Predictive Maintenance and Machine Learning

January 25, 2019

Improve Expert Systems with Datawatch Predictive Maintenance analytics and machine learning Whether it be scheduled or unscheduled, the cost of downtime in manufacturing environments can be extremely costly to the business, often to the tune of millions of dollars annually. Unexpected downtime can significantly impact tangible and intangible operating costs. To mitigate risk associated with downtime, manufacturing operations often develop equipment maintenance calendars, servicing equipment regardless of whether it is needed, leading to higher than necessary overhead expenses. This doesn’t have to be the case. Advances in technology have enabled organizations to collect real-time data about how their equipment is operating. This data contains hidden indicators of future equipment failure. Using predictive analytics manufacturers can extract these hidden insights so they can choose to do maintenance when the risk becomes high.

Spotlight

Harnham

Data and Analytics recruitment is our core business and we’re proud to say, our customers believe we’re good at it. In our most recent customer satisfaction survey, 95% of respondents said that they would recommend Harnham…

OTHER WHITEPAPERS
news image

Data Connectivity 2022

whitePaper | August 18, 2022

The 2022 data connectivity survey pivots somewhat from prior years’ studies. Data connectivity and data integration are well established in the traditional on-premise computing environment. But we’ve seen that as organizations increasingly expand their domains to one or more cloud service providers, it is important to better understand the challenges and opportunities for connectivity presented by modernization initiatives.

Read More
news image

Human-Proofing Sensitive Data Governance with Automated Data Classification

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

Read More
news image

How to Analyze and Maximize Customer Retention: Asset

whitePaper | May 10, 2022

Understanding all the factors that impact customer health and retention requires a comprehensive view of complex data.

Read More
news image

Building a Data Management Strategy for Your Nonprofit

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

Read More
news image

The State of Security Data Management 2022

whitePaper | October 20, 2022

Over the past two years, security has emerged as the most important aspect of data management. Data volumes are increasing at a 23% CAGR, according to IDC. Digital transformation means that organizations across all industries have become tech companies tasked with managing massive, sprawling data sources.

Read More
news image

CDAIT Digital Transformation

whitePaper | November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

Read More

Spotlight

Harnham

Data and Analytics recruitment is our core business and we’re proud to say, our customers believe we’re good at it. In our most recent customer satisfaction survey, 95% of respondents said that they would recommend Harnham…

Events