Is your organization getting enough value from valuable data?
âHalf of my ad spend is wasted. The problem is, I don’t know which half.
The legendary joke of business pioneer John Wanamaker, now over a century old, is ready for a reboot. The real headache in many organizations today is wasting data.
In industries such as finance, manufacturing, telecommunications, pharmaceuticals, and healthcare, many organizations struggle to manage their ever-increasing volume of data and convert it into information that helps them innovate, create business. value and dominate their competitors, essentially to turn their big data into big decisions.
Call it the “Data paradox”: 67% of companies in a recent Forrester * study, commissioned by Dell Technologies, said they need more data than their capabilities can deliver, but 70% of them are already delivering data faster than they can can process and analyze them. The pandemic has only intensified this dilemma, as the growing on-demand economy generates more data for organizations whose skills, culture and infrastructure cannot always keep up.
To harness its greatest utility, organizations must retrieve their data from traditional silos and legacy infrastructure and share it widely, paving the way for greater predictive accuracy and more meaningful discoveries. Achieving all of this requires the implementation of new end-to-end technologies and services.
Data Novices and Data Champions
While six in 10 organizations agree that a Model as a Service (aaS) would help them become more agile and scale, only two in 10 have migrated most of their applications and infrastructure to aaS systems. More than half of companies are âdata novicesâ, drowning in their own data; only a few âdata championsâ extract the information they need from multi-cloud and aaS models and data processing at the edge.
For data novices, the risks of keeping legacy processes and technology in place are significant. Organizations that cannot generate data-driven innovations and strategies risk losing market share to competitors who know their audience and can improve Customer Experience (CX) because they can see, distribute, and integrate their data in real time.
Data champions create data-driven cultures and strengthen their competitive advantage by democratizing data: removing internal barriers and bottlenecks to motivate their workforce, inviting more employees to make critical decisions based on the data. Cloud-based aaS data models can also help these organizations to strengthen the security of their data while reducing data storage costs.
Here’s how two organizations became data champions.
Speed, precision, reliability
Healthcare company doctor helps hospitals and healthcare professionals apply artificial intelligence (AI), machine learning (ML) and analytics to data and uncover unusual patterns of drug delivery at every stage.
To support latency-sensitive AI and analytics workloads faster and more reliably, the company replaced its fragmented legacy infrastructure with a private cloud-based platform running software as a service. (SaaS). This migration has helped Medacist reduce data processing times and provide significantly faster and more accurate analysis.
Delivering analyzes that previously took 24 hours now takes five minutes. The increased reliability of the infrastructure meets stringent customer requirements, meeting the 99.99% uptime guarantee of service level agreements, saving Medacist millions of dollars in costs. This increased speed, accuracy and reliability has proven critical to Medacist’s expansion of its customer base from 600 vendors to over 2,000.
Speed, precision, reliability
Great Little Box Company, a small packaging materials manufacturer in Vancouver, determined its forklift IT infrastructure was underperforming by clogging data that was preventing the company from meeting customer demands, creating innovative designs, and producing and to efficiently deliver its inventory.
To connect data from its factory machines directly to its sales and service team, GLBC introduced aaS Enterprise Resource Planning (ERP) technology which improved the performance of its IT infrastructure: a key improvement in a competitive industry.
After GLBC selected an integrated modular solution, its IT partner installed and deployed the ERP infrastructure within 48 hours. The changes upgraded the company’s data center computing, storage and networking resources and increased performance by up to 100%.
Switching to this system also led to other economic and sustainability gains, as GLBC eliminated significant power and cooling demands on its stand-alone servers. âWe rely on it on a daily basis to streamline our business processes, from sales to the factory,â said Sorel Apreutesei, IT manager at GLBC.
Make your data work for you
John Wanamaker may have been comfortable wasting half of his ad spend, but your organization can’t afford to waste half of your data. Leveraging data for business insights that can improve the experience of your employees and customers means moving from an infrastructure that bottlenecks them.
Adopting an agile data-driven aaS infrastructure can help your organization break down these barriers and turn data into insight, so your business can uncover once-hidden opportunities and become a market-leading data champion.
* A study commissioned in May 2021, âUnveiling Data Challenges Afflicting Businesses Around The Worldâ, conducted by Forrester Consulting on behalf of Dell Technologies. Base: 4,036 Director + decision makers responsible for data and data strategies in NA, EMEA, APJ, GC or LATAM