W-Systems COVID-19 Business Continuity Read More
Amazon QuickSight is a very fast, easy-to-use, cloud-powered business analytics service that makes it easy for all employees within an organization to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data, anytime, on any device. Upload CSV and Excel files; connect to SaaS applications like Salesforce; access on-premises databases like SQL Server, MySQL, and PostgreSQL; and seamlessly discover your AWS data sources such as Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon Athena, and Amazon S3. QuickSight enables organizations to scale their business analytics capabilities to hundreds of thousands of users and delivers fast and responsive query performance by using a robust in-memory engine (SPICE).
Traditional BI solutions often require teams of data engineers to spend months building complex data models before generating a report. They typically lack interactive ad-hoc data exploration and visualization, limiting users to canned reports and pre-selected queries. Traditional BI solutions also require significant up-front investment in complex and costly hardware and software, and then customers to invest in even more infrastructure to maintain fast query performance as database sizes grow. This cost and complexity makes it difficult for companies to enable analytics solutions across their organizations. Amazon QuickSight has been designed to solve these problems by bringing the scale and flexibility of the AWS Cloud to business analytics. Unlike traditional BI or data discovery solutions, getting started with Amazon QuickSight is simple and fast. When you log in, Amazon QuickSight seamlessly discovers your data sources in AWS services such as Amazon Redshift, Amazon RDS, Amazon Athena, and Amazon Simple Storage Service (Amazon S3). You can connect to any of the data sources discovered by Amazon QuickSight and get insights from this data in minutes. You can choose for Amazon QuickSight to keep the data in SPICE up-to-date as the data in the underlying sources change. SPICE supports rich data discovery and business analytics capabilities to help customers derive valuable insights from their data without worrying about provisioning or managing infrastructure. Organizations pay a low monthly fee for each Amazon QuickSight user, eliminating the cost of long-term licenses. With Amazon QuickSight, organizations can deliver rich business analytics functionality to all employees without incurring a huge cost upfront.
Amazon QuickSight is built with "SPICE" – a Super-fast, Parallel, In-memory Calculation Engine. Built from the ground up for the cloud, SPICE uses a combination of columnar storage, in-memory technologies enabled through the latest hardware innovations and machine code generation to run interactive queries on large datasets and get rapid responses. SPICE supports rich calculations to help you derive valuable insights from your analysis without worrying about provisioning or managing infrastructure. Data in SPICE is persisted until it is explicitly deleted by the user. SPICE also automatically replicates data for high availability and enables QuickSight to scale to hundreds of thousands of users who can all simultaneously perform fast interactive analysis across a wide variety of AWS data sources.
A QuickSight Author is a user who can connect to data sources (within AWS or outside), create visuals and analyze data. Authors can create interactive dashboards using advanced QuickSight capabilities such as parameters and calculated fields, and publish dashboards with other users in the account.
A QuickSight Reader is a user who consumes interactive dashboards. Readers can log in via their organization’s preferred authentication mechanism (QuickSight username/password, SAML portal or AD auth), view shared dashboards, filter data, drill down to details or export data as a CSV file, using a web browser or mobile app. Readers do not have any allocated SPICE capacity. Individual end-users can be provisioned to access QuickSight as Readers. Reader pricing applies to manual session interactions only. We reserve the right charge for the reader at the higher monthly author rate if, in our discretion, we determine that you are using reader sessions for other types of use (e.g., programmatic or automated queries).
Yes, readers can be easily upgraded to authors via the QuickSight user management options.
No, Readers with pay-per-session pricing only exist in Enterprise Edition. If you have a Standard Edition account, you can upgrade to Enterprise Edition via the QuickSight management page.
Amazon QuickSight’s reader pricing applies to interactive consumption of data by individual users. A fair use policy applies, and any abuse of the system will result in the reader being metered as an author. To avoid such situations, we recommend that programmatic refresh of dashboards, if needed, be performed from an Author account.
A QuickSight Admin is a user who can manage QuickSight users and account-level preferences, as well as purchase SPICE capacity and annual subscriptions for the account. Admins also have all QuickSight authoring capabilities. Admins can also upgrade Standard Edition accounts to Enterprise Edition if needed.
Amazon QuickSight Authors and Readers can be upgraded to Admins at any time.
Amazon QuickSight Reader sessions are of 30-minute duration each. Each session is charged at $0.30 with maximum charges of $5 per Reader in a month.
A Reader session starts with a user-initiated action (e.g., login, dashboard load, page refresh, drill-down or filtering) and runs for next 30-minutes. Keeping Amazon QuickSight open in a background browser window/tab does not result in active sessions until the Reader initiates action on page.
No, Reader sessions are transparent to the QuickSight Reader. Reader sessions will be automatically renewed in 30-minute intervals, and time out 30 minutes after start upon inactivity. Readers will only be logged out of QuickSight when their authentication expires, which is dependent on the authentication scheme in place (can be one of QuickSight-only users, SAML/Open ID Connect or Active Directory).
