Competitive Intelligence

The Ultimate Guide to a Successful AI-Powered Competitive Intelligence Program

Chapter 1

The Growing Need for AI in Competitive Intelligence

Competitive intelligence (CI) has made its way into organizations of every size. Starting with companies wanting to track competitor movements and decisions, CI is now a vital area enabling you to gain a competitive advantage.

0%

of businesses are planning to invest in competitive intelligence.

of businesses are planning to invest in competitive intelligence.

Companies rely on Competitive Intelligence to:

Gain a Competitive Edge

Overcome Key Challenges

Spot New Opportunities

Whether it is quickly switching up tactics or adjusting a company’s overall direction, a reliable CI program has been at the helm of successfully pioneering these adaptations.

Simply implementing a CI platform does not guarantee results. Many companies are left underwhelmed. With slow updates, irrelevant insights, and large volumes of data to wade through, it’s no surprise that companies are not seeing success with their current CI programs.

Traditional CI programs are hampered by stagnated and siloed insights, where analysis lacks flexibility and timeliness for companies to quickly adapt to new changes and stay ahead.

A solid CI program should provide actionable insights that empower organizations to unearth new opportunities and build enough foresight to meet new challenges.

The current business environment is evolving at an accelerated pace. Paired with increasing market volatility, companies must monitor competitors and create strategies that maximize opportunities and reduce uncertainties. 

To be successful, companies need to build a program that accounts for changes in the market, different situations and contexts, and areas that require specific domain knowledge.

Common Challenges & Limitations that Hinder CI Success

Surplus of data and noise

Fast rate of change

Lack of context in intelligence

Siloed teams

Decentralized information

Surplus of data and noise

Lack of context in intelligence

Fast rate of change

Siloed teams

Decentralized information

Successfully implementing a robust CI program helps companies break through the limitations of traditional intelligence, spot new opportunities for growth, increase market presence, quickly respond to threats, and stay ahead of the competition.

This ebook shows how companies can build a robust CI program by highlighting where technology falls short, common pitfalls, how to empower your CI teams, and instrumental elements to building a smart CI program. 

OUTCOMES

Only 20% of analytics insights will deliver business outcomes through 2022

2019 Gartner Analytics and BI Solutions Study

Chapter 2

Evaluating Competitive Intelligence Technology

Competitive intelligence (CI) has made its way into organizations of every size. Starting with companies wanting to track competitor movements and decisions, CI is now a vital area enabling you to gain a competitive advantage.

To choose a tool that sets you up for success, you must:

Understand Internal Stakeholder Needs

Survey internal stakeholders to understand the type of intel they need to improve their job performance, how they receive it, and how they will interact with that intel.

Agree on Data Sources & Curations

Depending on your industry, public vs. private, and which internal stakeholders you serve, you will need different data sources. This ranges from different sources of web crawling and secondary research to the level of reliance you’ll have on primary research.

Benchmark

Understand where fall in relation to your objectives. Marking this helps you stay focused and measure long-term progress.

Determine Objectives

Look at what you’re doing well and what type of data or workflow you need to propel your company forward. For example, are you struggling to capture relevant intelligence or are you struggling delivering that to internal stakeholders?

When evaluating tools, it’s imperative to evaluate the one that will best fit your objectives. For example