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Technologies change how we teach and understand. Big information is among the main technological improvements that’s forming the education sector in the 21st Century.
5 Best Big Data Trends Influencing Education for Future 1. Artificial Intelligence (AI)AI is gaining popularity within the schooling industry. Based on projections, its usage will expand by 47.5% in 2023. AI enhances automatized grading and functions as a teaching aid tech.
It helps teachers to spend time on routine jobs. They could use chatbots to reply dull questions regarding deadlines and assignment directions. It saves them a great deal of time. Consequently, teachers can focus on providing useful, personalized opinions.
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2. GamificationGamification fuses game plan into training. It is useful in PC helped language learning and PC based guidelines. The actual idea is widespread. Gamification can help kids in a kindergarten homeroom just as grown-up understudies in post-auxiliary foundations. Normally, substance and gaming components will differ.
3. Huge Data AnalyticsUnderstudies at this point don’t profit with normalized rehearses. There is a need to make the learning interaction more cut out for the requirements of every specific understudy.
It includes planning modified courses and understanding materials. Today this cycle can be driven by large information. It permits instructors to evaluate understudies’ scholarly exhibition, learning targets, and interests. Hence, instructors can consider the focal pointers of understudy commitment in the plan of their courses.
A few understudies battle to arrive at the scholastic norms of their foundations. They need extra consideration and backing most. Fortunately, there are answers for them also. Article composing by DoMyEssay can assist students with improving their evaluations.
Another alternative is to allude to the emotionally supportive network of the school. Instructors will utilize proof based examination to assist such low-performing understudies with singular learning plans.
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4. Extended Reality (XR)The schooling area has made huge interests in XR. This innovation incorporates expanded reality (AR) and computer generated reality (VR). They permit understudies to get a vivid learning experience. AR consolidates the virtual and material universes, changing genuine pictures with virtual components. VR goes further and creates virtual settings that can take an understudy to an alternate reality.
XR permits understudies to connect with the material they learn. This improves the comprehension of complex ideas and information maintenance. With XR, the involved experience turns out to be more moderate and along these lines available.
Students can perform straightforward tasks with the assistance of a cell phone or tablet. It implies that understudies can utilize XR even from home during distance learning.
5. CybersecurityAs per insights, schools are the second most regular objective for ransomware assaults. Instructive elements need security apparatuses to ensure a protected climate. Their understudies and staff ought to be certain that their own information is secured.
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5 Top Data Center Equipment Trends
The world of data center equipment has been turned on its head over the past two years due to issues surrounding the global supply chain.
It no longer is a case of calling up a vendor to order data center equipment and expecting it to arrive a short time later.
Here are some of the top trends in the data center equipment market:
Electrical switch gear and generators that traditionally have had lead times of up to half a year may now take 18 months to arrive, according to one contractor that builds major data centers.
This is due to a global supply chain slow down. As well as lack of materials, such as steel, cement, bolts, and electrical circuitry, there are also shortages in drivers, ships, and components.
All of this adds up to slower construction of new data centers and delays in construction or upgrades to power systems due to the waiting time for gear. Those wanting to expand existing data centers or build new ones must take into account the sluggishness of the supply chain.
Servers used to take days to arrive. These days, they can take several months.
Several companies have reported such lead times for servers, laptops, motherboards, processors, networking hardware, and other components. This is pushing up equipment costs and overall infrastructure project costs while causing major delays.
A survey by GetApp found more than three quarters of respondents have been dealing with significant delays in the supply chain for IT hardware. This included all types of top suppliers.
A big part of the problem is shipping. Most noted that shipping was at the bottom of component and equipment delays with more than half waiting anywhere from four months to 13 months.
In response to worldwide supply chain disruption, organizations are initiating a variety of strategies.
“Supply constraints going back two years triggered many organizations to look for new approaches to IT infrastructure,” said Mario Blandini, VP, iXsystems.
Hyperscale cloud providers, such as Google Cloud, and Facebook as well as major data center construction firms are buying up equipment and supplies for projects they may not need for another year or more.
Other approaches include placing orders for more than is needed to expand inventory, paying more for equipment or faster delivery, cooperative arrangements between multiple companies to place larger orders with better discounts and earn a higher priority for delivery, and finding more local suppliers instead of relying on overseas resources.
On storage equipment, Blandini noted that some are turning to open-source storage as a solution to delays in receiving gear from traditional suppliers.
