Archives for 18 Nov,2021

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Optimizing Brewery Businesses

Brewing has become one of the most competitive industries in the world. Efficient information management, including utilizing key performance indicators (KPIs), can be the difference between record profits and struggling to make payroll. Curating a single source of data truth can be challenging due to disparate data sources including POS, ERP, Warehouse Management, Accounting, and Quality Assurance. Most software packages become data silos, which are not easily combined with other sources, making complete analysis difficult and time-consuming. The best run breweries leverage all their data in one place to make informed decisions.

The Full Picture

Data-driven decisions are most successful when they utilize an interconnected picture from all parts of the business. With all data stored in a single data source, analysis is more efficient and effective. Sales results by brand often falls under multiple systems, with POS and ERP systems accounting for most of the data. Combining these sources not only provides information on the entire sales picture, but also the ability to drill down to understand how sales are segmented by brand and channel.

Simple Data Access and Security

Real-time, role-appropriate access to data for all stakeholders provides a secure way to manage and edit data as needed. A typical brewery may have 5 to 10 different data sources all requiring unique access and security. With a single source, all the data is present, but curated through roles on a user-by-user basis to ensure that individuals have the data they need, while withholding sensitive or superfluous data to their job function.

Improved Data Quality

Data-driven decisions are only as accurate as the data they are derived from. Poor data governance, erroneous data, and versioning issues are flaws that undermine the validity of data. Automation of processes to consolidate data results in a reliable process that eliminates most of the common areas for data integrity loss.

Need Help Putting Your Data to Work?

Informer helps brewers tap into their data to address every part of their business including the taproom, brewery operations, accounting, and sales. Informer becomes the single source of truth that connects all your data and provides prebuilt dashboards and KPI tracking so users can begin making informed decisions.

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What is Embedded Analytics

An embedded analytics platform is software seamlessly integrated into your application providing both developers and end users real-time ad hoc reporting, visualization, data preparation, pixel-perfect templating, dashboarding, and other analytics functionality.

Time-to-market, Resources, Complete Solution

Getting to market quickly is a critical factor in the overall success of an application. Development teams spend time and resources identifying the appropriate collection of technologies to achieve their goals: which data storage strategy, logic tier, front-end framework, etc. Building your own analytics suite is possible, but not practical, and would delay product launch.

Choosing an embedded analytics platform allows development to focus on core vertical functionality. And, over time as your embedded platform continues to add functionality, so too do the analytical capabilities of your offering.

On the sales and revenue side, software buyers overwhelmingly prefer complete solution products. Embedded analytics provide seamless, integrated, simple to use analytics and business intelligence capabilities that increase product value, leading to faster sales at a higher price.

Engagement, User Experience

An ever-present, widespread, and consistent use of embedded analytics within your application tier engages users through compelling visual displays, dashboards, and interactives – all seamless and in context. Visualizations are the key for bringing data to life.

Tools for exploring data and navigating data stories yield powerful, engaging user experiences. An embedded analytics platform pins this engagement throughout your application workflows – the analytics process isn’t to export data elsewhere; instead, data discovery occurs within the application itself.

Actionable Insight, Depth

In-context analytics are invaluable for actionable insight, and an integrated platform is ideal for delivering this value. Users rely not only on the application workflows, but also on the close coupling of data in place and the associated analytics.

It is this depth of insight that offers the analytics-focused user experience. Reports are no longer simple grids of rows and columns or rigid PDF documents, but instead are interactive, context relevant visuals and interactive, drillable charts and dashboards. Embedded everywhere, seamlessly.

There Is a Better Way to Work

Informer Embedded allows your development staff to integrate a mature, modern analytics platform into your application. In turn, your users enjoy a seamless, engaging analytics environment. We built Informer Embedded to offer that full cycle experience for development and end users. Development teams focus on their core value, and end users gain data intelligence.

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Using Informer for Aged Receivables

Robin Lamb, Director of Informer Client Services, discusses helpful tips on using Informer to achieve aged receivable reports.

Cash inflows are the fuel that keeps businesses running. Revenue generation would be much easier if all customers paid on their agreed period. Customers miss payments for a variety of reasons, but proper identification and processing can speed the collection of receivables and improve cash flow forecasting. An Aged Receivables report details all receivables due from customers with the duration that they have been outstanding. Would an Aged Receivables report assist your organization with collecting overdue funds?

Here’s the process we used in assisting one of our clients who use Vertafore’s Sagitta agency management software to create a dynamic Aged Receivables report in Informer. To build this report, we can use Flow Steps to quickly create buckets for the overdue receivables. Add the database fields that you need to the Dataset, and then create the Flow Steps by following the steps below.

Flow Steps:

1) Create a calculated column to sum a multi-value field using Lodash.

2) Create a calculated column called Today to bring back today’s date.

3) Create a Time Between Flow Step.

4) Generate a Power Script to create Current Balance, 30-60 Day Balance, 60-90 Day Balance, Over 90 Day Balance.

See Example of Dataset below:

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