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Are Automated Data Collection Systems Cost-Effective? How to Justify Your Investment

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Automated data collection systems are often a substantial investment, particularly for enterprises first implementing company-wide initiatives involving thousands of assets. Automated data collection champions within organizations are often eager to prove ROI in order to justify both the effort and the cost. Fortunately, justifying investments in automated data collection is feasible, and often within reasonable time frames.

Keeping Pace with Innovation Has Rewards

inventory-control-scannerEarly adopters in various industries have the burden of proving the value of embracing advancements in technology. It’s at this early juncture that most technology investments are most expensive, with prices typically dropping as efficiencies are gained and advancements evolve from new and innovative to standard and expected.

Automated data capture (ADC) has been proven cost-effective and even profitable across a multitude of industries. While some industries are just beginning to adopt regulatory standards requiring companies to use efficient asset tracking and data collection methods, others are first discovering the value of automated data collection in improving business processes.

The fact that ADC isn’t a new innovation yet also isn’t quite saturated across industries creates a unique opportunity for companies in many verticals. In other words, you get the advantage of lower costs coupled with the confidence of adopting a proven technology. Look for success stories from companies not only in your industry but in other verticals with comparable business processes and systems benefiting from automation in various forms.

Convincing business leaders to adopt automatic data collection is the first step, but you’ll be expected to justify the investment that you’ve championed following implementation. Fortunately, justifying ADC investments is relatively simple when you look to the right data.

Identify Easily Quantifiable Metrics

Justifying investments in automatic data collection should encompass both direct savings and ROI and the more-specific but sometimes harder-to-measure soft benefits, or tangible vs. intangible benefits.

Concrete, quantifiable benefits are easiest to measure and thus are the easiest path to justification. These easily quantifiable metrics include:

  • Labor Costs – ADC reduces demands on staff, enabling companies to realize savings in overtime costs, taxes, and other benefits.
  • Operating Costs – By reducing labor demands and optimizing processes, companies are able to achieve more with less both in terms of time (greater output from the same or fewer resources boosts profits) and space (inventory storage, shared assets, etc.).
  • Fixed Asset Investments – One of the biggest areas for potential gain is in the area of fixed asset investments. ADC makes it possible to better monitor and maintain expensive equipment, machinery, and other assets, which in turn extends the usable lifespan of many assets. Thus, businesses are able to get more from investments and extend the time between repairs and replacements.

As these costs are typically already measured in some form or another by most organizations, determining the ROI of a newly implemented ADC initiative is as simple as comparing before-and-after figures, provided no other variables were present that could skew the data.

Establish Baselines

asset-tracking-IMG_3906_revWhen implementing an ADC initiative, identify quantifiable, measurable metrics at the start of the project focused on areas in which you hope to realize gains. For instance, automatic data collection can speed documentation time and reduce errors. Both of these objectives can be quantified.

Determine how much time it takes to perform data collection tasks without ADC systems in place – either for a particular task or over a specified duration of time. Likewise, calculate errors identified and/or corrected during a pre-determined time frame or on a given data collection task before introducing ADC. Before and after comparisons are simple when you take the time to establish a baseline before implementation.

Don’t Ignore Other Measurable Benefits

Many of the benefits of automated data collection are soft, or not as easily quantifiable or easily tied back to ADC as the cause. Alone, these benefits are sometimes insufficient to convince data-oriented, bottom line-focused leaders that the investment is justified. But tapping into today’s vast data sources to offer measurable progress in these areas is particularly powerful when combined with other data illustrating clear cost savings across other areas such as labor, overhead, and fixed asset costs. Don’t ignore soft benefits such as:

  • Increased Sales – Sales may increase due to better data accessibility for sales staff, such as field sales representatives, on factors such as current inventory levels and detailed product information.
  • Employee Satisfaction – Employees armed with the tools to do their jobs effectively are generally happier, and as a result, they work harder, produce better outcomes, and are loyal to their employers.
  • Efficiency – Efficiency gains in one area tend to have a domino effect that is realized throughout the organization (much like the ripple effect in the supply chain). Thus, ADC often results in improved efficiency in departments directly impacted by ADC as well as others.
  • Customer Experience and Satisfaction – Happy employees have better, more positive interactions with customers. ADC can contribute to better service delivery, faster shipment and product delivery, accurate product information and communication, and fewer inventory and shipment errors, a group of effects that together have substantial impacts on customer satisfaction.

A comprehensive analysis and review that encompasses both tangible and intangible benefits is the most effective way to prove the ROI of ADC investments – even to the most critical executives. When you prove the gains realized across practically every facet of the organization, the value of an ADC system is impossible to deny.