“We expect more organizations to freely evaluate open-source storage software and have seen those who have deployed open storage expanding their use after proving how well it works in their environments,” Blandini said.
Another shift is a greater emphasis on refurbishment.
According to GetApp surveys, 58% are now refurbishing or upgrading older hardware to make it last longer and compensate for supply chain delays. Cost, too, factors into the equation.
Refurbishment is often done in response to the need to refresh data center equipment. If it is going to take six months to a year for servers, networking gear, and power equipment to arrive, some are delaying full-scale equipment refreshes for yet another year or two.
But to make this work, they have to ensure their aging equipment is really up to the task. That may mean a thorough maintenance check, replacing noisy fans and other faltering components, adding more memory, and upgrading CPUs, if available, to enable the equipment to cope with the pace of modern day applications.
Some have seen the writing on the wall in what can sometimes be a futile attempt to look for equipment and supplies.
This is sometimes causing them to look to outsource data center functions and leave the equipment hassles to bigger suppliers with deeper pockets.
According to Gartner, 40% of newly procured premises-based compute and storage will be consumed as a service by 2025, up from less than 10% in 2023.
“Virtual infrastructure offered as a service enables users to deploy their apps quickly and relies heavily on cloud operations not just storage or on-prem,” said Patrick Aleksanyan, enterprise sales executive, North America, CloudBlue.
“Infrastructure for IT services is no longer just in the data center but through cloud as well.”
Is Big Data As A Service In Your Future?
On the surface, Big Data as a Service seems like a natural evolution. Yet big questions surround its nascent growth.
On-demand services are one of the big technological revolutions of the 21st century, attributable to the Internet revolution that made remote servers as close as the ones in your data center. It started with software as a service, followed by platform and infrastructure as a service, with a few stray ideas like storage as a service. The next big on-demand service may very well be Big Data as a Service.
Big Data as a Service: Ready for Prime Time?Big Data as a Service, as defined in a lengthy research piece in Service Technology Magazine by Varun Sharma, an enterprise solutions architect, is a recommended framework “to enable information availability to consumers via reports, discovery services, etc., through the reuse of data services, promoting best practices in data management using data modeling and metadata services.”
Sharma notes the migration of data stores from mainframes to the present, where the underlying platform for the data is no longer relevant, and we are moving away from application-based enterprises to data-driven enterprises. Big Data takes data from sources that range from internal metrics, sales figures and Twitter feedback, making it both internally- and externally-generated.
Big Data means lots of data to process, and when it gets into the petabytes, it doesn’t make sense to move it around for processing. Should you really pull several petabytes of data into your organization to process it on a Hadoop cluster? Or take all your internal data and send it up to the cloud?
No, said Nick Heudecker, research director for information management at Gartner. “A hybrid deployment makes sense,” he said. “Doing some processing in the cloud makes sense, and doing some on premises makes sense. If you have data coming in from cloud services, you can deploy a collection management infrastructure in the cloud, do analytics on it and move it through on premises services. You don’t want to move everything to the cloud.”
He’s not sold on the concept of BDaaS being a pure cloud play the way SalesForce is a pure cloud play or Softlayer is a pure on-demand platform provider. “Big Data as a Service is nonsense from start to finish. There are too many things to do and integrate in a pure cloud play. You’re talking enterprise data warehousing, Hadoop, RDBMS, event processing, NoSQL, in-memory databases and a variety of other things. If all of that is encompassed in Big Data, how can you realistically get that as a service?” he said.
John Myers, research director for business intelligence at Enterprise Management Associates, said the definition of Big Data is evolving, as is the definition of BDaaS. But he adds that it is built on Platform as a Service. “What we’re seeing is people want to move faster. They want to be more nimble and the PaaS argument makes a lot of sense for them,” he said.
“We’ve done research over the last few years leading with the question ‘How big is your Hadoop?’ Now we ask about how they handle existing data structure. We found people using a wide range of technologies. No one has a platform with all your data online like Salesforce, because it’s almost as difficult to manage Hadoop in the cloud as if you were installing them in your own office,” he said.
BDaaS ideal for faster deployment because people can provision the resources they need, then deprovision them after the work is done and not be saddled with a lot of hardware, Myers notes. “You can go to [Microsoft] Azure and set up a platform based on Hortonworks and literally say give me a 100 node cluster and they build it. Now you have this platform as a service available to you,” he said.
