DataData Data is a set of quantitative and qualitative facts that can be used as reference or inputs for computations, analyses, descriptions, predictions, reasoning and planning. Accuracy

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Pipeliner CRM Data Analytics ebook

Much of the contentContent Content refers to a material or document released in various forms (such as text, image, audio, and video) and created to inform, engage or influence specific audiences. is taken from the ebook that you can download here, which is supplemented by other content such as videos, blog articles, and more.

All of this content will help you identify what types of data to analyze, and how to analyze it effectively so it delivers actionable insights.

“A point of view can be a dangerous luxury when substituted for insight and understanding.”

Marshall McLuhan, PhilosopherMarshall McLuhan, Philosopher

Accurate Data

Why does it matter?

Accurate Data for analytics

Salespeople waste 27.3% of their time working with inaccurate data (546 hrs wasted per year on average)Source: Zoominfo

Poor data can cost businesses at least 30% of revenues according to Ovum Research.

A Harvard Business Review study discovered that only 16% of business decision-makers were confident about the accuracy of the data underlying their business decisions.

Forbes reports that 97% of executives say the pandemic sped up their digital transformation.

It is difficult to interpret data and make decisions simply because there are too many data points to assimilate and understand. You therefore need the best tools available, so accurate decisions can be made.

Pipeliner CRM Indicators Feature

The Indicators feature is unique to Pipeliner CRM & directly supports data accuracy.
Let’s start with some definitions:

Indicators in Detail Key Indicators Features

Indicators in Detail

Key Indicators Features…

  • All Indicators

  • Leading Indicators Only

  • Lagging Indicators Only

  • Applies to Leads, Opportunities & Activities

  • Dynamic Filtering

  • Drill down into details

Key Indicators Examples…

First, decide which salespeople you want to include. Then you can view leads created by quarterQuarter Quarter is a three-month period in a company’s fiscal year commonly used to make comparative performance analyses, detect or forecast business trends, report earnings, and pay shareholder dividends. with the numbers displayed and the salespeople colored-coded — plus you can click on an individual salesperson to review their particular stats.

Who is creating the most leads?

With Pipeliner’s unique Power Panel you can create different views of the data, save them and even share them with others. Perhaps you have multiple sales units, different territories, or countries or different types of salespeople (inside vs. outside) — you can use the filter function to view them together, individually or in subsets.

Filters & Profiles

You can, for example, look at the average number of days spent on Opportunities in whatever timeframe you select (months, quarters, etc.). In addition, for example, you can see how many opportunities your teams or individual salespeople have created, won, or lost and even view the actual opportunity amount. Plus you can look at win rates, sales velocity, and average deal size.

Reviewing Opportunities

Using this same functionality, you can review activities for teams or individuals (or even groups of individuals). You can look at them by type of activity, such as emails or calls, and see how many have been made in a certain period of time. 

Reviewing Activities

You have 3 broad entities you can visually analyze through the Indicator function: leads, opportunities, and activities. You can drill down all the way to an opportunity level and view everything in detail. No other CRM offers this level of functionality.

3 broad entities you can visually analyze

Why Data Visualization matters

“84% of business leaders agree that making decisions quickly based on real-time data is increasingly important.”

Harvard business logoData Issues Report, Harvard Business Review

The Human brain can process entire images that the eye sees for as little as 13 milliseconds

Additional Resources

Continue on your Data AnalyticsAnalytics Analytics is the active study of different types of data with the aim of discovering meaningful patterns and translating these into insight (such as historical analyses and forecasts), or action (such as those intended to improve business performance). journey…