Daniel McKean

In the document, I talk about how successful organizations understand that the power of a digital transformation strategy lies in its vision, scope, and objectives. Less digitally mature organizations will tend to focus on individual technologies and strategies that are decidedly operational in focus.

As digital technologies further emerge and mature, technology becomes the catalyst for digital disruption, reinforcing aspirations for business change and digital transformation. However, technologies are not necessarily the underlying reason for necessitating business change and transformation.

Technology has become the enabler of disruption, whereas changing consumer behaviors have become the business disruptor.

Digital transformation is the vision for creating greater value across the entire business ecosystem, which benefits the organization holistically, where value is defined as creating better omnichannel brand experiences. This is the opportunity. This is where transformation truly leads to greater business outcomes, profitability, and business ROI.

A comprehensive annual campaign audit to quantify performance by leading KPIs and performance metrics while applying qualitative analysis insights to help steer future execution.

The audit scope included a review of corporate media values, campaign design and impact, and performance by business goals and objectives, with a final review of campaign execution parameters.

Insights were threaded throughout the audit, culminating with a review of campaign optimization opportunities with predictive modeling.

Social Media Strategic Objective: Create a visually influenced aspirational brand experience with a highly engaged consumer audience in support of the Can-Am Spyder off-road vehicle and European marketing objectives.

You’ve got to start with the consumer experience and work backward to the technology. The greatest danger for most of us is not that our aim is too high and we miss it, but that it is too low and we reach it.

To strive for greatness is to aspire for greatness. The 1st step is to architect a framework as a guiding and adaptable business model—customizable for each department or business function’s unique needs. Any building blocks implemented today must be designed to grow and mature over time as ROI is demonstrated and as internal expertise, experience, and skillsets grow and mature.

These 12 guiding steps can be used as a process roadmap. The framework may be unique for each organization based on specific corporate needs and requirements. No two initiatives will be alike, as every journey will be unique. Process and methodology become critical for aspirational change. This roadmap blueprint is a starting point for business innovation.

Most companies talk about managing and leveraging data and treating it as an asset to deliver more business value. The conversation is usually at a high level, but it’s much more than these top-line objectives. The conversation needs to break down business values by operational and departmental needs to identify goals and initiatives that would benefit the organization holistically.

Every person in an organization uses data at some point during the day to make decisions and complete tasks. Still, most people understand data value only in the context of their individual activities. For a data strategy to truly develop essential internal business value, communicating the vision to all stakeholders becomes critical to its adoption and success, ultimately leading to greater cooperation and collaboration among all stakeholders.

A dashboard is essentially a data visualization tool that tracks, analyzes, and displays KPIs, metrics, and critical data points. Depending on stakeholder group needs, dashboards can be developed in one of the following three fundamental types:

1. Strategic or managerial dashboards focus on providing key performance indicators in an easily consumable and quick‐to‐understand visual. End users seek immediate answers rather than digging deeper into the data.

2. Tactical or operational dashboards focus on showing the progress of work being managed. These dashboards are designed to show the current state of a program or business operations initiative, which can visually highlight when there is a problem.

3. Analytical or data analysis dashboards focus on allowing end users to explore the data in as many ways as possible. This dynamic dashboard enables users to explore their data through filters and comparisons to uncover meaningful insights. These dashboards also support quantitative research.

Every digital audit is like detective work involving qualitative and quantitative research. You must dive deep into the world of online communities, meticulously extracting valuable insights that align perfectly with audience and project specifics. Imagine knowing precisely where potential customers are discussing products, services, or brands that matter most to your organization. That’s the promise of online audits!

In the fast-paced world of digital marketing, making data-driven decisions is not just an advantage; it’s a necessity. Among the plethora of tools and techniques at the disposal of marketers and data analysts, predictive models stand out for their ability to transform complex marketing challenges into opportunities for strategic optimization. Today, I’d like to discuss the value of leveraging linear regression statistical models, particularly in the realm of paid media campaigns, to maximize returns and drive business growth.

Content marketing promises to be a preferred content distribution model to better engage and influence target audiences at every step in the consumer journey. It is not an isolated tactic reserved for a single piece of content or campaign; rather it should be viewed as a critical and sustaining component within your overall content strategy and integrated digital marketing effort.

• Website analytics: Google Analytics

• Dashboards: Datorama, DOMO, Tableau, Google Data Studio, Power BI

• Digital media: DSPs, DMPs, attribution modeling, UTMs, tags, pixels, website analytics

• Native social media analytics: Facebook, Twitter, Instagram, YouTube, Pinterest, LinkedIn

• SEO/SEM: MOZ, SemRush

• Social media management: Radian6, RivalIQ, Sprinklr, Sysmos, Synthesio, Hootsuite

• eCommerce platforms: Amazon Vendor Central, CitrusAd

• Surveys and focus groups: Toluna Surveys, Google Forms