“There’s so much in data to go after and how you store and analyze it. I think people just want to get it all in one place they can control. So they will take external and internal data all in one place where you can get an analytic and query capability quickly. Eventually you will get to a federated model where it doesn’t matter where you store it. That’s the holy grail of the future,” he said.
CSC launched its BDPaaS services at the end of July, using Amazon, CSC Cloud Solutions, RedHat OpenStack and VMware VSphere private clouds to integrate client data centers with major cloud services providers. CSC BDPaaS offers batch analytics, fine-grained and interactive analytics, and real-time streaming analytics. It promises insights from data in less than 30 days, even in the most complex hybrid environments.
Virtual Reality’s Future: 7 Key Trends
But you can’t build software without the hardware, and you can’t go into new fields and reach the masses without affordable hardware. VR and AR now have both. So where will virtual reality go in the future? We asked a few people in the industry and here’s what they say.
1) More senses
Currently, VR and AR are visually-oriented. However, haptic feedback is a potential new use and feature for VR and AR to give you a feeling as well as a sight. Some videogame controllers already have this, where the controller vibrates to simulate action in the game. So when you reach out to something or move it, you get a sensation in a VR glove of touch.
And smell-o-vision could come to VR as well. Frank Azor, general manager of the Dell-subsidiary Alienware, which specializes in high-end gaming rigs, told Time magazine he believes future VR devices could introduce smell and perhaps touch in the form of winds and temperatures.
2) 3D scans of buildings
To give the fully immersive experience, a 3D scan requires a special camera. Erika Dalager, marketing and communications manager for roOomy, which specializes in VR room design, said 3D cameras are coming to make this happen. There’s Matterport, which does 3D scans of homes for both realtors and home design, and Google Tango, due later this year. These new cameras will make VR more realistic and immersive.
3) Faster networks
The trend toward VR technology will have significant impact on how networking and computing services are provided to support the end users. VR apps will require real-time interaction with cloud-based servers, which impacts the need for high bandwidth connectivity, and introduces the requirement for low latency connectivity to support this real-time interaction, according to Scott Sneddon, senior director, SDN and Cloud, at Juniper Networks.
“VR devices could also require peer-to-peer connectivity, which is a traffic pattern that traditional mobile and wireline networks were not designed for. This could have far reaching impacts on how network service providers and cloud service providers architect their services, and creates great opportunities for creative solutions to these challenges,” he said.
“Advancements in mobile VR will be incredibly important this year, as the inability to move around in VR experiences with mobile VR is limiting, although is great for watching 360 content. Intel’s Project Alloy was the first glimpse of positional tracking working on mobile VR,” said Dominguez.
5) Growth in Non-Gaming Content
As organizations offer customers the ability to consume more content and teams embrace the technical requirements to do so, Collision sees availability of VR content will increase as commodity pricing starts to slide. “Producing content is still expensive but I predict costs will start falling by the end of 2023 and the beginning of 2023,” he said.
6) Teaching and Training
Watch out teachers, trainers and managers: Virtual Reality is coming for your jobs. That’s the claim from Andrea Hill, manager of innovation strategy at ReadyTalk, an audio and web conferencing software company, and a proponent of VR.
“It seems ludicrous today, that the same technology that gives caffeine-fueled gamers vertigo could become a legitimate training and development tool, but it will, at such scale and with such richly immersive and personalized experiences that we poor humans won’t know what hit us,” she said.
Coaching and training is subject to supply and demand constraints. A coach can only provide personalized support to so many people live and in-person. Virtual systems can be used by multiple people at once, with each getting that live feedback and course correction. Gone are the limitations of scheduling training sessions or finding the appropriate physical environment in which to conduct training; each can be conjured up at the right time and place.
As an example, she notes Virtual Speech, which helps people become more polished public speakers and Firsthand Technology, which offers better management of chronic pain. Both of these tasks required human interaction in the past.
7) Another perspective
The current challenge with VR content is that it is presented from a single POV. You can move and look in any direction, but you are pinned to the author’s or content creator’s position. When content is authored with motion, the movement is fixed and creates a challenge. You can’t look at the other side of a car, for example, if the camera only shot one side of it.
Or imagine a concert. Your perspective is where the cameraman was placed. It might be too close, or at a bad angle, or someone might be out of sight. But you can’t move.
