Auditing Business Processes Through Analytics

Auditing Business Processes Through Analytics

There’s a reason why businesses are trending towards big data. Data analytics can be used to isolate areas of a business that need to be improved, in addition to paring down to the areas of the business that are performing most successfully. Through an internal audit, a business can fine-tune and streamline its business processes, ultimately using performance metrics to improve its productivity and revenue.

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Identifying and Validating Cost Savings through Analytics

Identifying and Validating Cost Savings through Analytics

It’s often easier to reduce an organization’s costs than it is to increase its income, but the bottom line is the same — an increase in revenue. If you’re looking for ways to streamline your expenditures and improve your cost savings, it’s time to look at your analytic data.

Analyze Your Data for Savings Opportunities

Your expense sheet holds all of the information you need to identify potential opportunities. Identify your largest suppliers and vendors and begin there. Look for opportunities to:

  • Reduce prices through discounts. Long relationships with another vendor may put you in the position to negotiate.
  • Reduce prices through consolidation. If you’re currently working with multiple vendors, you may be able to save money by consolidating through a different business.
  • Reduce prices through alternatives. Some vendors may no longer be competitive in relation to others within their industry.

Use Your Reporting

Visualized, aggregated data gives you valuable insights that you might not be able to see on a spreadsheet. This is the premise behind big data visualization: large-scale patterns may only be visible once data is consolidated, analyzed, and visualized. Using the right software solutions, you can better understand where your organization is spending the bulk of its money. From there, you can look at ways to fine-tune your operations.

Look at Supplier Performance

A supplier may not just be costing you money in terms of raw materials. Assessing supplier performance is also necessary to determine the full impact of their costs. Are delays making it necessary for your organization to delay products? Have mistakes in the supplier chain required returns or additional administrative processing? Supplier performance impacts efficiency, which can impact the system as a whole.

Visualized, aggregated data gives you valuable insights that you might not be able to see on a spreadsheet. This is the premise behind big data visualization: large-scale patterns may only be visible once data is consolidated, analyzed, and visualized.

At the same time, contract compliance must also be enforced. If suppliers are required to deliver product under certain guidelines — and they are not doing so — then they are not performing up to their contract. Issues of compliance must be enforced if negotiations are to be useful.

Forecasting and Planning Your Cost Savings

In addition to making decisions based on current spending, you must also consider future spending. If certain areas of your business are about to grow and expand, then your organization needs to focus on developing out these sectors and reducing costs within them. If areas of your organization are starting to become obsolete, then their cost savings benefits are going to be minimal.

Creating Results from Data Analysis

Data analysis is not effective if it isn’t used to affect change. Once your cost savings data has been analyzed, it’s time to make simple, clear, and functional changes to the spending of the departments that it impacts.

If you want to reduce spending in your organization, comprehensive data analysis is the most effective way. Through better data analysis, you can drill down to your organization’s spending habits, discovering inefficiencies and identifying trends. Of course, this also requires the right software and the right business processes. You can find out more through the experts at Starr & Associates.

Learn more about how we can help your business. Contact us

Creating a Data-Driven Culture in Field Service

Creating a Data-Driven Culture in Field Service

Data-driven cultures are far-reaching. Nearly every industry is currently being disrupted through data analytics, and the field service culture is no exception. Many companies are utilizing a combination of unmanned drones, sensors, and data analysis to make field service more effective and comprehensive. Here’s what you need to know.

Predictive Field Service Management Models

What if you could predict when a system would go down? With big data, you can. Big data uses a combination of sensors and historical data to identify environmental conditions that could indicate a breakdown. This data isn’t a replacement for traditional field service techniques, but instead, it’s designed to augment field servicing. Big data can be used to tell field service technicians when there could be a critical problem, as well as to fine-tune the number of times technicians go out and when they go out.

Predictive field service models work hand-in-hand with the Internet of Things. Internet of Things devices are utilized to capture data in the field, and this data is analyzed. Big data isn’t magic — it requires tremendous amounts of data which is then used to view patterns. As an example, a certain heat signature might only occur just before an element breaks. These patterns can then be used to create a risk assessment for individual machines and equipment on the field.

A data-driven culture is a cost-effective, safe culture. Better data means technicians need to be on the field less and are on the field when they are most useful. Not only does this reduce field-related industries, but it also reduces the overall cost to a business.

Creating a Data-Driven Culture

A data-driven culture is a cost-effective, safe culture. Better data means technicians need to be on the field less and are on the field when they are most useful. Not only does this reduce field-related industries, but it also reduces the overall cost to a business.

Creating a data-driven culture begins with the right hardware and software systems. Companies must take care to outfit their on-the-field infrastructure with the right sensors and IoT devices and must utilize state-of-the-art software to capture and analyze this data.

Companies also need to change their core business processes to directly relate to and manage this data. The technology has to be integrated at all levels of their field servicing so that data brought in and analyzed has an ultimate impact on when service calls are made and how service technicians operate.

