Connect with us

TECHNOLOGY

The Growing Value of Data

Published

on

The Growing Value of Data


Data has quickly become as valuable as gold to many businesses and organizations, especially with how many products and services have evolved to be more digital than not.

If we think back to merely a decade ago, or perhaps even a little farther, we already had early iterations of smartphones, tablets, and other mobile devices while computers and the Internet had quickly become a staple in our everyday lives.

In the early years of the Internet, and leading up to the days of mobile devices, collecting and analyzing data was a slow process. Information had to be stored somewhere, and companies often outsourced this storage to remote servers for later review. Keep in mind that data was a lot simpler years ago, as much of it wasn’t needed the moment it was collected, but, instead, it was leveraged each quarter when discussing sales, customer behaviors, and new marketing strategies.

But times have changed, and now, in these highly connective, digital days, there is much more diverse data that allows companies of all kinds to offer much more with their products and services, and likewise, leverage that data to better their internal business processes as well.

Higher Connectivity, Convergence, and Data

When I teach companies and individuals about my Anticipatory Organization® Model, we look at a multitude of characteristics both within and outside their industries. Hard Trend future certainties shaping the world in general are always referenced, many of which are disruptive digital technologies and the speed at which they are accelerating.

Convergence is another piece of the Anticipatory puzzle that I reference, which has directly to do with different technologies bringing never-before-connected industries together, creating something new that transforms the world in positive ways. How does this concept of convergence relate to data collection and processing? By way of Edg Computing!

With the ever-expanding use of low-latency 5G, Edge Computing is quickly becoming commonplace in many industries. Simply put, Edge Computing brings the processing of data closer to the collection source, which enhances a company’s ability to leverage that data as quickly as possible.

Edge Computing In Auto Insurance

A notable way in which Edge Computing impacts convergence can be viewed in the insurance industry.

Many auto insurers reward drivers with lower rates, provided they drive safely, but how, exactly, is that measured accurately? In years prior, it had directly to do with how many insurance claims a driver filed after an accident. Well, looking at that from today’s standpoint, that is quite inaccurate! Someone who sped dangerously, but had never filed a claim, was treated exactly the same as a person who drove excessively cautiously.

Now, thanks to speedy data collection via Edge Computing, the insurance industry has been able to converge with technology companies to develop trackers for drivers to have in their cars to offer even better rates to truly safe drivers. These trackers collect data in real-time, monitoring everything from speed to driving frequency, and so much more. 

This convergence essentially carved out a new segment of an industry, creating new opportunities for entrepreneurs to better streamline these trackers, or for individual insurance companies to create proprietary equipment that could be licensed to competitors — an act of positive disruption that sets a specific organization ahead.

Edge Computing and Everything-As-A-Service

Think of how many drivers are on the road right this second in the United States alone. That’s a lot of real-time data, isn’t it? Many might assume that the likes of Allstate or State Farm Insurance could afford to store all this data internally in their own servers or data centers; however, this is not always the case.

Remember, also given the increase in low-latency 5G connectivity, we now have what is referred to as “Everything-as-a-Service,” or EaaS, for short. This means that data storage, or even the very act of Edge Computing, can be outsourced safely and securely to an outside organization to minimize internal overhead costs. Auto insurers using Software-as-a-Service (SaaS) for their real-time data tracking of safe and unsafe drivers can save even more and offer even better rates by lowering their overhead costs this way.

Some notable companies that offer Edge Computing services to many large organizations in expansive industries include Amazon Web Services (AWS), Dell EMC, which offers three notable categories in Edge Computing software, Google and their Edge TPU, and several others.

An Anticipatory Solution To Shipping Woes

Let’s put our opportunity antennas up for just a moment and think in an Anticipatory way about data, Edge Computing, and convergence. What other industries could benefit from quick data collection and processing? Better yet, what specific industry would benefit from turning the tables to offer even better data processing to customers?

Everyone in the world, in either their professional or personal lives, has been impacted by the supply chain issues brought about by COVID-19. Especially in manufacturing, many project managers have had their specific projects delayed due to shipping issues following the pandemic, often left with nothing to say to their customers.

In leveraging Edge Computing, we could not only utilize my Skip It Principle to skip over this current problem, but we could also solve future mega-disruptions in supply chain, shipping, and communicating these challenges to customers by allowing them full transparency with tracking data. For instance, having some type of technology implemented into manufacturing processes could track in real-time where raw materials or supplies are, eventually relieving the need for project managers to constantly have to connect with different suppliers, and instead, have that legwork done for them.

This is a Hard Trend future certainty, as there are already many applications of Edge Computing in manufacturing worked effortlessly into robotics to prevent downtime and help predict when mechanical issues may be imminent.

You and your organization have the chance to benefit from better, faster data collection and processing, but likewise, use anticipation to map exactly how Edge Computing and other data collection technologies may impact other industries. In doing so, you can be the driver of positive disruption by way of convergence, bringing to light a whole new market that never before existed!