But what if everyone in the front row collaborates to generate VR content, theorizes Collison. The viewer can move between different seats. Soon massive and many computers will be able to stitch all of that content together to create a seamless experience and 360 views, he predicts.
“VR will fundamentally change the way everyone experiences life and shares those experiences. And this future is coming much faster than anyone expects,” he said.
Future Of Supply Chain Management And What Trends For 2023?
For 2023, we looked to the experts for their ideas about the future of supply chain management trends that we might see in the new year. Between robots, ever-increasing clouds, lack of capacity, security and more, we have gathered a lot of interesting topics to discuss. Here are six SCM software trends for 2023:
1. Future of Robots in supply chain managementFor many years, we have been hearing about the way autonomous mobile robots (AMR) are altering the landscape of this distribution chain. But past huge players such as Amazon, we have not heard much in their widespread adoption. Nevertheless, this may be shifting in 2023. We talked to Steve Banker, VP of ARC Advisory Group, about his ideas.
Among the several future trends in supply chain management he’s seeing is “the development of a class of autonomous mobile robots constructed to maximize the picking procedure… In consequence, this tier of logic is comparable to what type of warehouse management system (WMS) does. WMS providers have new opponents from a field they may not have anticipated: hardware providers.”
Since AMR becomes cheaper and accessible to companies from the mid-market, we are only likely to find this rivalry growth. But while both AMR and WMS will help warehouse supervisors maximize their procedures, they do finally quite different jobs. Banker continues, “While the AMR maximizes the choosing, they do not handle procedures like tracking trucks during loading and put-away. And lots of e-commerce warehouses have parts of the warehouse dedicated to classic pallet and case choosing, which these systems do not manage, but WMS does. So while AMRs could squeeze the WMS market, it will not take the industry away.”
Banker also discussed what he has heard from executives in big WMS businesses. While WMS sellers see the danger, they know the remedy is to operate with robotics. This implies we will see a larger effort by WMS organizations to be certain their systems may utilize AMR systems in 2023. We might also find a higher emphasis on automation generally, for the little section of the marketplace which would need to pick between the 2 products.
2. Logistics in 2023This past year, you could not open up your browser without viewing something associated with”capacity ” And though the extreme need for transport was quite actual, Inbound Logistics’s yearly poll suggests it tapered off in 2023. While 62 percent of respondents stated they experienced a lack of truck ability in 2023, just 43% could state precisely the exact same in 2023. Nevertheless, 86 percent of shippers saw speed hikes last year and 1 in 5 shippers still see discovering capacity as their main obstacle.
So I don’t get this’ meaning for the market in the coming year? Possibly, 2023 could be a significant adjustment year for the trucking business. John Hitch of FleetOwner reports that a downturn is likely, founded on past market designs. He specifies that the Institute of Supply Chain Management announced a PMI of 47.8% — the most reduced it’s been since the most recent month of the Great Recession in 2009.
To exacerbate a contracting market, there is additionally an overabundance of trucks. These are vehicles that were bought to make up for fast development and to give brisk guide to casualties of Hurricanes Harvey, Irma and Maria in 2023. Obviously, this hinders the creation of trucks, which additionally influences the producers that would ordinarily supply the materials.
A feeble trucking market means that shippers are going to have more leverage to dictate costs along with also the payment cycle. Inbound Logistics additionally reports what has been a 30-day interval to generate payment is presently a 45-day period. The company also notes that this is very likely to proceed to 60 days.
This usually means that it is likely to become more important than ever for organizations to keep tabs on the business processes within an agile way that could keep up with changes on the marketplace. Truck manufacturers need to put money into manufacturing program which may help them automate procedures and reduce costs to help compensate for lost business. Shippers and trucking businesses may need more powerful supply chain cooperation systems to browse a shifting landscape that has been stable for the last decade.
One solution to this would be to proceed into the cloud.
Related: – Pros and Cons for Data Analytics in Supply Chain Management
3. The Market for Cloud-Based Products is GrowingCloud frameworks today offer a similar degree of usefulness and security as their on-premise partners, while additionally decreasing the sunk expenses and customization hardships that plague customary programming. Hardly any organizations genuinely need an on-premise framework, thus normally, the market for cloud SCM is required to develop in 2023.
