Real-Time Analytics

Welcome to our Real-Time Analytics Resources

Understanding Real-Time Analytics

Modern organizations throughout the world utilize Real-Time Analytics to make faster, and better business decisions. Every day, organizations transition to real-time systems to avoid being left behind in an ever changing data driven world.

We created this section to provide more information about real-time analytics and the impact of real-time information on business.

You may find more information in the form of:

  • Videos
    • Webinar: GoEasy’s Road to Real-Time Analytics
    • Video: Continuous Data Integration for the Modern Enterprise
    • Product Demo: Real-Time Business Intelligence – Oracle to Teradata and Greenplum
    • Product Demo: Real-Time Data Delivery from an Oracle Database
    • Webinar: The Case for Continuous Data Integration
  • Real-Time Analytics Related Blog Posts
    • All Aboard the Prescriptive Analytics Express
    • Real-Time Analytics Transform Industries
    • Different Approaches to Real-Time Analytics

 


 

To get started, we recommend the following video in which HVR CTO Mark Van de Wiel gives a history of analytics and then discusses how predictive analytics can allow for a more efficient business future. He shares a scenario in which a Data Lake, HVR and data can be used for predictive analytics.



 

Customer Stories

Case Study: Lufthansa

How HVR Helps Keep Airplanes in the Air

About: Lufthansa Systems, a division of Lufthansa Airlines, is one of the world’s leading providers of IT services in the airline industry. It serves roughly 300 national and international airlines comprising more than one-third of all airlines worldwide. Among its many offerings, Lufthansa Systems offers Lido/FPLE (flight planning services), which determine the most effective flight routes in terms of cost, fuel and time. By optimizing flight routes, Lido/FPLS generates millions of dollars in extra profits for its customers each year.

Challenges: The data necessary for up-to-the-minute flight planning must be replicated to the central data repository at Lufthansa Systems and optimized plans must be replicated back to the customer airlines.

Databases/Systems:

  • Ingres
  • Oracle

Use Case:

  • Bi-directional replication
  • Geographical Distribution

Case Study: United States Coast Guard

continuous real-time data integration

How the USCG used HVR to offload reporting and reduce latency

About: The United States Coast Guard (USCG) is one of the country’s five armed services. In times of peace, USCG operates as part of the Department of Homeland Security, serving as the nation’s front-line agency for enforcing laws at sea, protecting the coastline and ports, and saving lives. When the nation is at war or on direction of the President, USCG serves under the Navy Department. USCG uses HVR to replicate data in real-time from the production system it uses to maintain its fleet of aircraft to a second database for use in reporting.

Challenge:

  • While enabling real-time analytics, minimize impact of reports running against the production system
  • Needed a real-time replication technology to keep reporting and production systems in-sync

Databases:

  • Oracle
  • Ingres

Use Case: 

  • Database Replication
  • Real-time Analytics
  • High Availability

 

Whitepaper: Continuous Real-Time Integration for Real-Time Analytics

Continuous Data Integration for Real-Time Analytics

Understand Why ETL Data Integration Approaches are Insufficient and How Log-Based CDC Enables Continual Integration

Because companies once made business decisions based on reports of historical data, they could only address events after the fact. Today, business leaders are increasingly looking to improve responsiveness by using real-time analytics to understand and address business challenges in real-time. To achieve real-time analytics, businesses need to integrate data from a variety of sources in real-time.

In This Whitepaper You Will Learn

Why traditional extract, transform, and load (ETL) data integration approaches are insufficient to meet the demands of real-time analytics
How organizations can achieve business agility through real-time analytics by taking advantage of solutions that integrate data in a highly flexible manner
How to keep up with growing data volumes and shrinking processing windows
Why Log-Based Change Data Capture is an optimal solution for real-time data integration

 

Videos

Webinar: GoEasy’s Road to Real-Time Analytics

 

GoEasy, a Financial Services company based in Canada, provides consumer loans with a promise of fast decision making. They needed a faster way of integrating data between their SQL Server systems.

In this webinar, Anu Oladele, Director of Data Science & Business Insights—GoEasy and Joe DeBuzna, VP of Field Engineering—HVR, discuss how they worked together to architect a solution that enabled GoEasy to achieve real-time business insights and faster loan processing speeds. They discuss the business use case, their process, and share a technical overview of the solution developed as well as plans for scaling their solution.

Video: Continuous Data Integration for The Modern Enterprise

Watch this video featuring Director of Research at 451, Matt Aslett, HVR CEO Anthony Brooks-Williams, and HVR CTO Mark Van de Wiel discuss why a continuous, real-time data integration strategy is imperative for the modern enterprise.


Video: Real-Time Business Intelligence – Oracle to Teradata and Greenplum

This video shows data loading from an Oracle source into Greenplum AND Teradata simultaneously using HVR. HVR loads data in real-time at high speed into both environments without causing load on the Oracle source. HVR supports both Change Data Capture and initial data load.

Video: Real-Time Data Delivery from an Oracle Database

This 2014 video shows HVR delivering data real-time from an Oracle database into ActianVector, to speed up reporting with Tableau. Without loosing the real-time aspect, reporting is sped up by several orders of magnitude. Setup is quick and easy

 

Webinar: The Case For Continuous Data Integration

How do you drive the most value from your data? There is growing attention on the need to process and analyze data in motion. As your business looks to generate additional value from multiple data sources, simply processing historical data is likely not going to be enough.

In this webinar you will:

1. Learn how continuous data integration can drive value for your business

2. Gain insights into how leading global organizations have implemented this approach

3.  Find out how this approach can help eliminate data silos

Want to discuss how HVR can work in your data environment? Click the orange button to contact us!

 

Real-Time Analytics Related Blog Posts

Prescriptive Analytics

All Aboard the Prescriptive Analytics Express

Racing down the tracks with the equivalent of 170 Boeing 747s in tow, the 440,000 pound (200,000kg) next-generation locomotive is about to break. Some of the hundreds of sensors pulling in over 150,000 data points per minute show one of the train’s two turbochargers (yes, some trains have turbochargers) is starting to fail along with part of the cooling system. While the cost of…

Real-Time Analytics

Real-Time Analytics Transforms Industries

In past blogs, I’ve defined real-time analytics and discussed alternative architectural approaches to implementing real-time analytic solutions. I’ve also touched on how some of our customers, such as Lufthansa, Aspen Marketing Services (a division of Epsilon), and the US Coast Guard employ HVR software in the airline, marketing, and aviation logistics industries.

Different Approaches to Real-Time Analytics

Different Approaches to Real-Time Analytics

Real-time analytics is a widely used IT term that can mean different things to different people. To some, it means extremely fast query response times, even if the data being queried resides in a data warehouse that hasn’t been updated in days. To others, it can mean embedding a monthly BI report into a workflow so that the user has relevant and sufficiently current information needed to…

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