Numerify, Inc.

The true benefits of measuring IT service delivery satisfaction come when dashboards are put in the hands of those who provide direct customer service. Read on for more: https://www.numerify.com//measuring-it-service-satisfact/

Traditional methods of categorizing incidents may result in glaring blind spots without the aid of AI/ML techniques: https://www.numerify.com//4-ways-your-unstructured-it-da/

To ensure business success enabled through a 360 view of all relevant metrics, IT leaders need to be capable of breaking down silos and aggregating all relevant data. Here’s how: https://www.numerify.com//siloed-it-system-of-record-rep/

How do you directly measure the customer experience for those receiving IT services? You can look to metrics for activities that form the basis of customers’ relationship with IT. Check it out: https://www.numerify.com//measuring-it-service-satisfact/

Investing in #AI-powered capabilities that improve the quality, availability, and performance of mission-critical services is now all the more important. Take a look:

Analytics features, such as AI, are a means to an end i.e., they exist as a part of a workflow designed to help you succeed in your goals.

From a practical perspective, AIOps can be defined as the use of task-specific AI/ML tools to benefit #IT organizations and help them achieve their goals. Why do you need it now more than ever? Read on.

There are many use cases where AIOps can drive tremendous value potentially delivering payback ROI within weeks or months. Check it out:

IT operations fills one of the most vital roles in DevOps: to supply feedback to developers and provide the final link in a continuous value chain. These 8 metrics offer vital feedback: https://www.numerify.com//8-it-operations-metrics-that-o/

Identifying all stakeholder groups and their subjective understanding of value enables IT to leverage metrics that have the strongest persuasive power. Here's how: https://www.numerify.com//focus-on-stakeholder-value-to-/

Despite enthusiasm for #AI, many #IT leaders are unsure of the best tactic for implementing AI in change management processes. Our article sheds some light on why.

These 4 steps will further reduce CAB dependence and accelerate value creation in IT Operations. Check them out: https://www.numerify.com//the-new-role-of-change-advisor/

Standard changes following a known procedure can be pre-approved and resolved without the CAB. This lets the CAB spend its time on emergency changes and other duties. Read on: https://www.numerify.com//the-new-role-of-change-advisor/

Prioritizing these basic elements of an AIOps solution ensures that IT operations teams can get the capabilities they need to achieve the transformation they deserve: https://www.numerify.com//aiops-and-the-capabilities-it-/

A recent Forrester study of Numerify’s customers found that broader visibility and improved vendor tracking resulted in data that could be used to guide contract negotiations. Take a look at 3 ways your IT team can better leverage the strength of your providers.

By tracking specific change metrics, IT operations can deliver feedback more effectively and complete the DevOps loop with development to reduce risk across the entire product lifecycle. https://www.numerify.com//8-it-operations-metrics-that-o/

The defect escape rate is a valuable measure of your overall product quality from the earliest stage to the last. We explain more valuable metrics in our article: https://www.numerify.com//8-it-operations-metrics-that-o/

Whether you’re IT team is exploring a new vendor or trying to optimize an existing relationship, here are three key data-driven ways that you can ensure a successful partnership.

AI-powered analytics can give DevOps organizations greater visibility into not just the health of their product, but the true nature of their value stream. Check it out: https://www.numerify.com//how-an-ai-powered-feedback-loo/

Transitioning to a data-centered culture, where all of your IT process data is consistently analyzed and used for decision making, can seem daunting. You can start the process of gaining insight into your IT process today not tomorrow, and not whenever a long list of nice to haves in your data can be satisfied.

How can an IT organization reliably achieve the benefits promised by AIOps? We have answers: https://www.numerify.com//aiops-and-the-capabilities-it-/

Being able to predict the performance of future metrics can allow IT teams to anticipate challenges before they occur as well as chart projections for current KPI trends into the future. Sound too good to be true?

Ideally, modern change management encompasses three key disciplines: -Predict and mitigate change risk. -Increase change velocity and productivity. -Accelerate change failure recovery. ... Check it out: https://www.numerify.com//optimizing-change-management-i/