At the point when we addressed Jim Tompkins, Chairman and CEO of Tompkins International, he gave us a couple of explanations behind this development. The most compelling motivation he gave regardless of anything else was that “individuals are over the dread of another person controlling them.” previously, numerous rivals of cloud-based programming were stressed over an outside gathering having any entrance to their product, particularly with unlimited authority over their uptime and security. Be that as it may, as cloud-based frameworks gain prevalence, these merchants have demonstrated themselves to be dependable and reliable colleagues.
As a general rule, organizations ought to think about how a SCM item can be arranged to help their definitive objectives. In light of this, organizations should be somewhat more adaptable with cloud-based frameworks than they may be with ultra-adjustable on-premise arrangements. An on-premise arrangement enables you to modify your product to help your business forms precisely as they stand. Configurability implies your product will bolster your business generally speaking, yet you may wind up changing a few procedures to work better with the innovation. Configurability as a component will pick up footing in the coming a long time as the interruption cycle gets shorter and shorter.
4. Supply InventoryTompkins likewise gave his musings on appropriated stock sooner rather than later. With how most organizations handle dissemination, retailers can offer quick dispatching at significant expenses or moderate transportation at low expenses. Be that as it may, an ever increasing number of clients are needing quick and modest. He notes, “Amazon has ruined the client.” He proceeded to talk about how clients routinely pick three to five-day transporting however when their bundle takes over a day or two to show up, they’re at last disillusioned. So how do retailers meet the desires set by Amazon?
“The best way to do that is to circulate the stock. As the separations get longer, the costs [and] time to conveyance go up.” Tompkins states the arrangement is in lessening the expense of the last mile with more distribution centers. Be that as it may, these supply centers should be cost improved, which can’t occur on the off chance that they are principally utilized as capacity.
Rather, he says that they will need to function as points of stock flow. To do so, he forecasts a tool known as dispersed inventory flow calling (DIFF) will become ever more common. Together with DIFF,”we now can predict the flow of substances to optimize order fill rate when decreasing inventory levels” Tompkins says present software only does not offer strong enough information analytics for many vendors to use distributed stock. However, as DIFF becomes readily available, we will notice an increase in spread inventory and shorter shipping times.
Related: – Importance of Supply Chain Management
5. Stronger Security MeasuresWith such a basic requirement for improved security inside this industry, all things considered, we’ll see fabricating programming sellers fortify and add further safety efforts to their items. This incorporates instruments like client based access levels which give reviews to workers and denies entrance into favored pieces of the framework. There may likewise be an accentuation on sourcing and obtainment apparatuses, which as indicated by Free is the place numerous organizations put themselves in danger.
Further, a 2023 report from the National Counterintelligence and Security Center (NCSC) states cybercrime inside all supply chain programming might be on the ascent sooner rather than later.
As new programming highlights, for example, man-made brainpower and IoT gadgets are acquainted with the supply chain, cybercriminals will have significantly more vulnerabilities to abuse. So as to keep acquainting the new innovation with improve SCM best practices, sellers should fortify safety efforts to keep organizations secured.
6. Artificial Intelligence and the Internet of ThingsThe principal inventory network the board innovation pattern Nahata predicts will develop in 2023 is the Internet of Things (IoT). “The primary drivers behind the development of IoT are the accessibility of modest and dependable sensors, infiltration of web, the enormous addition in information stockpiling and preparing capacities, and the rise of AI. The eventual fate of IoT is anticipated to prompt a 15 percent efficiency increment in the conveyance and store network industry. Numerous coordinations specialists are utilizing these new assets to improve their stockpile systems, lessen expenses and search for chances to produce incomes.”
He likewise predicts an expansion in man-made reasoning to settle the numerous wasteful aspects still present in the present stock chains. “The store network has verifiably been similar to a black box for ventures, with clients not knowing where and what condition their merchandise is in. Producers are losing a ton of time, cash and stock because of unpredicted cargo development. India alone spends about $160 billion on street coordinations, twice [what is gone through by] nations with a proficient transportation framework.” Nahata states numerous organizations are now going to AI to streamline their stock chains, as it effectively decreases time and cash spent while accelerating forms.
He proceeds, “Man-made brainpower can rehash plans of action by patching up the manner by which you see inventory network the board future patterns. Artificial intelligence can break down the examples of the present activities to anticipate the potential results of tomorrow’s situations. This can be utilized to robotize lower-level basic leadership and offset the stockpile with the guage request. Directors would thus be able to enjoy their abilities insignificant level basic leadership and strategizing.”
