that offers a robust solution to this problem. “It adds knowledge to construction,” VP of Business Development said Gil Mildworth said. Dronomy is a very exciting Israeli startup that created SiteAware, powerful technology that transforms off the shelf consumer drones into a sensor with brains that can create 3D “as built” models of construction sites just by flying a construction site. What makes this company even more exciting is their ability to get the drones to autonomously fly low and close to the actual structure, capture high-resolution data from all angles which allow for high-accuracy analysis of the construction project. Dronomy can use the aerial imagery to build 3D models that can be overlaid and compared to BIM “as planned” models. General Contractors can compare each BIM model created by Dronomy to the previous model comparing “as planned” to “as built” over time. The solution, called SiteAware by Dronomy, also integrates to the existing workflows of the GC’s to provide automated content adding visual perspectives to punch-lists and for RFIs. “We allow GCs and owners to continuously and remotely monitor their construction projects, adding unparalleled insights. The ability to compare the intention and the actual result of the construction is what adds value” Mildworth said. “You can even see what changed in the project automatically over time with our 4D progress report.” Dronomy, HingePoint SiteAware automatically highlights the delta or what has changed between models so the user can easily see and document what has changed on a daily, weekly or monthly basis. “You can get half-inch-level accuracy for measurements just with simple autonomous drone scan of the work site,” Mildworth said. The software is ideal for construction sites that are building from the ground up, like commercial or high-rise buildings, and sites that have many buildings, like a large apartment complex. This is where Dronomy differentiates itself as compared to others in the market. [post_title] => Dronomy’s SiteAware Links Drone Data to Revit Models, Transforming Construction Sites with Drones [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => dronomy-siteaware-links-drone-data-to-revit-models [to_ping] => [pinged] => [post_modified] => 2018-01-24 05:03:01 [post_modified_gmt] => 2018-01-24 11:03:01 [post_content_filtered] => [post_parent] => 0 [guid] => https://www.hingepoint.com/?p=13050 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [3] => WP_Post Object ( [ID] => 12956 [post_author] => 3 [post_date] => 2017-07-31 10:50:29 [post_date_gmt] => 2017-07-31 15:50:29 [post_content] => What is data? Many businesses struggle when accessing, finding, mining, cleaning and organizing data about their business. We help a lot of businesses using SharePoint, Salesforce, and Power BI and other enterprise tools, and almost always, they need help migrating, mining and cleaning their data. We want to explain the data that can maximize your business. What is it and what kind of data do you need to transform your business so you can make quicker and more accurate decisions? Types of Data Bad Data – Several companies we worked with have Customer Relationship Management (CRM) systems. A CRM is software that keeps track of your customer and prospect information, like Salesforce. Sometimes the information in the system gets unorganized. For whatever reason, the data in the CRM cannot be trusted. The phone numbers don’t match with the right customers. Address fields are not lined up and the information cannot be trusted. This is bad data. The test to determine if you have bad data is to ask yourself, “Would I make a major business decision based on this data?” If the answer is no, you might need help cleaning your data. Good Data – Good data is accurate; it can’t be faulty. It’s got to be true data and it reflects what happened in the real world. If you hired a new employee and his name is Jonathan, your human resources records, and all other records need to state that the new employee's name is Jonathan. Not Jon or Jonathon. Obviously, good data is the opposite of bad data. It’s data that is clean and accurate. Think of the CRM again. All fields are lined up and it can be trusted. But this is not the best form of data. Information can be accurate, but if it’s difficult to find and analyze then it is not going to do very much for you. If the goal is to analyze your data to see trends and make decisions, the data needs to be accessible and visual. HingePoint Data – This isn’t just a shameless plug for our business; you do need more than just good data. Let us explain. A hinge point is a point where things change. A HingePoint is a point where something literally pivots. It’s the turning point where you are