Source link

Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

TECHNOLOGY

Daasity builds ELT+ for Commerce on the Snowflake Data Cloud

Published

on

Cloud Computing News

Modular data platform Daasity has launched ELT+ for Commerce, Powered by Snowflake.

It is thought ELT+ for Commerce will benefit customers by enabling consumer brands selling via eCommerce, Amazon, retail, and/or wholesale to implement a full or partial data and analytics stack. 

Dan LeBlanc, Daasity co-founder and CEO, said: “Brands using Daasity and Snowflake can rapidly implement a customisable data stack that benefits from Snowflake’s dynamic workload scaling and Secure Data Sharing features.

“Additionally, customers can leverage Daasity features such as the Test Warehouse, which enables merchants to create a duplicate warehouse in one click and test code in a non-production environment. Our goal is to make brands, particularly those at the enterprise level, truly data-driven organisations.”

Building its solution on Snowflake has allowed Daasity to leverage Snowflake’s single, integrated platform to help joint customers extract, load, transform, analyse, and operationalise their data. With Daasity, brands only need one platform that includes Snowflake to manage their entire data environment.

Scott Schilling, senior director of global partner development at Snowflake, said: “Daasity’s ELT+ for Commerce, Powered by Snowflake, will offer our joint customers a way to build a single source of truth around their data, which is transformative for businesses pursuing innovation.

“As Snowflake continues to make strides in mobilising the world’s data, partners like Daasity give our customers flexibility around how they build data solutions and leverage data across the organisation.” 

Daasity enables omnichannel consumer brands to be data-driven. Built by analysts and engineers, the Daasity platform supports the varied data architecture, analytics, and reporting needs of consumer brands selling via eCommerce, Amazon, retail, and wholesale. Using Daasity, teams across the organisation get a centralised and normalised view of all their data, regardless of the tools in their tech stack and how their future data needs may change. 

ELT stands for Extract, Load, Transform, meaning customers can extract data from various sources, load the data into Snowflake, and transform the data into actions that marketers can pursue. For more information about Daasity, our 60+ integrations, and how the platform drives more profitable growth for 1600+ brands, visit us at Daasity.com.

Tags: ,

Source link

Continue Reading

TECHNOLOGY

4 Activities that Automakers Can Digitize Now

Published

on

4 Activities that Automakers Can Digitize Now

Digital automaking is supported by technology-driven trends, consumer needs and new developments in artificial intelligence.

Manufacturing, procurement of raw materials, marketing and sales are factors involved in this change.

Digital automaking is a process that combines simulation, three-dimensional visualizations, analytics and several tool partnerships to make automotive manufacturing easier. Since the automotive industry has been undergoing a digital transformation primarily driven by intelligent mobility, it has encouraged the market to adopt new technology and software for modern vehicles. There has also been a growing need to increase industrial processes’ sustainability, environmental friendliness and adaptability. All of this has made automotive digitalization extremely important.

Automotive digitization helps to keep precise control over business operations, which is made possible using modern technologies like ML (machine learning) and AI (artificial intelligence) to improve short- and long-term performance. 

Automotive digitization has also increased the capacity to monitor each component of the supply chain while lowering costs and risks. Digital automaking can offer automotive solutions in terms of better design, time efficiency, and many other industry solutions.

4 Activities that Can Be Digitized by Automakers Now

4_Activities_that_Can_Be_Digitized_by_Automakers_Now.png

1. Manufacturing

Customers desire tailored goods, but they don’t want to pay more than they would for items that are mass-produced. As a result, manufacturing must be more adaptable than ever, leading to mass customization. Thus, the design, fabrication, use and maintenance of products are changing as a result of the digitalization of manufacturing. It is also changing the operations, procedures and energy footprint of supply chains and more. Digital manufacturing enables firms to provide additional options that are tailored to individual customers. Businesses can better understand supply-chain challenges, including inventory levels, delivery status and demand cycles, thanks to digital manufacturing. 

The factories of the future will move from automation to autonomy, strengthening real-time communication between equipment, physical systems, and people. These factories are referred to as smart factories. The most notable advantages of a smart factory are its shop floor connectivity, advanced robotics, flexible automation, augmented and virtual reality systems, and efficient energy management. The general manufacturing sector’s global standards are established by the automotive industry.

Over the past two decades, the automotive sector has expanded tremendously. However, the main elements that will affect whether digitalization is successfully implemented are the significance of realizing a return on investment (RoI) and the willingness of employees at both the top-most and lowest levels of an organization.

2. Supply Chain

By removing the functional barriers that divide different areas, the digitization of the supply chain is a cross-functional process that spans the entire lifecycle of a vehicle or product and involves all company divisions. It allows for an ecosystem that connects all stakeholders, from raw material and component suppliers to logistics companies, dealers and customers.

Utilizing digital technology throughout the entire supply chain allows for real-time monitoring of all supply-chain stages, be it either procurement of raw materials or finished products ready to be delivered or purchased. The evaluation and management of each event’s impacts on the supply chain can help the automation of procedures and the avoidance of potential interruption.