Related: – What is the Right Data Strategy for IoT and Industry 4.0
To Sum it UpOne year from now will carry both new difficulties and innovations to organizations working in the inventory network. To start with, organizations will have more choices with regards to supply center administration innovation as both WMS arrangements and robotized robots. Be that as it may, this implies the makers of these two items may see some expanded challenge from one another.
Next, the limit crunch could prompt a trucking downturn, constraining organizations to discover more approaches to reduce expenses. One of the manners in which organizations may have the option to spare assets forthright is with cloud-based SCM. The cloud market will keep on developing as more organizations become less dreadful.
Notwithstanding reducing expenses, organizations should discover better approaches to remain aggressive. New innovation will probably get prominent to help actualize dispersed stock, enabling littler organizations to stay aware of Amazon. In conclusion, the requirement for security inside the store network will probably keep on being tended to into 2023 as AI and IoT develop in universality.
So as to stay aware of the coming changes to the store network industry, organizations may profit by embracing a SCM programming arrangement. To get familiar with what a SCM arrangement can do and how to pick the correct one for your business, make a point to look at our SCM Software Buyer’s Guide. By actualizing a solid framework now, you’ll be better outfitted to manage the difficulties seemingly within easy reach.
5 Steps To Manage Risk In A Big Data Environment
By Chael Christopher, Senior Principal, Business Intelligence, NewVantage Partners
Not much of consequence happens without risk. As more organizations realize the value of Hadoop while they look to adopt big data into their technology portfolio, they also need to consider the inherent potential for negative consequences. Big data has opened up a whole new world of risk, but that’s not stopping — or even slowing — many businesses looking to cash in on the rewards. To balance this process, technology and business leaders should know how to manage the conversations around big data risks as well as rewards.
When viewed through the lens of risk, organizations have different classifications and considerations to own:
Data security and administration are the obvious issues that usually get the first look. But there are many technical layers for appreciating the security of your data, including:
perimeter security
data encrypted at rest and in transit
proper configuration for authentication, provisioning, onboarding, offboarding
high availability and failover
bare metal versus cloud
Who is going to manage this environment? Can you find the talent to stand up, lock down and maintain your big data stack? When new big data initiatives are launched, these questions are the first things that IT and your information security team will want to know. Be ready with the answers, and know why these things are important for securing funding and buy-in.
Is there a cost to NOT having the tools in place, like not being able to leverage your data assets? This is a new technology landscape – business analysts have to learn how to hunt for their own data. The onus for coding business rules into viable code has shifted responsibilities from process-heavy IT functions to results-oriented business units. With great power comes great responsibility, but you should trust your people and reward them with your “data first” ethos.
This is one of the biggest latent risks because it indicates that the technologies have evolved but your mindset has not. It can be like using a hammer to drive in a screw. You just spent a lot of money to recreate your data warehouse in Hadoop – and that’s not what it’s for. Understanding the differences between a data lake and a data warehouse will be important, and be ready to preach this on a daily basis.
There are vendor management implications, for sure. Maybe it would just be easier on procurement if a database just released their own big data stack? Unfortunately, that’s not how this works. Organizations need to accept that big data environments are complements to their existing technology stack, and that the new players are approaching data analytics from a different perspective.
Organizations need to understand – if not obsess about — the relationships between their big data environment and the inherent risks associated with having or not having one. Innovation will not arrive without risk, and when thoughtfully managed and understood, your organization will be better prepared to move forward.
The rewards and bounty for succeeding with big data are just now being realized. For some organizations, that means better customer service, retention or acquisition. Profits may improve by creating new, sophisticated product recommendations. For other organizations, fraud identification and prevention techniques are reducing overall costs and isolating additional risk points. All kinds of big data risk/benefit scenarios are emerging, and many companies have concluded that they are ready because they took the time to weigh the risks and convey the “whys” throughout their company. Because if you can’t assess the yield from your big data strategy, you aren’t ready to take that first, risky Big step.
Chael Christopher is senior principal and practice lead, Business Intelligence, for NewVantage Partners, a provider of data management and analytics-driven strategic consulting services to Fortune 1000 firms.
Photo courtesy of Shutterstock.
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