No, having Amazon QuickSight open in a background tab will not result in usage charges. A session is only initiated when there is explicit Reader activity on the QuickSight web application. If the QuickSight page is moved to the background or minimized, there will be no additional sessions charged (beyond any sessions initiated when the Reader was active on the window/tab) until the Reader interacts with QuickSight again.
A reader will be charged $0.30 a session up to a maximum of $5/month, after which the reader can access QuickSight at no charge for additional sessions.
No, QuickSight Authors and Readers are user types that cannot change account permissions or invite more users. QuickSight offers an Admin user, who can manage QuickSight users and account-level preferences, as well as purchase SPICE capacity and annual subscriptions for the account. Admins also have all QuickSight authoring capabilities. Admins can also upgrade Standard Edition accounts to Enterprise Edition if needed.
Amazon QuickSight’s reader pricing applies to interactive consumption of data by end-users in an organization. For programmatic access and scripted refresh, we recommend the use of an Author account to comply with fair use policies associated with the QuickSight Reader.
The iPhone app for Amazon QuickSight lets you access your data anywhere, and explore analyses, stories, and dashboards. Look for Android and tablet support, as well as viewing and creating annotations in offline mode in the future. You can also use any of the modern browsers running on laptops or desktops or access Amazon QuickSight or using a web browser on any mobile device.
Amazon QuickSight supports the latest versions of Mozilla Firefox, Chrome, Safari, Internet Explorer version 10 and above and Edge.
You can connect to AWS data sources including Amazon RDS, Amazon Aurora, Amazon Redshift, Amazon Athena and Amazon S3. You can also upload Excel spreadsheets or flat files (CSV, TSV, CLF, and ELF), connect to on-premises databases like SQL Server, MySQL and PostgreSQL and import data from SaaS applications like Salesforce.
Yes. In order to connect Amazon QuickSight to an Amazon EC2 or on-premises database, you need to add the Amazon QuickSight IP range to the authorized list (whitelist) in your hosted database.
You can upload XLSX, CSV, TSV, CLF, XLF data files directly from Amazon QuickSight website. You can also upload them to an Amazon S3 bucket and point Amazon QuickSight to the Amazon S3 object.
Amazon QuickSight seamlessly discovers your AWS data sources that are available in your account with your approval. You can immediately start browsing the data and building visualizations. You can also explicitly connect to other AWS data sources that are not in your account or in a different region by providing connection details for those sources.
Amazon QuickSight lets you prepare data that is not ready for visualization. Select the “Edit/Preview Data” button in the connection dialog. Amazon QuickSight supports various functions to format and transform your data. You can alias data fields and change data types. You can subset your data using built-in filters and perform database join operations using drag and drop. You can also create calculated fields using mathematical operations and built-in functions such as conditional statements, string, numerical and date functions.
With Amazon QuickSight you don’t need to worry about scale. You can seamlessly grow your data from a few hundred megabytes to many terabytes of data without managing any infrastructure.
When you create a new Amazon QuickSight account, you have administrative privileges by default. If you are invited to become an Amazon QuickSight user, whoever invites you assigns you either an ADMIN or a USER role. If you have an ADMIN role, you can create and delete user accounts, purchase annual subscriptions and SPICE capacity in addition to using the service. To create a user account, you send an email invitation to the user via an in-application interface, and then the user completes the account creation by specifying a password and signing in.
Creating an analysis is simple. Amazon QuickSight seamlessly discovers data in popular AWS data repositories within your AWS account. Simply point Amazon QuickSight to one of the discovered data sources. To connect to another AWS data source that is not in your AWS account or in a different region, you can provide the connection details of the source. Then, select a table and start analyzing your data. You can also upload spreadsheets and CSV files and use Amazon QuickSight to analyze your files. To create a visualization, start by selecting the data fields you want to analyze, or drag the fields directly on to the visual canvas, or a combination of both actions. Amazon QuickSight will automatically select the appropriate visualization to display based on the data you’ve selected.
Amazon QuickSight has an innovative technology called AutoGraph that allows it to select the most appropriate visualizations based on the properties of the data, such as cardinality and data type. The visualization types are chosen to best reveal the data and relationships in an effective way.
Dashboards are a collection of visualizations, tables, and other visual displays arranged and visible together. With Amazon QuickSight, you can compose a dashboard within an analysis by arranging the layouts and size of visualizations and then publish the dashboard to an audience within your organization.
Amazon QuickSight supports assorted visualizations that facilitate different analytical approaches:
Amazon QuickSight comes with a built-in suggestion engine that provides you with suggested visualizations based on the properties of the underlying datasets. Suggestions serve as possible first or next-steps of an analysis and removes the time-consuming task of interrogating and understanding the schema of your data. As you work with more specific data, the suggestions will update to reflect the next steps appropriate to your current analysis.
Stories are guided tours through specific views of an analysis. They are used to convey key points, a thought process, or the evolution of an analysis for collaboration. You can construct them in Amazon QuickSight by capturing and annotating specific states of the analysis. When readers of the story click on an image in the story, they are then taken into the analysis at that point, where they can explore on their own.