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You Can’t Have Big Data Without Clean Data

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big data

Big Data is the holy grail of analytics today. With it, organizations can gain predictive analytics and user behavior analytics, and discover patterns, trends, and associations that were once impossible to gather. Big Data leads to better decision making, which leads to improved operational efficiency, reduced risk, and bottom-line cost savings. But Big Data can be difficult to attain. A lot of work must be done before organizations can realize the benefits of Big Data. Before you can get Big Data, you need clean data.

Issues such as duplicate data, incorrect numbers, missing characters, missing data fields, data associated with assets no longer in service, and multiple numbers associated with one asset can corrupt data, making it inconsistent and inaccurate. Data cleansing, reconciliation and Master Data Management (MDM) are critical to achieving clean data, but can be seen as time consuming and costly endeavors with little short term results.

Review your Data

Financial Planning Accounting Report Spreadsheet ConceptSo how do organizations begin gathering and cleaning data along the path to Big Data? In an article about clean data, Patrick Gray, a leading technology expert and consultant, suggests to, “Start with the problems you expect Big Data to solve, the benefits of gaining the rapid responses and refinements characteristic of Big Data, and then compare the costs of repeatedly performing cleaning versus biting the bullet and doing it right the first time.”

As Gray suggests, the first step is to identify what data you have and what you need to achieve your Big Data goals. This includes MDM activities such as data reconciliation or a complete audit of inventory. It typically involves examining current records within a database and confirming the information held in the legacy database is correct.

This may be a lengthy process, but one that will reap benefits in the end. But don’t bite off more than you can chew. Gray states that, “some early, small successes are far better than getting caught in the weeds of trying to solve all your data problems at once and never actually delivering any value.”

Keeping Data Clean

Once your legacy data is clean, how do you ensure it stays clean, and that new data is clean going forward? Again, it goes back to understanding your overall goals for Big Data analytics.

Simplify Data

Make sure the data you’re collecting is what you need for analysis and you aren’t capturing irrelevant data based on past practices. This could mean simplifying the data you’re gathering, such as removing unnecessary fields. More isn’t always better. Adding fields and functions into software can reduce the timely analysis you’re looking to achieve.

Develop Data Gathering Policies

asset-tracking-IMG_3906_revFrom what data to gather to the proper method of collecting data, consistency is key to data quality. Agree on the MDM data fields that are most important to your data analysis. This includes part numbers, model numbers, serial numbers, etc. Then use consistent tools or methods to collect that data. Automatic data capture systems, such as bar code labels and scanners, are the most reliable methods to capture data. These methods leave little room for error like manual data collection where it’s easy to miss fields or transpose numbers.

Identify Errors

Reviewing data allows you to identify common errors or pinpoint the areas where errors typically occur. Investigate and correct all data errors before they are entered into the system and develop your own policies and best practices to ensure the errors do not continue.

While many organizations have gotten by with messy, incomplete or incorrect data in the past, the push toward Big Data highlights the prerequisite for clean data first. If your organization is shifting toward the need for instantaneous data analysis, clean data is the fundamental first step. For assistance getting or maintaining clean data, contact Camcode.

 

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ScanSKU Android Barcode Scanner- Rugged M Series (1D & 2D) Review

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ScanSKU’s Android Barcode Scanner – Rugged M Series (1D & 2D) is the company’s flagship barcode scanner, offering rugged durability for holding up to the tough environments found in warehousing, retail floors, and even on-the-road use. It comes with an unlocked Android 5.1, meaning you can use it with nearly all Android-compatible apps and platforms. Because it runs on the widely-used Android operating system, it provides near-seamless adoption for users familiar with Android mobile devices.

ScanSKU

ScanSKU also offers other barcode scanning options including the Android Barcode Scanner – Rugged M Series (1D) and the Wearable Ring Android Barcode Scanner- R Series. In this review, we’ll focus primarily on the Android Barcode Scanner – Rugged M Series (1D & 2D).

Applications and Typical Uses

The ScanSKU Android Barcode Scanner – Rugged M Series (1D & 2D) is designed for use in warehouse and retail environments, but it’s rugged and durable enough to be put to use on the road, as well. It’s used for standard functions such as pick/packing, POS, and invoicing and can also be used on the shop floor and off-site, providing the functionality and accessibility your team needs to provide accurate, real-time information across departments and to customers.

Scanning Capabilities

The ScanSKU Android Barcode Scanner – Rugged M Series (1D & 2D) is compatible with all 1D and 2D barcode technologies. It’s Wi-Fi-enabled so you can transmit data in an instant, and for extra storage needs, you can make use of the MicroSD card slot. It offers multiple scan settings, such as the ability to add prefixes and suffixes or to perform a particular keystroke after scanning (e.g. TAB or Enter).

