There is no doubt that the amount of digital data generated, not only at an individual level but at an organizational level, from day-to-day is immense and can become so complex and vast that most traditional data processing applications would soon become insufficient to manage, not only the storage of data, but to offer useful insights that drive meaningful results in the business.
Data analytics technologies and techniques provide a means of analyzing data sets and drawing conclusions about them to make informed business decisions. Big data analytics applications enable data scientists, predictive modelers, statisticians and other analytics professionals to analyze growing volumes of structured transaction data, plus other forms of data that are often left untapped by conventional business intelligence (BI) and analytics programs. This encompasses a mix of semi-structured and unstructured data — for example, internet clickstream data, web server logs, social media content, information from customer emails and survey responses, mobile phone records and machine data captured by sensors connected to the Internet of Things.
source: NewVantage Partners, May 2018
The Benefits of Big Data and SYSPRO
SYSPRO provides big data technologies that manage, analyze and process your big data, and provides access to relevant and critical information from anywhere at any time and on any device.
By using big data analytics with SYSPRO can point the way to the following business benefits throughout your supply chain:
- Reducing processing flaws through better detection of defects in the manufacturing/production processes
- Improved production quality
- Improved operational efficiency
- Improved customer service
Some content here
AI adds intelligence to your existing ERP solution
It finds structure and regularities in data so that over time the algorithm becomes a classifier or a predicator. The algorithm is able to teach itself what relevant information or insights to surface that will enable quicker decision making across the supply chain.
AI finds structure and regularities in data so that over time the algorithm becomes a classifier or a predicator. The algorithm is able to teach itself what relevant information or insights to surface that will enable quicker decision making across the supply chain.
with algorithms that are self-learning, over time, your data forms part of your industry intellectual property, providing you with insights that will give you a competitive advantage.
Key Uses of SYSPRO and Big Data
With AI and ML
SYSPRO uses Artificial Intelligence and Machine Learning to instantly surface ‘big picture’ insights across the business including anomalies, trends, patterns and developments. This assists business to answer questions they may not even be asking yet.
SYSRO Connected Services
SYSPRO’s Connected Services integrate data across the business, enabling data to be stored in one place for consolidated reporting and analysis, and works in conjunction with SYSPRO’s AI engine to aggregate and contextualize data within your organization, ensuring the right information reaches the right person at the right time.
To manage the Big Data collected from IoT devices, SYSPRO has leveraged Azure’s IoT Hub to deliver a management service of all of your IoT devices and data, providing the ability to store, aggregate and analyze IoT data, receive messages and manage devices, all from the cloud.
SYSPRO is a world leader in ERP
Enabling positive disruption in companies, which leads to real-world innovation adding value to our customer’s businesses.