Data Analytics

Thinking Creatively while Executing on Objective Evidence and Insight

We value ingenuity while taking an evidence-based approach.

“Data is the new oil, and analytics is the combustion engine.”
Peter Sondergaard, Gartner
We tend to agree. There is a wealth of data out there. Why not turn it into insightful information? We encourage strategic and innovative thinking grounded in evidence-based solutions.
• What information does your business already have access to in your systems available for use?
• Have you considered leveraging industry or government databases?
We firmly believe that challenges are merely hidden opportunities. A diamond in the rough! Business analytics is applicable to all businesses, from small to large. Have you considered the underused data in your accounting department or accounting information systems? For each company it is certainly different; however, just think of all the unharvested information in cash, accounts receivable, and accounts payable transaction histories alone. We can help you optimize your business processes and units. The sky is the limit!
Opportunity Examples
Accounts Receivable
• Improve customer satisfaction and loyalty (i.e., payment patterns)
• For what are (potential) customers searching?
• Through what platform(s) do they engage?
• What is our onsite foot traffic? Online? When do customers shop?
• Cross selling opportunities
Inventory
• Identify slow moving items, conducting test counts, identifying obsolete items
Accounts Payable
• Duplicate payment detection, invoices, and related transactions (i.e., errors)
Payroll and time sheets
• Reducing error or fraud
What would be the advantage if we helped you predict the following?
• The probability of a customer to refer other prospects.
• The probability of a client to buy other products.
• The likelihood of an employee to refer other prospective employees.
• The likelihood of an employee to leave.
OUR PROCESS
1. Schedule an appointment.
2. Customize a plan.
3. Execute together.
OUR APPROACH/PHILOSOPHY
1. We recognize that every business is unique.

Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects • Relating data to return on investment, financial values, and executive decision-making • Data sources including surveys, interviews, customer satisfaction, engagement, and operational data • Visualizing and presenting complex results

Ways that We Can Help You Leverage Big Data
• Planning and forecasting (i.e., rolling, multi-year plans) for all dimensions of the business
• Advanced financial and management analytics
• Profitability modeling and optimization
• Minimizing risk and fraud
• Comprehensive balanced scorecards
• New insights through additional financial ratio and information analysis
• KPIs, benchmarking, dashboards
• Ability to drill down into live data from dashboards and reports
We are in the midst of the Fourth Industrial Revolution. The collection and reporting of accounting information has changed significantly during the last four decades. As strategists, CFOs and financial leaders play a key and prominent role in business. Responsible for financial, human resources, and information technology oversight, we have years of experience driving organizational excellence. Partner with us so that your business can leverage!
We have served in several leadership roles including the C-suite and on the executive committee of nonprofit boards. With a consistent record of proven results as a business executive and financial leader, we have a history of driving organizational excellence. An advocate of strategic planning and thinking, we take an innovative approach while making timely and sound decisions via an evidence-based lens. We believe in leveraging institutional knowledge coupled with innovative approaches through cross-functional leadership and knowledge management.

“From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two days…and the pace is accelerating.”
Eric Schmidt,
Executive Chairman, Google

Business Analytics

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Business Intelligence

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Descriptive Analytics

Descriptive Analytics

• Information that has happened in the past. • Traditional historical information. • Examples • An assessment of customer credit risk can be predicted based on that company’s past financial performance. • A prediction of sales results can be created from customers’ product preferences and sales cycle. • Current product reviews can be used to predict future sales. • Employee evaluations can be used to predict turnover.

Diagnostic Analytics

Diagnostic Analytics

Describes the reason for the historical results. • Attempts to answer the question, “Why did this happen?” • Examples • In traditional finance, variance analysis uncovers the underlying reasons for differences in budgeted and actual results. • Causal analysis can be used to describe why certain results occurred. • Analytic dashboards can be used to describe why something happened. • Tracking the increase in views, posts, fans, followers, etc. as a result of purchasing additional views on Facebook to increase the exposure of a particular post, video, or picture.

Predictive Analytics

Predictive Analytics

Attempts to determine what will happen by analyzing historical data and trends. • Examples • An accounting department prepares a cash flow projection report. • Preparing an estimate of inventory levels. • Predicting an outcome based on changed assumptions. The revenue will increase by a specific percentage if an additional 5 percent is spent on the marketing budget. • The issuance of additional coupons or promotions for a retail organization is projected to result in a 10 percent increase in revenue. • Based on historical results, ads released the week of Black Friday are predicted to generate greater than normal sales for the Black Friday holiday shopping season.

Prescriptive Analytics

Prescriptive Analytics

Uses the information from descriptive, diagnostic, and predictive analytics to suggest specific decisions or changes in approach to a business strategy. • Best scenario to take to achieve the desired outcome. • Examples • Airline seat prices and the way the cost per seat regularly increases as the departure date draws near. • Facebook suggests to the user that there are additional friends with whom to connect.