5 Keys Necessary to Lead in This Age of Analytics

John Krautzel
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Even though more and more corporations rely on big-data analytics to achieve higher profits and lower costs, your company still needs elements of business leadership to take it to new heights. Companies that leverage analytics better than others win out in this fast-paced competition. Smaller companies, thanks to inexpensive software, can compete against larger ones for market share. Discover these five keys to lead the way in the age of analytics.

1. Corporate Strategy

Big-data analytics should envelop your entire corporation from the top down, and that means putting an emphasis on these numbers in your overall strategy. A clear vision with regards to analytics gives all departments a way to focus their talents to develop new products, services, marketing and opportunities to expand. When everyone is on board with this plan, the company moves forward as a cohesive unit. This strategy must start with business leadership and trickle down to all other employees.

2. Scalable Processes

Hone in on scalable processes that you can automate and repeat throughout your organization. This might mean bringing on the latest sales, customer relationship management, key performance indicator or human resources software. When all departments become used to dealing with big-data analytics, these programs are second nature. People readily migrate toward analytics time and again to develop new and improved revenue streams. When this happens at scale, your company wastes less and less time pouring over information.

3. Monetization

The point of big-data analytics is to monetize what processes work. Your overall strategy can lay out criteria for how much time to spend on improving processes before finding different ways to improve your KPIs. Examining what makes money and what doesn't becomes a continuous process, which is why it's vitally important for all of your teams to get on board for analytics as soon as possible.

Knowing what to analyze, when and how points you to future trends in your industry. What works in May 2017 might not come to fruition by the end of the year. That's why your strategy must include timeframes for looking into profitability, time to market, staffing levels and materials needed to make money.

4. Artificial Intelligence

Artificial intelligence makes this work. AI doesn't necessarily replace jobs, but it makes many people's jobs easier. The most intelligent programs learn when they aggregate more and more data. Once your teams master how AI works, everyone's job becomes more efficient so people can focus on your core business.

5. Benefits

Recognize the benefits of big-data analytics in that it brings down labor costs. With inexpensive software packages, cloud-based data storage and access to information through mobile devices, even smaller companies can afford to look into these types of computer programs. All you need is the hardware you already have on hand with a secure internet connection.

Big-data analytics are here to stay thanks to the innovation of technology companies. When you combine clear goals with people who competently use these tools, your company gains many advantages over the competition as you seek higher profits and greater market share.

Photo courtesy of adamr at FreeDigitalPhotos.net


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