Putting Data Analytics to Work

Turn Your Data into a Competitive Advantage

As an industry we are sitting on a goldmine of

data but utilize only 3-5% of all that data.

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Turn Your Data into a Competitive Advantage

We are in the midst of a data explosion where every action is

collected, from a credit card swipe to the vibration of a

factory machine. You have been collecting data for years

now, from equipment sensors, to workforce information and financials. In

fact, as an industry we are sitting on a goldmine of data but utilize only 3

– 5% of all that data.

According to IBM we create 4.5 quintillion bytes of data from a variety of

sources. About 90% of that data is unstructured. How do we make sense

of it all, or better yet, transform it into a competitive advantage?

One of the biggest challenges for manufacturing is the “evolve or die”

threat – technology is evolving at such a rapid pace that if you can’t adapt

fast enough, you will fall behind your competitors and fail. Businesses are

realizing they need to do more than receive and store information.

Analytics is the key to deriving insights from data that can be the

difference between leading the industry or being left behind.

How do we make sense of it all, or better yet, transform it into the

information you can use? Unstructured data, legacy systems, daily waves

of data from sensors; what can you do today to start turning your data

lake into a strategic advantage? It may seem overwhelming, but

Audimation Services can help you navigate a path of success through

your data.

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Predictive Maintenance

Industrial facilities are gathering real-time data from sensors to

identify maintenance issues before they impact the workflow and to

ensure machinery operates at peak performance. Data can be

gathered and analyzed to predict problems before they occur.

Baker Hughes released a case study showing how to go from concept to

product in 24 months – rapidly increasing the cycle of innovation time. 3D

printing and enhanced data analytics are two innovations that are driving

this movement, and the future is coming fast.

Operators and managers are often faced with making tough decisions

without data on hand. When it comes to maintaining the equipment on

the shop floor, managers often have one of two options; running the

machines to failure or using time-based preventative maintenance. Both

options have downsides. Run-to-failure means maxing out the life of the

machine, which can lead to diminished output capacity or lost time when

the machine finally dies. Time-based preventative maintenance

maximizes equipment uptime, but the parts replaced could still have life

in them.

But what if maintenance and reliability professionals had data that could

help them predict and maximize the useful life of their equipment while

improving production uptime. Blending the two approaches, informed by

data-driven insights, is the gold star for the future of the shop floor.

Affordability and availability of sensors, technology, IoT and network

capacity are all factors in making Predictive Maintenance a reality for

manufacturers today. Blending capacity with the right technology and

analytic know-how makes the dream of Predictive Maintenance a reality.

Cost Efficiencies

Understanding your fixed and variable costs compared to your

consumption can help the people in your organization who source,

plan and manage your resources more effective in overall

operations and in finding ways to conserve costs and negotiate price.

Procurement leaders and managers can identify trends and project parts,

supplies and costs based on demand to help the organization better plan

for the future, and drive cost efficiencies across the organization.

Inventory Management is hungry for data analytics to move beyond

traditional, historical aging methodologies based on purchase/production

or sales data. Apply the Lean Manufacturing theory and consider the

adequacy or identify surplus inventory based on future projected sales to

stimulate your ROI.

IoT and network capacity are all factors in making Predictive Maintenance a reality for manufacturers today.

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Supply Chain Improvements

According to The Hackett Group Study: Analytics: Laying the

Foundation for Supply Chain Digital Transformation, 94% of

supply chain leaders say that digital transformation will

fundamentally change supply chains in 2018, while only 44% have a

strategy ready. Digital transformation brings a wave of data; planning for

that data coming from disparate sources can make all the difference on

the success of adopting this digital transformation.

Understanding your fixed and variable costs compared to your

consumption can help the organization source, plan and manage

resources more effectively across the entire operation, in addition to

identifying ways to conserve costs and negotiate on price.

Applying data analytics in this transformation has many benefits such as

forecast accuracy, identification of demand patterns, better product

tracking and traceability, analysis of transportation performance and

analysis of product returns just to name a few.

Data analytics can also be used to identify weather risks such as

hurricanes, earthquakes or other conditions that might delay

transportation routes vital to manufacturing supply chains; having these

predictive models, manufacturers can begin to predict potential amount

of delays and plan accordingly. Some businesses must prepare ahead of

these instances with weather predictive data to ensure they have

inventory on hand, resources of staff that might be needed and other

ways to better prepare their business by using predictive analytics.

Key Performance Indicators

Your data can also reveal the health of your overall company, key

initiatives, campaigns and processes. In industry, some standard

metric dashboards can be created using data analytics to track

inventory turnover, on-time delivery, scrap percentages and more.

Product Innovation

Product managers must make hard decisions about what products

to keep, what to lose, how to optimize the management of the

product lifecycle, and what features to include for existing

products. Data analytics empowers product management with tools that

can pull in customer usage and perception data about your product and

your brand, along with actual financial and supply chain models to build

future products based on insights from your own data.

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Moving Beyond the Silos

Keeping data in silos, solely within the confines of a single

organization, limits your visibility to the vital lifelines in your

company. What business insights can your finance team find from

the shop floor? What efficiencies can the shop floor gain in productivity

and cost effectiveness by better understanding the back office? How

can procurement better plan and source with up-to-date information on

daily production needs? Executive teams can gain key insights across the

company by connecting the dots of data across department within the

company. We can help. Putting data analytics to work is what we do best.

Extracting information from data effectively takes an understanding of a

key formula that blends technology with data preparation, analysis,

reporting and visualization best practices. Whether you want to develop

your data analytics practice in-house, or leave it to the experts to

outsource, Audimation is your trusted partner for all things analytics.

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It can be in yours too.

Data can be many things including a source of insights and a source

of frustration. The key to unlocking the real value of your data lies

in being able to translate data from any source and format into

relatable information for your business.

Our process includes a Project History function that tracks the steps we

take with your data, therefore nothing is ever lost. Audimation is able to

give data quality assurance through this system. You are constantly

challenged to operate more efficiently, with fewer resources, yet more

output, but how? Audimation specializes in applying analytics to help

manufacturers turn raw data into a competitive advantage.

Here is how we can help you:

• Automate complex processes without coding

• Apply analytic intelligence to spot trends, patterns and risk areas

with ease

• Blend massive amounts of data from legacy systems or those that

don’t “talk” to one another to gain new insights across the enterprise

• Process enormous amounts of data in minutes

• Bring your results to life with advanced visualization technologies

Data Analytics and Data Quality is in Our DNA

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Let’s Get Started!

Our team of experts are ready to help you tackle tough challenges

and achieve what you never imagined possible. For a limited time,

we are offering a complimentary assessment of your data to

demonstrate our capabilities and help you achieve rapid results.

Contact sales@audimation.com to grab your spot!

888.641.2800 sales@audimation.com

www.audimation.com

Putting Data Analytics to Work