Insight Software developed Spreadsheet Server, an electronic financial reporting system that uses soft Excel. Users can extract data from various ERP systems and load the information into Excel.

This enables real-time financial reporting and analysis with data from GL and other sources and improves data accuracy.

Who Uses Spreadsheet Server?

The spreadsheet server is designed specifically for the financial and accounting departments. It is intended to assist them in preparing their financial reports. For those who work in Excel, it is perfect for teams that use it for their financial reporting.

They can then utilize Spreadsheet Server to have their fingers on the real-time ERP data within Excel.

What is Spreadsheet Server Customer Distribution Based on Company Size?

The geographical distribution of customers and their size Freeware Spreadsheet Server: small companies (<75 employees) – 12%, medium-sized enterprises (75-1000 employees) – 46%, large companies (>1000 employees) – 41%.

It has also been established that it is widely used by mid to large organizations, especially where there is heavy operational demand for activities such as real-time financial reporting. Some of these include real estate and construction, while most of the users are from the United States.

Spreadsheet Server Features

The Spreadsheet Server offers several key features:

  1. Real-Time Data Integration: It allows users to easily integrate live data feeds from ERP systems such as Viewpoint into Excel. Then, they always have the highest-quality data for reporting and analysis available to them.
  2. Customizable Reporting: Is it better to have highly individualized information on financial statements, graphs, and KPIs? This flexibility allows for dynamic reporting that can easily change depending on business needs.
  3. Financial Processes Automation: The spreadsheet Server automates reconciliation, variance analysis, and reporting. This saves users time and minimizes the chance of making mistakes when entering the data manually.
  4. Drill-Down Functionality: It eliminates the need to download details or generate reports manually and enables the user to filter down to sub-ledger details in one click. They get journals, receivables, and payables right out of Excel, which they have easy access to.
  5. Ease of Use: Spreadsheet Server is based on Microsoft Excel, which is intended for ease of use. It is also easy for finance professionals to adopt and use, and this does not require a lot of training or IT support.
  6. Data Analysis: It has the ability to perform most of the data manipulation tasks directly on the Excel sheet. Various performed complex calculations, created interactive dashboards, and performed various financial analyses.
  7. Security and Control: The software also has tremendous security measures to guard the information it stores, particularly financial details, and meet regulatory standards. To ensure the data’s integrity, you can utilize audit trails and maintain version control.
  8. Scalability: DesIGNED for small as well as large businesses, special Sheet Server scales in line with data and reporting needs while retaining performance.

All these features bring about operational improvement in the area of financial management.

Key Features

Limited Use License

A limited-use license offers the following capability: A limited use license offers the following capabilities:

  • Drill Down

Enables users to be notified when another user has created a report in Spreadsheet. In addition to using the server and drilling down from any cell, look at transaction hourly, real-time, and granular-level details on the business from their ERP solution. Users can also

modify any of the parameters when executing the search and focus on a certain query within the information of the query.

Gold License

It is possible to state that a gold user license presupposes all the capabilities listed in the limited

use-license above, plus the:

  • Build a Template

Enables the formulation of queries to generate from reading made with the help of a set of predefined queries.

Their custom reports.

  • Distribution Manager

This tool helps automate the process of sending out reports at appropriate times. Directly from within Excel, thus saving time that may have been spent in the other software. In my working context, I frequently perform essential printing, copying, or creating email attachments, mainly for the purpose of sharing [information] with your end users.

  • QueryExchangeTM

An online compilation of queries from which the user may transfer individual queries to the QueryDesigner, which selects them and then utilizes them in Excel. One feature that is incorporated within SmartPakTM and used in written QueryExchangeTM is a method to cluster configured queries together.

Platinum License

A platinum user license contains all the features from the platinum editor license as well as the following;

limited use and gold licenses above: limited use and gold licenses above, plus:

  • QueryDesigner

An interactive design tool that facilitates the involvement of the users in the development of various designs.

Keep queries with any sort of related database. Media Remarks comprehend keeping queries over any relational database. These

queries can be performed together with so-called decision-support templates that have been set beforehand in A single Excel spreadsheet.