going to see a significant change take place.To get HingePoint data it needs to be good, accurate and visual data. The goal of Hinge Point Data is to give you the insights that revolutionize and transform your business. Data is accurate, clean and can be trusted about a particular subject. But you need to be able to easily compare and contrast this data. Data helps us understand what is really going on, then we can make more informed decisions. It can help you make predictions and forecasts by understanding the trends of your business. HingePoint covers the AEC Industry and is the author of The AEC Industry 4.0 Report and the Autodesk Industry Report 2017. HingePoint helps construction and real estate development companies take control of their company’s information. We combine systems, software, and data so all company information can be seen and accessed from one screen, like a smartphone or computer. HingePoint provides Procore, SharePoint and Salesforce consulting for Commercial Real Estate and Construction companies. HingePoint also helps the AEC industry with development & integration of AutoDesk and Procore products with enterprise systems. We are a trusted partner with over 25 years experience of systems development and integration work in the AEC industry. Our clients range from top hotel brands and restaurant chains to AEC firms and real estate developers and Facilities Management. We provide BIM with ROI. Results Guaranteed…Literally Guaranteed. [post_title] => What is data? [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => what-is-data [to_ping] => [pinged] => [post_modified] => 2018-02-21 00:06:53 [post_modified_gmt] => 2018-02-21 06:06:53 [post_content_filtered] => [post_parent] => 0 [guid] => https://www.hingepoint.com/?p=12956 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [4] => WP_Post Object ( [ID] => 13017 [post_author] => 3 [post_date] => 2017-07-28 12:45:14 [post_date_gmt] => 2017-07-28 17:45:14 [post_content] => If you are just starting to get your feet wet with better data management workflow for your business, here are three key aspects of data that you should consider while creating accurate reports on your KPIs.    We’d like to teach you an oversimplified data workflow that works for data management, no matter what company you are in.  We think there are three pieces to a data workflow: 
  • Devices 
  • Systems (like software) 
  • Humans 
 This is how we categorize data flow when we onboard a new client. We’re going to use the airline industry to show you the different categories of data management.
Devices – device We should use devices to collect data. Sometimes people must collect data. But if we can use a tool it will save a lot of time and get rid of a ton of busy work. Let’s look at the airline and weather example. Instead of making people continuously report the temperature in various cities, devices collect this information. Could you imagine how much tickets would be if people had to report this data?  
system Systems (Like software) – Many times devices collect data and then people turn it into information for senior leaders to make decisions. Many employees in corporate America are “Deck Donkeys,” which means the solely create decks to share information. These Power Point decks are typical graphs, reports, etc. Taking the airline industry example, instead of someone constantly making reports on the weather and showing where there is inclement weather, the airline industry has software that automatically reports on severe weather. Based on the weather, systems can predict airport congestion, taxi times and even what runways will be available and when. You can read a blog o n how The Weather Company uses systems for prediction.
human Humans – Humans ultimately make the decisions. Let’s look at the airline industry one last time. After looking over the information on freezing temperatures, the information is funneled to the pilots, control towers, and airlines so they can make the best decisions for passengers. More from The Weather Company:
Airlines cannot change the weather, but they can mitigate the effect if they know the impact in advance. By understanding situations and the potential of their impacts ahead of time, airlines can execute time-sensitive strategies (such as flight cancellation, flight swaps, reserve crew, and etc.) to mitigate such impacts.
Could you imagine what would happen if ALL this work was completed by a human? There would certainly be errors and airline prices would be even higher! With the right devices collecting the data and the right systems transposing it into information, humans can focus on making strategic decisions that will make their customers happy. That is how technology should work for us.

