What Happens to Deleted Data?

Trash. Something we are all familiar with. It gets picked up weekly, and then it disappears from our lives and we never see it again.

But this is not the case for files on a computer storage drive.

You move a file to the trash, or recycle bin, and it is simply moved into another storage file.

So, you say, “Okay, well I can delete my trash.” Your computer notifies you that you are about to make a permanent change, right?

Wrong. The files are not EASILY accessible. But the keyword here is, “Easily.”

How is this possible?

All of the data that composes your photos, documents etc. is scattered all over the place. The Master File Table simply provides your computer with a reference to the data. So when you recycle or trash something, you are only removing the Master File Table Reference to the pieces of data that make up the entire file.

It creates space by giving the operating system permission to write over the old data. Yet this hardly means that (especially right after you clean out your recycle bin) that the file is really gone.

Furthermore, there are many programs specially created to reconstruct old files. But we asked for this…otherwise we would have many, many accidents, resulting in lost files and documents…whew!

But, if it’s important that you permanently delete something, say if you will be selling or donating it, here’s what you can do:

1. delete all data from the drive

2. fill it up to capacity with random, new data

3. Repeat

4. Repeat over and over again and again

Or:

1. Physically destroy the drive

Watch these funny guys explain it on video:

Want to know more about how to keep your existing data safe? 

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Big Data and Chip Kelly

Tuesday evening, the Philadelphia Eagles released Chip Kelly; shocking everyone. The CEO and Chairman of the Eagles, Jeffrey Lurie has had an abundance of patience with past coaches. So everyone has been wondering why Chip Kelly?

You may be wondering…”What does Big Data have to do with any of this?”

Big Data has to do with the answer to the first question, “Why Chip Kelly?” Because now, everyone knows. Not just Eagles fans. Not just those that watched the news this morning while cooking breakfast. It’s all over Twitter, and Google and news sites. This is all Big Data being shared through the internet of things, connecting information to people.

Furthermore, to answer why, we were able to quickly gather data and information from earlier in the season to help us.

So in case you haven’t heard, there are two main reasons why Chip Kelly was released:

1. He lost support from the team
2. He did not want to give up his power

A report from earlier in the season indicated that Kelly was in danger of losing the locker room. At the time, many dismissed this, but now we know that it has been a recurring issue. It got to the point where the team explicitly told the owner their confidence in their coach was dwindling.

Kelly gained control over the personnel department earlier in the year. But when he started making poor personnel decisions, and Lurie wanted to pull him out of it, Kelly wouldn’t have it.

Big Data Puts Bacon on the Table

This post is in honor of Bacon Day! 

While data is related to food, like bacon, this is not particularly what interests us. Big Data puts bacon on the table because of its ties to money; saving money and wealth creation.

Yes, Data Scientists earn a pretty penny, but it goes far beyond this. Big Data processing and Big Data analytics are helping us to globalize our businesses and our economy. Those that utilize data analytics in their companies have a competitive advantage. 

It helps companies discover inefficiencies they never even knew existed. More importantly, it provides the insight necessary to find solutions to those problems. It saves companies money. It also makes companies more money, by expanding their customer base.

It is building a better tomorrow, by better educating our children. Using data analytics, teachers can better identify what challenges students are facing, and ways to overcome those challenges. Higher education programs are also building programs to teach data sciences and data analysis to students to expand our Big Data Processing capabilities.

Big Data is creating wealth around the world; and bringing more bacon to our tables.

3 Ways To Get The Most Out Of Your Data

As the new year approaches we all begin to dream about what the future holds for us. Everyone begins to make New Years Resolutions and promise they will change for the better.

Will this be the year my business really takes off?

How can I change my business to be more lucrative this next year?

One of the best ways to make changes in your company and ensure you stick to them is to implement a more efficient plan. Big Data Analytics is an excellent way to be more efficient- and the more efficient you are the more money you save.

Businesses must know how to use and manage their data in order to benefit from it. Here are three tips on how to utilize Big Data in your business to ensure the biggest ROI. 

