Analytics Plus ROI calculator

Analytics Plus consistently delivers an impressive

10x return on investment (ROI)

Discover how much your organization could save with Analytics Plus today

Average number of reports created weekly The number of reports built weekly for strategic decision-making and management. Learn more.

Volume of data generated monthly The volume of data IT apps generate and inevitably store, each month. Learn more.

Data engineer hourly wage The hourly wage of data experts for report and dashboard creation in traditional analytics tools. Learn more.

Implementation engineer hourly wage The hourly wage of engineers for understanding, extracting, and importing data for analytics implementations. Learn more.

Number of IT applications The number of IT applications you wish to establish data connections with, to import and analyze data. Learn more.

Number of power users The number of analytics users who will actively analyze data and build visualizations to generate required insights. Learn more.

Expenditure before Analytics Plus
$153,000 /year
Expenditure after Analytics Plus
$24,900 /year

Total savings

$128,100 /year
Try Analytics Plus today

Total savings

$128,100 /year

Other benefits from Analytics Plus implementations

Data-driven culture with democratized insights

Democratizing data and analytics across the organization fosters a data-driven culture at all levels of management. This ensures that analytics is not limited to top management for strategic decision-making but is also accessible to administrators and technicians. By enabling these users to visualize operational efficiency and identify areas for improvement, organizations can drive informed decision-making and continuous optimization across every level.

Decisions based on data rather than intuition

Having analytics readily accessible ensures that decisions are driven by data rather than intuition and sole reliance on subject matter expertise. This approach empowers all stakeholders to make informed choices grounded in clear, actionable insights provided by data.

Faster decision-making with contextual insights

Analytics Plus enables users to embed reports and insights directly within operational tools, providing contextual access to key data points. This capability ensures that insights are available exactly where they are neededwithin the relevant apps and screenseliminating the need to switch between multiple platforms. By delivering actionable insights natively within operational tools, Analytics Plus expedites and streamlines workflows, empowering teams to make faster, more informed decisions.

Enhanced operational efficiency

Leveraging analytics improves organizational efficiency by optimizing resource utilization and enabling tasks to be completed in shorter timeframes. These data-driven insights not only streamline operations but also contribute to significant cost savings, ensuring better performance and productivity across the board.

ROI calculation breakdown

With an average annual implementation cost of $10,000, organizations save approximately $100,000 over the same period. This underscores the transformative value Analytics Plus brings to organizations by enhancing efficiency, reducing costs, and driving productivity gains.

Automated reporting via conversational AI assistant, Zia

IT managers and administrators typically spend 15 to 30 minutes building a single report required by management for decision-making. Based on data from ManageEngine, an average of 10 reports are created each week, amounting to approximately 20 hours per month dedicated solely to report creation. This manual process not only consumes valuable time but also requires a deep understanding of underlying data structures, making it a resource-intensive activity.

Savings witnessed with Ask Zia:

Time saved:
  • With Ask Zia, the 20 hours/month of manual report creation can be reduced to eight hours/month.
  • This saves 12 hours/month, which is 144 hours in a year.
Cost saved:

Let's assume an analyst earns $50/hour; this time savings translates to:

  • 12 hours/month * $50 = $600 saved monthly
  • 144 hours/year * $50 = $7,200 saved annually
Key benefits:
  • Time savings: Over 144 hours saved annually for report building.
  • Cost savings: Up to $7,200 per year in reduced report-building costs.
  • Productivity: Substantial increases in productivity as IT managers and administrators can instead focus on strategic tasks.

With Ask Zia, organizations can achieve significant time and cost efficiencies, boosting overall productivity and decision-making speed.

Data storage and processing costs

One of the biggest hurdles when implementing analytics software is differentiating usable data from the overwhelming volumes available. Without the ability to differentiate, organizations often store all data as it is generated, leading to significant storage costs.

On average, only 10% of the stored data is actually used for analysis. Analytics Plus addresses this challenge by fetching only the necessary data points through its out-of-the-box connectors, reducing storage requirements by up to 90%. Organizations can additionally customize data retention periods, ensuring unused data is removed promptly and optimizing costs further.

