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Real-time business intelligence.

Businesses today are collecting huge amounts of data, yet without the right analytical tools, the data provides no business value. Legacy business intelligence (BI) products were created to pull applicable intelligence out of large amounts of data, but those BI systems have not kept up with the modern data center. Data arrives at a speed that is far too fast for old systems to digest, while today’s mobile workforce expects real-time access and a seamless cross-channel experience.

Four-Step Business Intelligence Process

With a well-aligned business and technology strategy built on seamlessly integrated data and information systems, enterprise business intelligence can be fully harnessed. Venture Technologies provides services that are focused on helping businesses improve performance and mitigate risk.

Strategy Design Build Deploy
BI Readiness Assessment Data Discovery and Profiling Software Installation and Configuration BI Program Management
BI Strategy and KPI Definition Data Modeling and Database Design Data Integration, Extraction and Transformation User Adoption and Maturity Transformation
BI Roadmap and Prioritization Technical Architecture and Infrastructure Planning Semantic Layer Development Customized Training
BI Maturity Assessment Software Package Selection and Fit Analysis Reports, Dashboards, Scorecards, Visualization DWBI Maintenance and Support
User Adoption Assessment and Strategy Data Warehouse Development Metadata Management and Governance
BI Evangelization Data Quality and Cleansing Business User Workshops

The Internet of Things and the Industrial Internet of Things

Solve real problems, in real time.

The Internet of Things (IoT) revolves around the use of sensor data and analytics to make smart decisions. The data is typically pulled from many sensors and analyzed immediately to provide guidance to an individual. This large amount of data is then crunched to look for trends and improvements. Communication between sensors and devices is evolving and by 2020, it’s projected there will be 75 billion connected devices.

IoT solutions are a combination of:

  • Sensors / Communication Devices (Data Collection),
  • Cloud Storage (Cloud Applications)
  • ERP Integration
  • Business Intelligence
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In the age of the Industrial Internet how do you ensure that your business can keep its competitive edge?

The Industrial Internet of Things (IIoT) is creating an opportunity for massive disruption across the manufacturing and supply chain industry by bringing assets online and making them intelligent. Envision an ecosystem where sensors, data management and analytics work in collaboration to reduce operational inefficiencies and optimize assets.

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Get the most out of your assets.

An intelligent IIoT platform should be adept at solving problems and instantly learn about each asset, component and operating condition. Analyzing these connections leads to an enduring knowledge layer of frequencies and interactions between things. Manufacturers integrating cognitive analytic solutions into their business will not only learn what assets are succeeding and failing, but also gain insights into how, when, where and why they’re able to integrate this knowledge back into the supply chain automatically in real time.

The Industrial Internet

The Industrial Internet provides a low-cost, high value way to integrate information based on widely distributed sensors, smart machines, big data and real time analytics. It combines Enterprise Resource Planning (ERP), Machine-to-Machine (M2M) communications, manufacturingbig data and the Internet of things. The most promising opportunities for the Industrial Internet to manifest are in aviation, oil and gas, transportation, power generation and distribution, manufacturing, healthcare and mining.

 Getting Started

  • Security practices and technologies are behind in maturity, compared to most IoT use cases and technologies.
  • The high volume of data
  • Which types of data you’ll need to support
  • The various sources you’ll need to access the data from (sensors, machines, devices, clouds, etc.)
  • Who owns the data? Who can monetize the data? Whose standards will be used?
  • Work on aligning IT with OT resources, processes and people.
  • Focus on talent acquisition and development.
  • Educate yourself on industry standards to make better investments in hardware, software and middleware.
  • How will you bridge the gap between the 10 billion connected devices in the world and your business (by 2020 that number is projected to be 75 billion).
  • Check out some of the IoT projects JD Edwards Labs uploaded to their YouTube channel here.
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Best practices in automation

Automation results in smarter business decisions, cost savings and increased revenue. Just as this automation has helped enterprises improve their results, the step of simplifying how information is collected and acted upon will enable organizations to further extend this value to their company assets, manufacturing operations, projects and services, and supply chain.

We apply best practices for driving real-time reporting, automating data integration set up and configuration from multiple sources, and accelerating the data replication/loading process across platforms.

Learn about the industries we serve.