You can perform typical arithmetic and comparison functions; conditional functions such as if,then; and date, numeric, and string calculations.
For your convenience, sample analyses are automatically generated when you create an account in Amazon QuickSight. The raw data can also be downloaded from the links below:
These datasets were created by 47Lining, an AWS Advanced Consulting Partner with Big Data Competency designation.
You have several options to get your data into Amazon QuickSight: file upload, connect to AWS data sources, connect to external data stores over JDBC/ODBC, or through other API-based data store connectors.
Yes. For better performance and user interactivity, customers are advised to use the region where your data is stored. The Amazon QuickSight auto-discovery feature detects data sources only within the AWS region of the Amazon QuickSight endpoint to which you are connected. For a list of the supported Amazon QuickSight AWS regions, please visit the Regional Products and Services page for all AWS global infrastructure.
Yes. You can enable multi-factor authentication (MFA) for your AWS account via the AWS Management console.
If your VPC has been set up with public connectivity, you can add Amazon QuickSight’s IP address range to your database instances’ security group rules to enable traffic flow into your VPC and database instances.
Row-level security (RLS) enables QuickSight dataset owners to control access to data at row granularity based on permissions associated with the user interacting with the data. With RLS, Amazon QuickSight users only need to manage a single set of data and apply appropriate row-level dataset rules to it. All associated dashboards and analyses will enforce these rules, simplifying dataset management and removing the need to maintain multiple datasets for users with different data access privileges.
If you have data in AWS (perhaps in Amazon Redshift, Amazon Relational Database Service (RDS), or on EC2) or on-premises in Teradata or SQL Server on servers without public connectivity, this feature is for you. Private VPC (Virtual Private Cloud) Access for QuickSight uses an Elastic Network Interface (ENI) for secure, private communication with data sources in a VPC. It also allows you to use AWS Direct Connect to create a secure, private link with your on-premises resources.
You can share an analysis, dashboard, or story using the share icon from the QuickSight service interface. You will be able to select the recipients (email address, username or group name), permission levels, and other options before sharing the content with others.
Yes, Standard Edition account accounts can be upgraded to Enterprise Edition through the QuickSight management page. Existing authentication details and user data will be seamlessly migrated to Enterprise Edition. Enterprise Edition rates for user and SPICE capacity will apply.
No, you will not be able to downgrade from Amazon QuickSight Enterprise Edition to Standard Edition. Amazon QuickSight Enterprise Edition offers enhanced functionality such as QuickSight Readers, connectivity to data sources in Private VPC, row-level security, hourly refresh of SPICE data as well as AD connectivity and group-based management of assets for AD accounts. Due to the differences in feature set, a downgrade might result in loss of data connectivity and security, and as a result, this option is not supported.
Amazon QuickSight starting from $0.30 per session
The entire team at W-Systems works hard to make sure you are satisfied with their service - be it resolving technical issues or implementing new technologies! BIG thumbs up!
CRMs are personal and complicated. With every project and every issue we have had, I feel that we were treated fairly and professionally. On the occasional misunderstanding or miscommunication, there was no gotcha but a desire to solve the issue fairly. The expertise level is high. Very good and respectful service.
Our company has used W-Systems for about a year now for customization of our SugarCRM Cloud environment. It's been a pleasure working with a group of developers that get the job done right the first time. From the Director of Sales to the Ops Manager to the programmers... all our first class.
W-Systems has great people to work with. They really took the time to understand our business and help us move into CRM best practices. They are reliable and helpful. SugarCRM was also a great decision for our team. The product functions as we had hoped and is easy to self-manage for day to day items.
Mark was instrumental in our upgrade to the latest version of GoldMine. Not only did Mark do the data conversion but he has subsequently resolved several issues that have surfaced with the GoldMine alarms & the daily backup process. Mark has been very accommodating to any contact I have made to either ask questions or resolve an issue. Previously we have worked with Bob thru the years to support our GM application and again very pleased with the support offered by Bob. I would highly recommend W-Systems Corp. for support.
We brought on W-Systems to take on a very complicated CRM upgrade. We chose W-Systems due to their knowledge around our system, and they had the resources to execute. Their PMs, dev team, customer service, and sales teams were all top-notch and responsive to our needs and feature requests. I'd recommend W-Systems to any company looking for a SugarCRM partner.
Responsive, helpful, thoughtful. They have been exactly opposite (in as positive of a way as possible) of the typical software sales approach. W-Sytems created my happiness with CRM.
W-Systems is an experienced and diligent SugarCRM integrator and developer. They have worked on numerous integrations and implementation projects with us and have been a great partner.
I highly recommend W-Systems. We have a complex solution that integrates numerous different software application and databases. This requires several different team members at W-Systems for support. Their knowledge and ability to work together provide the timely support I need. I’m not surprised there are challenges and issues with the complex technology support I ask from them, what is surprising is they always keep it working. Thank you!