Savings witnessed in data expenses

Assumptions:
  • Data stored: 100GB added each month (includes storage and read/write operations). This is retained across months, with new data generated each month.
  • Average data retention period: 24 months
  • Data storage cost: $100 a month for 100GB
  • Usable data for analysis: 10% of the total data stored
Calculations:
  • Storage cost: $30,000 for 24 months (for a compounding 100GB data stored at $100/month)
  • Storage cost for the 10% usable data: 10% of $30,000 = $3,000 for 24 months
  • Savings from optimized data storage:
    $30,000 - $3,000 = $27,000 saved over 24 months
  • $13,500 saved annually

Key benefits

By leveraging Analytics Plus' efficient data handling and retention capabilities, organizations can:

  • Cut storage costs by up to 90%.
  • For every 100GB data stored monthly, save $27,000 over two years or $13,500 annually.
  • Streamline data management, focusing only on actionable insights.

Analytics Plus not only optimizes costs but also simplifies the analytics process, delivering tangible ROI.

Short deployment cycles

Typical deployment cycle for Analytics Plus is as follows:

  • Small- to medium-sized businesses: Five to 10 days
  • Large enterprises: 15 to 30 days

This includes connecting to all the major data sources from where data needs to be analyzed and building meaningful analyses out of them. The wide range of integrations that are available out of the box ensure that the majority of the heavy lifting is done by the application without manual intervention.

In typical analytics implementations, an analyst must thoroughly understand datasets, determine extraction methods, and configure data retrieval from various applications. This process can vary depending on the application, involving API integrations, direct database connections, or custom scripts, all of which are time-intensive. With Analytics Plus, these complexities are largely automated, eliminating the need for dedicated analysts to perform these tasks manually.

While traditional analytics implementations take around three months, Analytics Plus reduces this to just one-third of that timeframea 66% reduction. Considering the average cost of an implementation engineer at $50 per hour, this reduction saves organizations $16,000 in implementation costs.

Cost savings calculation

  • Traditional implementation cost:
    1. Duration: Three months (approx. 480 hours)
    2. Cost of implementation engineer: $50/hour
    3. Total cost: 480 hours * $50 = $24,000
  • Analytics Plus implementation cost:
    1. Duration: One-third of the traditional timeframe (approx. 160 hours)
    2. Cost of implementation engineer: $50/hour
    3. Total cost: 160 hours * $50 = $8,000
  • Total savings: Traditional cost - Analytics Plus cost = $24,000 - $8,000 = $16,000

Intangible benefit

Organizations can start using the analytics solution two months ahead of time and begin their journey of data-driven decision-making.

Data connector maintenance cost

One often overlooked aspect of maintaining data connections with IT tools is the continuous effort required to update and manage connectors. This includes tracking new features and modules in IT tools, adapting to changes in underlying data structures, and keeping up with API updates. For a typical mid-sized organization with around 10 IT and business tools and software upgrade cycles every four to eight weeks, maintaining these integrations becomes a significant task.

To handle these updates, organizations often need a dedicated data analyst whose salaries can range between $50,000 and $90,000 annually, depending on the geographical location. Automating this process or leveraging solutions like Analytics Plus, which simplifies and automates connector updates, can save organizations substantial costs and resources while ensuring seamless integration management.

Cost savings calculation

  • Number of updates annually: Six cycles per tool * 10 tools = 60 updates/year
  • Average time spent per update (estimated): Five to 10 hours, based on complexity
  • Average time spent on total updates: 300 - 600 hours annually
  • Cost for a data analyst: $50,000 - $90,000 annually

Reduced time to train personnel

Analytics Plus, built around the self-service theme, significantly reduces the training time required for staff to achieve proficiency. While most enterprise analytics software demands approximately 80 hours (i.e., 10 days) of intensive training, Analytics Plus requires only 40 hours, reducing training time by at least 50%. This streamlined approach ensures users can quickly familiarize themselves with the product and begin leveraging its capabilities.

Cost comparison for training a team of 10 users

  • Industry standard training: 80 hours
  • Industry standard training cost: $75/hour per user * 80 hours * 10 users = $6,000
  • Analytics Plus training: 40 hours
  • Analytics Plus training cost: $75/hour per user * 40 hours * 10 users = $3,000
  • Savings: $6,000 - $3,000 = $3,000 saved

Key benefits

  • Reduced training time: 40 hours instead of 80 hours.
  • Cost savings: Up to $3,000 saved for training a team of 10 users.
  • Faster onboarding and productivity, enabling teams to focus on actionable insights sooner.

By cutting both time and costs in half, Analytics Plus provides organizations with a quicker, more cost-effective path to proficiency compared to traditional enterprise analytics software.

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