Building Real-Time Analytics Systems

This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.

The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.

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Top 6 Use Cases for Real-Time Analytics

Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.

What’s inside?

  • 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
  • Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
  • Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.

View Now

Top 6 Use Cases for Real-Time Analytics

Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.

What’s inside?

  • 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
  • Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
  • Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.

View Now

Building Real-Time Analytics Systems

This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.

The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.

View Now

Epicor Vision Distribution Management Solution

Aftermarket heavy duty parts distributors face a combination of challenges: growing demands from fleet managers, intensifying competition, supply chain complexity, and more. Continuing to manage your business for profitable growth requires a new level of sophistication, powered by technology that delivers agile tools that evolve right along with you.

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Epicor Indago Warehouse Management System

Built specifically for dealership parts warehouses, Epicor® Indago™ Warehouse Management System (WMS) is a revolutionary, client- and mobile-based warehouse management system that helps locate parts, manage inventories, reduce unnecessary labor costs, and provide enhanced customer service capabilities.

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Epicor Vision US Top 10 Advantages

Epicor® Vision® software is the automotive aftermarket’s most powerful and comprehensive distribution management solution, offering dozens of high value capabilities that help drive increased business efficiency, profitability, and competitiveness. The following are 10 of the most recognized leading reasons—and dozens of related software features—that have made Epicor Vision software the clear choice of today’s most successful parts stores, distributors and jobbers.

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Data-Driven Parts Distributor

Data-focused companies have a unique insight advantage that can help prevent lost revenue and reduce unnecessary expenses. Leveraging data to make accurate, strategic decisions results in optimizing the supply chain, customer experiences, and business process improvements. However, many parts distributors have yet to unlock its value. If you want to become a “data-driven parts distributor” capable of transforming data into a powerful growth engine, this actionable guide is the place to start. We outline the seven key challenges preventing companies like yours from effectively collecting, organizing, analyzing, and acting on data and share practical advice on overcoming these roadblocks.

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Automate Your Business Workflow Starting with Your Warehouse

In today’s Automotive aftermarket, knowing the location and status of every SKU at every moment is crucial to expediting orders and streamlining workflow. Indago WMS enables customers to maintain strict control over their ever-moving inventories. Some of the benefits we’ll cover are:

  • Full visibility of the life cycle of the parts, helping accelerate the order cycle time.
  • Improve the efficiency of dealer inventories at every business location, enabling users to reduce stocking requirements for many parts.
  • Optimize the productivity of every warehouse employee and reduce total labor hours while increasing order fill.

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Epicor Indago WMS

Epicor® Indago™ WMS is a revolutionary, client- and mobile-based warehouse management system that helps users save time, reduce inventory and labor costs, and increase customer service levels. Indago WMS enables customers to maintain strict control over their ever-moving inventories. Knowing the location and status of every SKU at every moment is crucial to expediting orders and streamlining workflow. The solution’s mobile applications empower team members to perform at peak efficiency through real-time RF terminals.

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How Quick Consols Gets You Accurate Results Fast

Consider the fact that according to the National Transportation Safety Board (NTSB) up to 88% of charter planes that fallout of the sky are caused by human error. That number only drops to 50% when looking at commercial airliners.

Of course airplanes that stop flying, especially mid flight, tend to create a fair amount of noise (pun intended) because the impact on us is graphic and devastating on a human level. But what about all the other professionals out there including the accounting profession? The financial reporting requirements out there now are as complicated as the cockpit of an Airbus A380.

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3 Reasons Finance Departments Are Still Struggling with Overtime

While most companies excel at tracking their financial performance through clear metrics like profit and loss, they overlook measuring how employees spend their time. In many finance departments, particularly in larger companies, time is only ever considered during month-end closings and audit deadlines.

In our experience with every finance department across companies that Quick Consols has served, there's a consistent pattern of overtime during month-end reporting cycles. But why? Month-ends haven’t changed in the last 30 years. Interestingly, the process of data collation for management or shareholders hasn’t changed either.

Get Whitepaper

How Quick Consols Gets You Accurate Results Fast

Consider the fact that according to the National Transportation Safety Board (NTSB) up to 88% of charter planes that fallout of the sky are caused by human error. That number only drops to 50% when looking at commercial airliners.

Of course airplanes that stop flying, especially mid flight, tend to create a fair amount of noise (pun intended) because the impact on us is graphic and devastating on a human level. But what about all the other professionals out there including the accounting profession? The financial reporting requirements out there now are as complicated as the cockpit of an Airbus A380.

Get Whitepaper

3 Reasons Finance Departments Are Still Struggling with Overtime

While most companies excel at tracking their financial performance through clear metrics like profit and loss, they overlook measuring how employees spend their time. In many finance departments, particularly in larger companies, time is only ever considered during month-end closings and audit deadlines.

In our experience with every finance department across companies that Quick Consols has served, there's a consistent pattern of overtime during month-end reporting cycles. But why? Month-ends haven’t changed in the last 30 years. Interestingly, the process of data collation for management or shareholders hasn’t changed either.

Get Whitepaper

The State of Secrets Sprawl 2023

For the third year running, GitGuardian presents its State of Secrets Sprawl report, the most extensive analysis of secrets exposed on GitHub and beyond.

Their team of experts scanned and analyzed 1.027B new commits in 2022 (+20% compared to 2021) to uncover the latest trends and identify the most pressing challenges facing developers today.

The main question they seek to answer each year is, "How many new secrets were exposed on GitHub in the preceding year?" The answer is staggering: their analysis reveals 10 million new secrets occurrences were exposed on GitHub in 2022. That's a 67% increase compared to 2021.

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