Operating Systems and Software

The ScanSKU Android Barcode Scanner – Rugged M Series (1D & 2D) runs on the popular Android operating system, making onboarding users a breeze and offering a variety of integrations and compatibility with a variety of eCommerce, WMS and Asset Management software solutions, such as:

  • WooCommerce
  • Bigcommerce
  • SKU Vault
  • Invoice2go
  • Top Shelf Scout
  • And many others

All scanners come with the ScanSKU app, designed for stocktaking, already installed. Because this scanner operates on an open, unlocked Android, it works with virtually any Android-compatible app or service, and it comes equipped with popular Android apps including Google Play, Gmail, Facebook, and more, providing seamless access and easy integration with the tools and apps you already use and love. Click here for a full list of integrations.

Durability

ScanSKU scanners have a tough and rugged exterior to protect against damage from typical wear-and-tear as well as the common environmental conditions found in warehouses and on retail floors. It’s built tough to handle being knocked about on the shop floor or on the road, and it also comes equipped with an adjustable strap to attach the unit to the user’s hand, making users less likely to drop the device. A four-inch backlit screen is also built to last.

Android Barcode Scanner- Rugged M Series (1D & 2D)

Additional Features and Functionality

The ScanSKU Android Barcode Scanner – Rugged M Series (1D & 2D) is the ideal size, offering the perfect balance of usability, functionality, and portability with dimensions of 52mm long, 77mm high and 29mm wide (20 x 15 x 10 cm; 7.9 x 5.9 x 3.9 in), and it weighs just 1.5 pounds (1.7 kg). In addition to its 1D and 2D scanning capabilities, the ScanSKU offers a number of other features and functions that make the device useful for much more than barcode scanning.

Key Features:

  • Backlit LED touchscreen
  • Ergonomic, hard-key keyboard, plus soft keys on the touchscreen
  • Multiple scan buttons to suit individual user preferences
  • Rear-facing, auto-focusing 5-megapixel camera to photograph damaged stock
  • Removable battery
  • Adjustable hand strap
  • Sim and MicroSD slot for extra storage
  • ARM Cortex-A53 64bit Quad-Core 1.3G. 2G RAM
  • Storage temperature: —25C to 70C

Scanning Capabilities:

1D Supported Symbologies: All standard 1D barcodes.

2D Supported Symbologies: All standard 2D barcodes.

Built-In Software: The ScanSKU Android Barcode Scanner – Rugged M Series (1D & 2D) comes equipped with several standard Android apps plus the ScanSKU app already installed. It runs on the Android OS.

Software Compatibility: This barcode scanner is compatible with nearly any app or service compatible with the Android operating system, with integrations with many popular e-commerce and inventory apps.

Optional Accessories: Dock/Cradle for M Series Android Barcode Scanner (*Est. $60)

Cost: *Est. $605 (1D-only model: *Est. $555)

See more here: https://www.scansku.com/product/android-barcode-scanner-m-series-1d-2d/

Additional options from ScanSKU: https://www.scansku.com/product-category/android-mobile-computer-barcode-scanner/

 

 

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Maturing Solar Sector Creates Need for Solar Asset Management

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The solar industry has been around for quite a few years, but it’s just now ‘heating up’ as advances in technology make solar a more feasible source of energy for a broader user base, particularly as costs trend downward and the ability for solar systems to ‘pay for themselves’ in terms of reduced energy costs …

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7 Smart Warehouse Technologies to Implement Today

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Technology is an ever-evolving and ever-influential part of our everyday lives – and it’s advancing so quickly that it can be difficult to predict what is coming next. This sentiment is particularly true regarding the fields of warehousing, distribution, and logistics. If you purchase, or influence purchases, within your operation, you’ve been well aware of …

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What is DFARS 252.211 7006?

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The standardization of labeling and identification requirements for shipments is becoming increasingly important across all industries as warehouse automation and software integrations continue to connect critical aspects of the supply chain. Particularly for the military industry, there has been a recent, aggressive push to adopt the latest in technology while, at the same time, provide …

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Using RFID for Inventory Management: Pros and Cons

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In the ever-evolving world of inventory management, there’s a constant focus on improving efficiency. Companies of all sizes are regularly evaluating their current capabilities and finding ways to squeeze as much efficiency as possible out of their existing infrastructure while preparing to adopt new technologies that can take their performance to new levels. It is …

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How to Choose the Right Smart Meter

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Over the past decade, smart meter usage has sky-rocketed worldwide – and for good reason: these handy, high-tech devices provide highly-accurate readings, automatically. The innovation serves as a valuable time and money-saving solution for utility companies, and with the elimination of estimated billing, smart meters also help to put customers’ minds at ease. But, just …

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Federal Smart Gun Regulations for Law Enforcement

Guide to Smart Gun Safety Technologies: Legislation, Innovation & More

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One of the hottest political and social topics shaping American culture today is none other than gun safety, particularly it’s adjoining refuge or threat (depending on which side you are on), gun control. Obviously, the debate wasn’t created in a vacuum, the often-vitriolic discussion has emerged in response to the frequent acts of violence and …

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