Big Data = Big Bucks

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Data Statistics• Over 2.5 quintillion bytes of data are generated

worldwide daily• 2,500,000,000,000,000,000

• More data was generated in the past two years than in the entire human history before

• In fact, 90% of the total amount of data ever created was produced in the past 2 years alone

• Google sees over 40,000 search queries per second• 1.2 trillion annually

• People share more than 100 terabytes of data on Facebook daily

• In 2019 Twitter users sent over 500,000 tweets every minute

• By 2022 there will be 4.8 billion internet users (3.4 billion in 2017)

• The average person spends 6 hours and 42 minutes per day on the internet

• 1.7 megabytes is created every SECOND by each human• 1.2 billion years is the number of years humanity

collectively spent online in 2019

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• 90% of enterprise’s currently say data and analytics are key to digital initiatives

• The number of firms investing over $500 million annually has grown by 10% from 2018 – 2019

• Roughly $187 billion was spent on data analytics in 2019

• Banking accounted for 13.6% of global big data revenues in 2018

• The global big data market for software and services was valued at slightly over $50 billion in 2018 and over $180 billion in 2019

• $275 billion projected revenues by 2022

• Utilizing their data, Netflix saves $1 billion annually on customer retention

• 70% of businesses believe that data “warehouse optimization” is critical to success

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Data’s Footprint in the World

• It would take an individual 181 million years to download all the data from the internet

• 50 years from now the dead are projected to outnumber the living on Facebook

• In 2019 the global population was 7.697 billion• 5.11 billion were unique mobile users (66%) • 4.437 billion were internet users (58%)• 3.499 billion were active social media users (45%)• 3.429 billion were active mobile social media users (45%)

Data’s Footprint in the World

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• At least 100 terabytes of data is stored by most US companies.

• That is enough to fill ten thousand Libraries of Congress each year

• Over 1 billion global workers are projected to have their behavior altered by algorithms

• The financial industry alone spent $9 billion in data investments in 2018

• By the end of 2020 the customer will manage 85% of relationships with a business with 0 human interaction

• 79% of executive believe that failing to embrace data analytics will lead to bankruptcy

• Proper data utilization by a business can bring up to an 18% increase in revenue

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• 99% of organizations thing data is essential to success

• 95% of businesses state the need to manage data better

• 88% of all data is ignored • Meaning only 12% data is analyzed by a business

• 27% are worried about accuracy of data

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• The amount of data being generated/collected

• Collecting meaningful and real time data

• Data from multiple sources• Inaccessible data• Poor quality data

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• What comes to mind? • Expensive• Time Consuming• Challenges• Roadblocks• Long stressful days• Sleepless nights

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The Challenge

The Frustration is Real!

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• Do Nothing• Rely on internal teams • Outsource through an

analytics provider

Three Traditional Options Generally Used for Migration Needs

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The Same Old Way

• The loss of doing nothing is to great to chance

• Data can boost revenues on overage of over 18%

• Your team is there to grow your business • Pulling them in on arduous migration

task is costing your business in production

• Analytics companies are great at Analytics• That doesn’t make them a migration

expert

Challenges of Traditional Methods

The Cost

“We are what we repeatedly do. Excellence, therefore, is not an act, but a habit.” - Aristotle

The Same Old Way

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• Time is money, and so is data….. Let’s not waste it

• Doing nothing creates a burden on your personal to locate data let alone utilize it

• Leveraging internal teams can save money, although at the cost of potential growth or production, but at what time cost

• Using an outsourced company that is not focused on migrations can slow the process

The Same Old WayChallenges of Traditional Methods

Your Time

“Time is more valuable that money. You can get more money, but you cannot get more time.” – Jim Rohn

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The Same Old WayChallenges of Traditional

Methods

• The risk of losing potential revenue• The risk of data mismanagement • The risk of a breach• The risk of data loss Your Risk

Challenges of Traditional Methods

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A Better WayAn Expert with a Singular Focus

• Worked with over 3000 Financial Institutions• Over 25 years experience • Migrated 100’s of platforms • 100% dedicated and focused on data migrations

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• Lower The Cost – Quicker the Return• Trusting a team specialized allows you to mitigate cost and see a

quicker return from your data• Extreme Time Savings

• No taxing of your team and losing time• Data access within 48 hours of implementation

• Mitigated Risk• Nothing Ever Leaves Your Secure Site• 100% focused on FI security

• The Burden of Migration Work Falls on an Experienced, Sole Focused Team• 25 Plus Years Experience• Over 3000 Financial Institutions have Trusted the NXTsoft team

Bobby ChildsPhone:205-965-4005Email:bchilds@nxtsoft.com