ServiceNow Performance Analytics components and it’s uses.
ServiceNow Performance Analytics
ServiceNow Performance analytics transforms business by allowing organizations to create, track, and analyze progress toward targets. It also provides more individuals with better data in less time and allows them to focus on what matters.
How can be ServiceNow performance analytics utilized?
ServiceNow Performance Analytics provides a centralized dashboard, allowing you to spend more time studying charts rather than creating them. With centralized dashboards, your team will always have the most up-to-date information. These dashboards effectively create a centralized source of truth.
As you measure and assess the performance of your processes, you may notice new trends. By linking your core metric with subsequent metrics, you can see the impact of your activity. The link between an incident and change management visualization through analytics and dashboards will help you measure the performance of your business. With new information like this, you can make informed decisions and focus on the right goals and SLAs. You can make sure you’re measuring yourself on the right scale so you’ll know when there’s a problem.
The following concepts and components are included in the ServiceNow performance analytics:
Indicators: Indicators are measurements of a business service that help you track your organizational behavior at regular intervals. A set of indicator scores are generated as a result of these performance measurements throughout time. These scores are used by businesses to assess existing conditions and estimate future developments. Indicator scores can be derived from other indicators, entered manually, or created automatically from a collection of data described in an indicator source. It can be seen and analyzed in the Analytics Hub or shown on dashboards via widgets.
Elements and breakdowns: Breakdown elements are the values for each breakdown. The elements Critical, High, and Low, for example, may be included in the Priority breakdown. Depending on where these elements come from, breakdowns are classified as automatic, manual, or external. Breakdown sources specify automated breakdown elements. The pieces of a manual breakdown are manually entered to define an organization.
Data Collector: It is an engine that collects snapshots of your process tables on a regular basis and stores them in the Scores and Snapshots tables. Data collector jobs can be set up to run automatically on a schedule. Typically, a job schedule is created to correspond to the frequency of the indication source. In most cases, a single operation delivers scores for numerous indications that use the same indicator source. You can also create manual jobs, such as historical jobs, that execute only when data for a new indication is collected.
Analytics Hub: Analytics Hub is an exploratory perspective of indicators that can be utilized for more in-depth investigation. It displays trends, forecasts, breakdowns, and related information for a specific metric.
Dashboards: Dashboards are collections of numerous widgets, such as performance Analytics, reporting, and others. It can be responsive or inactive and in order to create or share a responsive dashboard, you must have at least one role, which can be of any type. On responsive dashboards, you can drag widgets to move and resize them and on non-responsive dashboards you have less flexible drop zone layouts that can be seen, created, and edited by Performance Analytics roles.
Targets: Targets are goals that your business wishes to attain, and they are operationalized as indicator scores. It allows users to measure the difference between a targeted score at a specific date and an indicator’s actual score.
Thresholds: Thresholds establish an indicator’s usual range of scores and notify you when particular occurrences occur, such as when a score reaches an all-time high or low. Personal thresholds are exclusively visible on Analytics Hubs, but global thresholds are visible on both the Analytics Hub and the time series widget.
Widgets: Widgets are reusable displays of indicator scores in Performance Analytics. A widget, for example, can show the evolution of an indicator through time, how an indication might be split down, or how numerous indicators compare to one another.
Performance Analytics Stages in ServiceNow:
Stage 1: Determine the metrics to be used and align the organization (discover your key metrics).
Stage 2: Learn about and use dashboards, indicators, and scorecards.
Stage 3: Gather data and populate scores to create snapshots of your company’s performance.
Stage 4: Personalize the dashboard with scorecards and widgets to view your performance trends.
Stage 5: Using threshold alerts and indicators, use analytics to improve service.
Stage 6: Tailor Performance Analytics to your specific business requirements.