Data-driven Decision Making

Use analytics to make better tactical and strategic decisions

 

Data-driven Decision Making

Use analytics to make better tactical and strategic decisions

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The power of analytics to improve operations, refine strategy, and boost revenue just keeps growing – we help you make analytics central to decision making at all levels

The power of analytics to improve operations, refine strategy, and boost revenue just keeps growing – we help you make analytics central to decision making at all levels

Decisions without data is like flying without instruments

With the pace of business and innovation accelerating, the need to make rapid, well-informed decisions has never been more important. Moreover, younger workers – especially millennials – are data hungry: they expect it to be integral to meeting their individual business goals. This is where data-driven decision making using analytics comes in. They supplement experience and replace gut-based instincts with hard data. In HR, finance, operations, sales and marketing – pretty much across the firm, workers, managers, and corporate leaders use analytics to identify cause-and-effective relationships that inform and improve ongoing actions, planning, operations, and strategy development.

Descriptive analytics: looking back to know the past

Basic analytics tells you what happened after key actions were taken. It is usually focused on KPIs across operational and business units. They can tell you the effectiveness of an email marketing campaign or how introduction of automated alerts sped up the supply chain. Not only that, they can also identify staff and tactics that lead to better deals with partners. They can pinpoint the combination of processes that resulted in an increase in worker productivity.

We help you put descriptive analytics in place to drive data-driven decision making. And we make them easy to use. In the past few years, analytics have become very user friendly. Once a dashboard or reporting system has been set up, we make sure decision makers require only a few clicks to get the information they need to shorten from weeks to hours the time needed to assess effectiveness.

Predictive analytics: modeling the future

Once analytics are in place, forward-looking organizations use them to support forward-looking data-driven decision making. They create models that represent how their businesses work, and the impact of key decisions. The models also include external factors, such competitor activity, changes in regulations, technology adoption rates, and economic cycles. By using predictive analytics to automate forecasting, organizations can quickly assess the outcome of dozens or even hundreds of different strategic and operational decisions.

We put it all in place at your firm. Working closely with your analytics team and senior managers, we help you integrate past data sets, build models, and test hypotheses about what might happen. We also help you integrate analytics-based decision making into Strategy Execution Management (SEM) to ensure it becomes part of corporate DNA.

Optimizing your data-driven decision making: The Synergy Consulting Group approach

Even for firms with analytics systems in place, it can be tough to get things pointed in the direction. The storm of data – from online sources, brick-and-mortar stores, IT systems, administrative systems, finance departments, and sales and marketing channels – means many organizations are overwhelmed with information. But they lacki true knowledge.

We work closely with clients to ensure they benefit from the full potential of their analytics.

Are you just getting started with analytics? Or making the transition to using predictive analytics? We help you:

Determine your readiness: We assess your capabilities to ensure you have the right skills, operating model, and IT systems in place. We also evaluate your organization structure and where it may need to change to ensure effective use of analytics. And we examine the corporate culture to be sure it is ready to shift from guesswork and gut instinct to data and testing.

Generate leadership commitment: Corporate leaders have generally achieved their success because they are good at their jobs. Analytics can make them better. But dispensing with an overreliance on experience can be difficult, even for the most forward-looking corporate leaders. We can assist in the transition with education and training programs that are persuasive yet respectful of success.

Set-up data systems: We help you identify the relevant transaction data and its collection and storage nodes, set-up data cleaning and validation procedures, integrate data for correlation and regression analyses, and develop models that will supply your office of strategy management with the tools and training needed for better decision making.

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