Integrating data into field service is the first step towards making a more effective, productive, and competitive environment. Companies can substantially reduce their overhead while also reducing their risk, by utilizing an ecosystem that is less likely to experience breakdowns, delays, or injuries. For more information about this type of solution, contact the experts at Starr & Associates.

Learn more about how we can help your business. Contact us

Using Predictive Analytics for the Disruptors in Healthcare

For many decades, the healthcare industry as a whole was able to maintain status quo. In the last decade alone, however, it’s experienced a great deal of disruption. From self-service healthcare and patient self-advocacy to predictive analytics and big data, the industry is changing. From small clinics to large healthcare organizations, businesses within this industry must change with it.

What is Predictive Analytics?

In predictive analytics, historical datasets are compiled and analyzed for patterns. Once patterns are found, this analytic data is used to make predictions on future outcomes. Predictive analytics can be used for a wide variety of scenarios, ranging from determining whether a customer might leave the organization to identifying the products and services a customer may be most interested in.

Predictive analytics has existed for as long as data has existed, but it isn’t up until recently that the raw, computational power necessary for making accurate guesses was available. Organizations now collect more data than ever before and can use this data to make surprisingly accurate predictions.

What Will Disrupt Healthcare in 2018?

Patient-generated data can now be analyzed to diagnose a multitude of issues. As patients are continually becoming stronger advocates for their health, organizations are going to see an increase in self-service healthcare. Patients are going to be pursuing their own diagnosis and are going to be identifying their symptoms. Patients are also going to be studying their billing and their medical costs more intently.

In the past, it wasn’t always necessary for healthcare organizations to be proactive about transparency. Though patients have always had the right to their own healthcare data (and the agency to make their own decisions), it wasn’t always a priority that patients understand every step of the process. In the new medical landscape, patients are going to begin to demand to be equal partners in their health decisions.


The Challenges for Healthcare Clinics

To compete with these new, disruptive technologies, healthcare clinics are going to need to take steps towards creating a more patient-friendly system. Collecting data is only one small part of this; clinics will also need to be able to reliably analyze and protect this data, both regarding confidentiality and security.

As patients become more knowledgeable and forceful about their rights as a consumer, healthcare professionals are going to need to be more customer-centric and patient-focused. This may create a radical shift in many business processes and business operations, especially in terms of customer acquisition and retention.

Healthcare organizations are in for some significant and immediate change as the industry is in the process of being disrupted by new, advanced data technologies. At Starr & Associates, we can help. Contact us today to find out more about the disruption that could be headed for your business.

Big Bang Disruption: The Speed of Change in the Digital Era

Modern businesses need to adapt to the speed at which technology changes. The past decade has seen a multitude of entrenched industries fall by the wayside in the wake of digital disruption. Businesses need to be proactive about following technological trends if they want to avoid potential disaster.

What is Big Bang Disruption?

In our current society, technology doesn’t evolve slowly. True innovation appears on the scene and then suddenly explodes, completely supplanting whatever came before it. Big Bang Disruption is driven by new technologies; with advancements on all spectrums of technology, it’s easier for new technology to gain purchase.

Technology is consequently able to suddenly and thoroughly impact the economic market. With more affordable experimentation and information, companies are able to better innovate and to race towards technologies that are more likely to be lasting and helpful.

Keeping Up With the Speed of Change

Organizations need to invest in change management to remain agile and active in this new, technologically explosive era. Change management has to be developed as a company-wide, multi-phase process. At all levels, employees have to be committed to change.

Traditionally, employees and upper management alike are reluctant to commit to change because they fear that this change will have a negative impact on operations. By promoting constant change and providing a positive reward system, employees can get past this negative perception.

To improve change management, it’s important that organizations be transparent about their change management processes and that they be clear about the value proposition for employees. It must be clear that a business will fail if the business does not continually change. The goals of each change must be thoroughly outlined.


How Likely is Your Industry to be Impacted?

Different industries have different rates of disruption. Much like other areas of risk management, it’s critical that you understand your industry’s likelihood of disruption before you begin making changes. If your business is in a low impact area, you may not need to invest as much into your change management processes. If you’re in a high-risk area, it’s absolutely critical that you do so.

When it comes to disruption, there are four important aspects: viability, volatility, durability, and vulnerability. Diversified chemicals, tires and rubber, and alcoholic beverages are all considered to be durable industries. On the other hand, the consumer technology, banking, and investment banking industries are experiencing volatility, as regulations and changing markets have shifted their operations.

Ultimately, disruption and change management may not be a process that can originate from within. Instead, businesses may need third-party help to develop the processes that their organization needs to continue to thrive. Contact us today at Starr & Associates to learn more about how we can help your business manage its change.

It’s A Date

21 May 2018 Tableau

Our data analytics team at Starr & Associates often partners with operations and our six sigma engineers to drive process improvements by using various exploratory, statistically descriptive, or predictive analyses to identify opportunity. 

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