What other Apps Does Spreadsheet Server Integrate With?

Spreadsheet Server integrates with the following applications:

Acumatica Cloud ERP, BannerFlow, cmIC, DLELMAworks, Data Masons EDI and FCRM Insurance, Global Shop Solutions, Infor Cloud ERP, JD Edwards EnterpriseOne, Kinetic, MRI Software, MYOB Advanced Business, Microsoft Dynamics SL, Microsoft Excel, :]

NetSuite, QAD Digital Supply Chain Planning, Quantum, SAP Business One, SYSPRO, Sage 500, Traverse, View

What languages Does the Spreadsheet Server Support?

Spreadsheet Server supports the following languages:

English, français, Deutsch, italiano, português, Español, svenska, 正體中文.

Pros and Cons of Spreadsheet Server

Pros

Real-time Data Access

Basically, the sales spreadsheet server works with ERP systems, and users can import live data to Excel. This saves time entering the entries manually and also provides the latest information for report generation.

Excel Integration

The use of a familiar environment to create the platform makes the platform convenient to users who are already conversant with Excel but need a more efficient way of producing reports.

Automated Reporting

It provides a means for automating financial reporting, as it allows to generate a flexible report that can be recalculated with a single click. This integrates workflow and reduces some manual reporting work.

Drill-Down Capabilities

Users can provide high-level and detailed analysis up to more specific information at the journal transaction level, which can provide them with better insight into their data.

Customizable Reports and Dashboards

It gives an option of designing the reports and the dashboards in a way that will best suit the needs of that particular business and is versatile for various business types and types of reports.

Enhanced Security

This means that only the user who is supposed to access certain data within the organization can access that data, not the other way around, thus enhancing data security within the organization.

Cons

Complex Setup and Configuration

While Spreadsheet Server is highly intuitive for preparing reports, integrating it with an ERP system may be difficult at first because many configurations must be made, and this requires a certain level of computer programming knowledge.

Scalability Limitations

However, Spreadsheet Servers are not very efficient in terms of data analytics or when the amounts of data are beyond Excel’s capacity to handle.

ERP Dependency

It greatly depends on being connected with supported ERP systems, so the opportunities to use it can be rather restricted for companies using non-supported or custom-built ERP systems.

Excel Limitations

Excel is familiar but not suitable for complicated tasks in data analysis or in creating more complex graphics compared to BI tools such as Tableau or Power BI.

Performance Issues with Large Data Sets

Maneuvering a large amount of data also takes a lot of time and might even cause Excel to freeze or crash, slowing the reports generated by Spreadsheet Server.

Limitations of Spreadsheet Server

The following is a list of Spreadsheet Server’s limitations:

  1. ERP Dependency: It has to be integrated with the supported ERP systems, which in turn limits its compatibility with different businesses and the software solutions they use.
  2. Scalability Issues: Certain drawbacks occur while handling large datasets using Excel, such as the data taking more time to load or the system hanging.
  3. Limited Advanced Analytics: It was predominantly developed as a reporting tool using Excel and offers fewer features for data visualization and analysis than the really good BI systems do.
  4. Complex Setup: The setup, especially when addressing ERP systems, may be relatively tricky during the initial setup and may prove cumbersome to people who need an IT background.

Alternatives of Spreadsheet Server

Here are various alternatives for Spreadsheet Servers:

  1. Microsoft Power BI: offers real-time financial and other data processing solutions, along with historical analysis tools like Business Intelligence dashboards and additional types of visualization based on several linked sources of data.
  2. Tableau: Reporting system with a high capacity of bearer for big data volumes and such applications that are characterized by the presence of graphics.
  3. SAP Crystal Reports: ADF reporting features include real-time integration and deep integration with ERP systems, which define ADF’s leading reported capabilities.
  4. Oracle Hyperion: Specialized in finance, but it offers other features for dealing and planning in the management and reporting of financials.
  5. Qlik Sense: Qlik Sense provides data computing and data opportunity facilities, which are helpful in dealing with big data and business intelligence.