Chapter Eight:

Data Management Strategy Evaluation with HingePoint

[post_title] => The Oversimplified Data Management Workflow [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => data-oversimplified-workflow [to_ping] => [pinged] => [post_modified] => 2018-02-21 00:07:32 [post_modified_gmt] => 2018-02-21 06:07:32 [post_content_filtered] => [post_parent] => 0 [guid] => https://www.hingepoint.com/blog/aec/bim-oversimplified-workflow-copy/ [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [5] => 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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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 ) [7] => WP_Post Object ( [ID] => 12951 [post_author] => 3 [post_date] => 2017-07-14 08:01:08 [post_date_gmt] => 2017-07-14 13:01:08 [post_content] => Many businesses are still creating reports and comparing and contrasting business trends with PDFs exported from Excel instead of using the latest data visualization tools. But what is data visualization? Data visualization is looking at your key metrics and data with a graph, and it is usually on a dashboard. Think the dashboard in your car; it shows your gas tank, your speed, your miles. You can have a dashboard for your business with your sales funnel data, financial data and project hours for employees. However, all of this assumes your data is clean and can be trusted. If you don’t have data you can trust, then you definitely cannot use this data to make sound business decisions. Currently, a lot of companies look at their sales and financial data as line items on a sheet. If you are not looking at accurate data in a visual manner you’re probably missing a trend or an extra expense about your business. Here’s an example: One of our customers had a financial system made out of PDFs. They had about six restaurants they were tracking. They would collect the finances for each of the restaurants and make separate PDFs. The PDFs would be shipped to the CFO team and they would dissect the information. Usually, the information was more than a month late because it took a while to build the reports. We built a financial dashboard. This collects all the information from the PDFs and puts the information on one screen. You can instantly get simple, comprehensive views of critical financial information on your phone. The customer had the ability to select what they wanted to compare from each restaurant in pie charts. So for example, if they wanted to see how much money each restaurant was spending on entertainment, they could easily see it. As soon as the financial dashboard came online… the customer realized they were spending way too much money on music and entertainment in one of their venues. They were able to make the decision to stop hiring so many bands immediately. Before the data wasn’t accessible. It wasn’t visible. The entertainment data was a line item in six separate PDFs. It also wasn’t in the same place. We created a dashboard to show side by side views of expenses like music and entertainment. They could see as a percentage of the pie that it was huge. As soon as they were able to visually see the data they could tell where their money was going and what changes needed to be made.

Chapter Five:

3 Reasons You Should Quit Managing Data with Spreadsheets

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Check out the HingePoint Booth (#317) at Groundbreak 2018 in Austin, TX, November 13-15 2018.

Groundbreak is THE construction conference of the year, with over 3,000 attendees representing top ENR companies, over 70 sessions on topics such as hiring during a labor shortage, AR/VR, increasing job site productivity, leveraging technology to maximize ROI, and getting the most out of mobile, plus, work alongside developers at the industry's only Innovation Lab. HingePoint is thrilled to attend this event as a vendor. After all, we consult, develop, and integrate software for the construction industry. When and Where is the Groundbreak Conference? Groundbreak is November 13-15, 2018 at the Austin Convention Center in Austin, TX. How to Register? You can visit Procore.com/groundbreak for details on the event or click HERE to register and purchase your tickets. The Cost of Groundbreak Conference? You have until April 30, 2018, to purchase tickets at the early bird price, which is currently $995 (a $300 savings off the full price of $1,295). Afterward, ticket prices will increase to $1,095. Tickets purchased after 8/31/18 will be $1,295, so be sure to purchase your ticket(s) now! --

About HingePoint

HingePoint offers cloud and mobile applications for construction and real estate that are easy to adopt and employees love. Specializing in the systems that run the construction and real estate business including SharePointSalesforceProcoreMS Dynamics, and Autodesk. Scale and grow profitably with Financial and Project Management Dashboards, document management, and workflow automation for field to office collaboration. HingePoint 8105 Rasor Blvd. Suite 241 Plano, TX 75024 (214) 301-0000 www.hingepoint.com [post_title] => HingePoint Announces Groundbreak 2018 Conference Exhibitor [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => groundbreak-2018-conference-exhibitor-announcement [to_ping] => [pinged] => [post_modified] => 2018-11-11 15:32:41 [post_modified_gmt] => 2018-11-11 21:32:41 [post_content_filtered] => [post_parent] => 0 [guid] => https://www.hingepoint.com/?p=14352 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [comment_count] => 0 [current_comment] => -1 [found_posts] => 8 [max_num_pages] => 1 [max_num_comment_pages] => 0 [is_single] => [is_preview] => [is_page] => [is_archive] => 1 [is_date] => [is_year] => [is_month] => [is_day] => [is_time] => [is_author] => [is_category] => [is_tag] => 1 [is_tax] => [is_search] => [is_feed] => [is_comment_feed] => [is_trackback] => [is_home] => [is_404] => [is_embed] => [is_paged] => [is_admin] => [is_attachment] => [is_singular] => [is_robots] => [is_posts_page] => [is_post_type_archive] => [query_vars_hash:WP_Query:private] => c65780fbe2f77afb153fb6669df70d7f [query_vars_changed:WP_Query:private] => [thumbnails_cached] => [stopwords:WP_Query:private] => [compat_fields:WP_Query:private] => Array ( [0] => query_vars_hash [1] => query_vars_changed ) [compat_methods:WP_Query:private] => Array ( [0] => init_query_flags [1] => parse_tax_query ) )