3. Design

Design plays a significant role in the automotive industry. By digitizing design activity, design professionals can test multiple hypotheses before proceeding with the design phase. Digitalization in the designing of products has been enabled by a digital model known as Digital Twins, which represents tangible assets in 3D. Digital twins mirror the complete car or one of its components’ appearance and behavior. With great assistance from sophisticated software, businesses can collect information about configuration, sensors, inspection data, and other details to improve the product’s design.

Automobile manufacturers are among the many industrial firms that recognize digital twins’ possibilities and the potential it has to bring in the best in the business of automobiles. The design and production processes are simplified by 3D representations, improving vehicle performance and cutting costs for the manufacturers. The twin technology is quickly rising to the top of the list of software solutions used in contemporary auto manufacturing, with applications ranging from car design to predictive maintenance to boosting sales using digitally generated models.

4. Marketing

Any marketing strategy aims to tailor the right message to the right set of audiences at the right time. A marketing campaign that appeals to a 45-year-old countryside man might not affect a 23-year-old lady residing in an urban area. Therefore, the impact of marketing combined with the effectiveness of Artificial Intelligence (AI) can be the biggest boon to any business. The automotive industry can enormously benefit in how they market their brand/product by adding the power of artificial intelligence to their current data. It can lead to a strong possibility of purchasing your products early in the sales process, possibly before customers even begin looking for their new car, which is indicated by specific online activities. 

As a result of recent advancements in third-party cookies and mobile advertising identifiers, AI can now assist brands in finding new prospects much more quickly by utilizing data to identify customers with similar characteristics and behaviors. This strategy can potentially increase your prospective customer base and give you an advantage over your competitors. You can identify high-priority targets by identifying the demographic categories that overlap. These solutions don’t require cookies and are more likely to comply with escalating privacy requirements because they rely on behaviors rather than personal data.

The automotive sector has modified its strategy and is now embracing digitization. Digital transformation in the automotive industry still has a lot of gaps to be addressed, but the trend toward digitization is a sign that the stakeholders in the automotive sector will be properly supplied with digital solutions in the coming days. With intelligent technology, and operations across the entire company and all departments, including manufacturing, supply chain, marketing, and sales, digital automaking will help the automotive industry to flourish in this digital era. An increasingly digital supply chain will also dismantle established barriers and greatly enhance communication. Undoubtedly, businesses must adopt a more significant digital transformation to be ready in this competitive automotive industry.

Source link

Continue Reading

TECHNOLOGY

The 10 Worst Cybersecurity Strategies You Need To Know

Published

on

The 10 Worst Cybersecurity Strategies You Need To Know

Employees should be trained on basic cybersecurity practices and the dangers of phishing scams.

Granting too many privileges to user accounts can lead to security breaches. Failing to update software on time can leave vulnerabilities open to attacks. 

Organizations should have a disaster recovery plan in place to ensure quick recovery in the event of a cyberattack.

Counting down to the absolutely worst cybersecurity strategies. 

Sadly, these are all prevalent in the industry. Many organizations have failed spectacularly simply because they chose to follow a long-term path that leads to disaster. You know who you are…

Let’s count them down.  

10. Cyber-Insurance

No need for security, just get insurance. Transferring risk is better than mitigating it!

Famous Last Words: Sure, it should be covered

9. Audit Confidence

Conducting a comprehensive security audit. …and ignoring the results

Famous Last Words: We will close those gaps later…

8. Best Tools, Left Unmanaged

Deploying several good tools, set to autopilot. No need to manage or maintain anything 

Famous Last Words: Security is not that difficult…

7. Regulatory Compliance

Meeting the minimum requirements (defined 2 years ago)

Famous Last Words: Relax, we are compliant!

6. One Good Tool

We just need one good tool (ex. AV) and we are set. 

Famous Last Words: That should do it.

5. IT Dependence  

Cybersecurity is a tech problem, it’s IT’s responsibility. 

Famous Last Words: The IT dept has it covered.

4. Security by Marketing  

Believing the snake-oil (deceptive marketing) salesperson that will ‘solve‘ your security problems

Famous Last Words: We are totally protected now! (or similar derivative from the sales brochure)

3. Default Security Settings  

Products and services come with security built in! 

Famous Last Words: It’s new, shiny, and looks secure. Don’t worry, we should be fine!

2. Security by Obscurity

Nobody knows or cares about us. We are too small to be targeted.

Famous Last Words: We haven’t been attacked yet…

1. Hope, as a Strategy

I hope we don’t get attacked. Let’s move on with more important things.

Famous Last Words: <meek inner voice>> Just don’t think about security because it is too scary, expensive, and complex!

 

This is the menu that evokes anger, frustration, and pity among cybersecurity professionals around the globe. Eventually it always ends in despair, blame, and a side of tears.

A solid long-term strategic plan is a necessity for an efficient and capable cybersecurity capability. Cybersecurity fails without a proper strategy. 

Source link

Continue Reading

Trending

en_USEnglish