Make Advanced Analytics Work for Your Organization

Deploy Focused, Cost-Effective AI Solutions, No Matter What You Manufacture

Artificial intelligence technologies – machine learning, deep learning and neural networking technologies – are transforming every area of manufacturing companies’ operations, from what happens on manufacturing floors, to supply chain management, customer and channel segmentation, and the contents of products and services themselves.

Applications based on machine learning and other AI technologies produce better outcomes, faster, and at lower cost than similar decisions based on human labor and cognition.

Examples of applications of AI solutions in manufacturing today:

Predicting which suppliers will have delivery or quality issues in the future in order to reduce stock outs.
Predicting when machines on the shop floor will need maintenance in order to minimize unplanned downtime.
Optimizing pricing and product offerings at a more granular level in order to maximize profit and minimize customer churn.

Meanwhile, many manufacturing firms today are still struggling.

The organization’s data is scattered, and often locked up, in transactional systems.
Data sets that are available to decision-makers are often not considered to be clean enough or consistent enough for analytical purposes, or are not sufficiently current to be used reliably.
Business intelligence (BI) capabilities that support normal course-of-business reporting processes are not widely available.
Tools to detect and diagnose unexpected occurrences are non-existent.
Applications for projecting future conditions, whether in demand, supply or finance, are not widely available.
Traditional sources of extension and enhancement, within IT, are consumed with the tasks associated with maintaining existing transactional systems, or with delivering new transactional solutions, and have little or no time to deploy new analytical capabilities.
The organization as a whole, while it has a clear sense of where the value from “AI” may lie, does not have the ability to translate those instincts into clear plans, well-defined and -prioritized projects, or agile implementation schedules.

Manufacturing companies must improve their decision making capabilities or they will become uncompetitive with those that do.

The Gap between Manufacturing companies that have successfully harnessed the power of AI and those that are still struggling is daunting.

However, there is hope.

Previously available only to the largest and most well-funded manufacturers, AI technologies have, in the last five years, become inexpensive and easily deployed at scale, using ready-made cloud service provider (CSP) infrastructure and commercial off-the-shelf technologies.

Design and Build With An Expert in Data-Driven Decision-Making

AnalyticsWare has, for nearly two decades, specialized in connecting commercial decision-makers with the data they need to make timely, effective decisions that reduce waste and expense, optimize sales campaigns, fine-tune product and service mixes and pricing, effectively segment and target customers, and identify and manage organizational risk.

We are experts in the design and implementation of traditional business intelligence (BI) environments, for human decision-makers, and equally skilled in the design and implementation of AI-driven advanced analytical applications that leverage the technology and automation tools available in the cloud service platforms of Amazon AWS, Google GCP and Microsoft Azure.

Identifying, characterizing and focusing on key high-leverage opportunities, and a clearly defined roadmap for our clients’ capabilities and technology investments, we design and build, iteratively, with our clients. We deliver impactful advances in decision-making capabilities at a predictable cadence, using well-integrated teams of our clients’ technical and commercial professionals, and our expert practitioners.

The systems we design and build with our clients deliver clean leverageable data, enable timely and effective decision-making, and return significant measurable business value to our clients’ operations, whether we’re renovating an aging data warehouse, deploying new analytical applications, or enabling our clients’ expansion into machine learning, artificial intelligence and the Internet of Things.

Learn more about our approach to building Analytical Platforms.

Maintained and Enhanced By Your Staff

Your organization’s ability to exploit AI effectively is, these days, primarily a function of your in-house IT capabilities – which often require renovation of your in-house technology, and almost always requires reskilling and refocusing your in-house talent: one of AnalyticsWare’s particular specialties.

AnalyticsWare works with your commercial and technical teams to build business-focused relevant analytical applications with clear and measurable returned business value, delivered on time and on budget.

All of our clients want to control their own destiny, and move at their own speed, without risky dependencies on outside consultants who, over time, become more interested in their revenue from their clients than they are in their client’s business challenges. So we do our work using an agile, collaborative approach that builds skills and capabilities in your technology teams and commercial operations, so that your employees can own, extend, enhance and manage their own decision-making platforms and environments – whether traditional business intelligence or cutting-edge advanced analytics -- without us.

Rapid, accurate, low-cost data-driven decision-making is now price-to-play in most industries, and the data-poor are falling behind.

If you need to catch up, or you want to get ahead, contact us to schedule a free discovery session.

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