Judy Caroll

1 year ago · 1 min. reading time · ~10 ·

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Operational Intelligence Software Lead Generation Strategies

Operational Intelligence Software Lead Generation Strategies

Operational
Intelligence
Software Lead
Generation
Strategies
 
 

Operational Intelligence is a data analytics philosophy that focuses on implementing quick business decisions and taking action based on real-time data. This method employs automated data gathering techniques including artificial intelligence and machine learning, as well as data warehousing techniques that prioritize fast and efficient scrubbing along with data preparation.

Operational intelligence applications are usually designed with front-line workers who must take faster actions based on everyday events. The goal is for these business intelligence tools to make their work easier by providing actionable intelligence in real-time.

In this post, we are going to tackle the different lead generation strategies that prove the most effective for Operational Intelligence software as well as how AI plays an integral role in it.

Build a Reliable Data Foundation

A common issue for many businesses arises from complications caused by the need to combine data from various sources. Some outdated software systems simply can’t cope with the amount and diversity of disparate data. Outdated tools are inefficient, less effective, and more time-consuming, and compound the opportunity for errors because they do not have the corresponding operational capacity.

Outdated data platforms and analytics technologies include those systems that limit your company with a legacy burden. Big data brings an opportunity to have a full-scale view of your business. However, to get big data distilled into something useful, you need to learn how to combine and efficiently analyze various types of data. Information from disparate sources isn’t easily linkable, it’s prone to dirty data and often results in unstructured or semi-structured data.

When researching vendors or partners to assist in establishing a reliable data foundation, there are several best practices to follow:

  • Evaluate a partner’s ability to ingest and process disparate data types, particularly those you’ll be using, to ensure you’re in good hands.
  • Include both the business users as scales and marketing alongside IT departments in the evaluation process to make sure the platform serves everyone’s needs.
  • Obtain upfront pricing and an actual development outline associated with any customizations you may require.

Read the full article here: The Savvy Marketer

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