The new augmented analytical capabilities in Zia, ManageEngine’s artificial intelligence (AI) assistant, powers Analytics Plus to make faster decisions and save IT costs, increase revenue, and improve end-user satisfaction, ManageEngine says.
According to the company, 50% of organisations in Australia and New Zealand reported the business analytics usage rose in the past two years to make decisions faster—with 58% reporting it improved decision-making and 63% reporting it improved the use of available data.
However, IT service desks continue to rely on database administrators to provide them with reports and dashboards to read, understand, and interpret their IT data.
This takes time and creates dependency on database experts who may not be proficient in the IT department's operational tactics.
This often means the generated insights are irrelevant or outdated by the time service desks gain access to it. ManageEngine says these reports also might not provide actionable insights, such as those obtained through advanced analytical and interpretive skills gathered from detailed charts, pivots, and dashboards.
"ManageEngine understands the IT analytics market and its demand for a reliable, scalable analytics solution that offers meaningful insights faster. To meet these demands, we have tweaked Zia to read, interpret, and provide insights in the form of digestible narratives,” explains ManageEngine product manager Rakesh Jayaprakash.
“Users can easily understand trends, anomalies, deviations in their data, and get predictions on the future all just by clicking one button. Accessible from every report and dashboard, these automated insights work behind the scenes to let you know what things need your attention right away," he adds.
While earlier users could get reports just by asking or typing in a question, there's always a need to study reports and view underlying details: what caused the spike in IT spending; why is there a sudden increase in project backlogs; and why are projects not meeting deadlines.
ManageEngine's conversational support for Zia, its AI bot, enables users to have meaningful conversations about key metrics and KPIs by asking further questions and refining initial questions by customising variables and parameters.
"In order to stay ahead of the curve, businesses need to make strategic decisions and plans for the future. These decisions are often based on predictive analytics. Although the theory is technically sound in practice, predictive analysis tends to fall prey to one of these errors: over prediction or under prediction,” says Jayaprakash.
“Scenario planning eliminates the errors involved in prediction-based legacy planning systems by factoring in multiple scenarios. This allows users to effectively assess a situation by considering multiple outcomes both in the positive and negative end of the spectrum,” he says.
Scenario planning equips C-suite people, IT leaders, managers, and senior staff members to prepare for fail-safe strategies that work in any given situation.
It also enables them to create strategies with the ability to adapt quickly to minor revisions and changes during critical situations.
Using scenario planning, ManageEngine says users can:
• Assess the impact of various scenarios on the outcomes
• Identify the driving forces in any given situation and develop a range of possible scenarios
• Analyse the effectiveness of plans against critical uncertainties.