In today’s world it can be quite challenging to run events successfully if you’re not good at technology. Event Technology companies are increasingly becoming tech savvy and working on using technology to evaluate event data. Also, technology makes it possible to acquire information as the event unfolds, through the real-time collection of actionable data. The data gathered from events is incredibly valuable, the more you make of it the more value addition it does to the business. But what happens when the event data is integrated with other business systems within the organization?
Although, it sounds technical, the concept of data integration is actually quite simple and is one of the most important IT concepts for any business. Companies use different databases to gather different types of information – whether it’s sales, marketing, events, finance, memberships and so on. An event management platform with multiple disparate systems supporting and surrounding it leads to delayed decision making and higher costs.
Event Technology Data Management
Businesses can use their data more effectively by linking their systems through Application Programming Interfaces (APIs), which allow different software applications to collect and share information with each other. We helped a client design and deploy a unified BI and Data Warehousing strategy, architecture and custom-built application. The problem was fixed in least total cost of ownership approach.
The client’s core event technology platform used different systems to capture large amounts of data, information and analysis across the business using multiple different methodologies. For example, a financial analytical system on Oracle, sales analytics using Microsoft platform, operational applications with in-house database and using several different flat file-based systems. This lead to unavailability of clean, reliable and consolidated information for different business groups, data latency and limited analysis eventually causing delays in decision making and higher costs.
Consolidation of information across these applications either manually or through some archaic methodology was required. The client saw a scope for improvement in the process and extracting ROI by using a BI technology driven solution.
A structured framework was developed which comprised of:
A BI strategy encompassing Discovery, Infrastructure & Data Architecture & high-level Implementation Plan was developed. Tool evaluation was based on end user’s ease of use, agility, intuition, scalability and security. The selected tool was a combination of enterprise & open source BI technology stack.
The implementation included Data Warehouse Modelling and Design, ETL (Data Transformation) development and automation & industry specific Reporting & Analytics. The project resulted in a BI layer with four core areas Financial, Sales, Labour Cost and Revenue which integrated their disparate core event system. End users could now traverse through data & information from multiple systems on this BI layer with few clicks.
Benefits to the Client
Analysts gained access to clean and reliable data set for solutions and decision making. This lead to prompt and timely decisions by a single unified point of truth of numbers across the business for all users. Tableau was used to develop and deploy a set of business dashboards and analytical reports. Ad-hoc reporting capabilities of the BI system enabled end users to create custom reports by themselves. This further lead to reduced time and cost of report development.
The bottom line is that data integration makes complete business sense. If you’re already doing it, then you’re ahead of the curve. If you’re not, we are here to help you.
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