Hire the Right People

In order to understand Big Data it must be analyzed. This takes a certain type of person with strong mathematical and analytical skills. Data Scientists must be able to understand the different coding languages and crunch numbers quickly. This is a job that is not for everyone, but is a profession that is growing in popularity due to a high demand for analysts.

Use What You Have

If you already have an IT team be sure to utilize them, chance are they already have the basic knowledge needed for Big Data Analysis. By training the resources you already have you save your business time and money that would otherwise be spent on the hiring process. Having a strong team of data scientists is what sets successful companies apart from many others.

Don’t Be Afraid to Ask for Help

A lot of companies that use Big Data are not Big Data experts by any means. Depending on the company sometimes it is cheaper and more efficient to outsource your Big Data needs. There are an array of companies that specialize in Big Data contract work for other companies and can be a great asset when it comes to understanding your data. 

The best way to make sure you get the most out of your Data is to look at your company and decide how and where Big Data can be most useful to you. Every company is different and therefore will use Big Data in different ways, but if you follow at least one of these tips you are heading in the right direction for improving your company this next year!

The Film Spectator January 26 1929 Headlines

Jack Warner was among the first major Hollywood film producers, to champion sound on film, aka “the talkies.” Certain they were the future for film, he produced 1928’s “Tenderloin.” This was the first feature, where the characters, spoke their own dialogue. Although, only 15 of the 88 minutes were talking, the public was dazzled.   Jack Warner’s July 1928, all talking “Lights of New York” cost $23,000 to produce. It showed a 5,000 %, 1.2 million dollar profit.  Warner believed “talkies” were a license to print money. These January 26, 1929, The Film Spectator headlines have Jack Warner banning The Spectator.   For the previous 15 years, The Silent  Film Industry, had been The Film Spectator’s cash cow. “Talkies”  became a threat to silent film’s survival.  The Film Spectator, had offered headlines about, the public “not wanting to hear voices.” This was spirited by,  the soon to be bankrupt silent film sector. Jack Warner was  producing, “On With The Show,” an all talking, color feature film. Warner’s ban on The Spectator Headlines, demonstrates a powerful film producer, at war with a fading rival.   Framed on your wall, these headlines will serve as vintage eye candy.  A memorial, to the […]

How Can You Make Better Decisions For Your Company?

You CAN run your business more effectively than you do now. We can promise that. The question is:

How? Your Data.

How much time are you spending collecting and managing all the data that you collect, from all of your sources?

Like most companies, you may not being doing this. If you’re not, you’re missing out on gathering a lot of information that could help you learn how to optimize your operations.

Then Why Aren’t Most Companies Doing This?

It is hard. The different data sources don’t talk to each other…and not just anyone knows how to make them talk to each other.

But you can’t make sense of all the data, if you can’t compare your data.

So What Can You Do to Change This?

Contact a data analytics firm. But be careful about who you pick. Many will require you to adopt new software; which in the end, just adds to the chaos and clutter of your data. Make sure to find a company: that you can trust to not manipulate your data, that won’t invade your data or networks, and that effectively presents actionable advice, that is retrieved from your data.

Cliintel helps you explain your data. We can provide data consulting, to help you optimize the tools you already have. But we go above and beyond this. Many data analytics companies can tell you that you’re not optimizing your data; but are they telling you this to get you to buy their tool? Are they gathering your data from disparate sources, presenting it to you and disappearing, leaving you with unanswered questions? Is your data analytics firm actually analyzing the data? Cliintel won’t just tell you what you’re doing wrong, they will provide you with advice and insight on what you can do right.

The Best Of Big Data In 2015

With 2015 coming to a close, it is appropriate to look at the highlights of Big Data from the past year.

Here is a glimpse of the great things that came out of Big Data this year.

2015 recorded the greatest number of cell phone users over computers or laptops, meaning that Big Data has gone mobile. We have made the switch from laptops to using our smartphones for any internet related activity we may need. By making this switch we have completely changed the way that companies retrieve data from their users.

In March of this year IBM decided to invest $3 Billion on the advancement of the Internet of Things. This is a huge leap for this sector and will lead to the emergence of a more connected life where our every day technologies are in constant communication with one another. A perfect example of this is the Apple Watch that made its debut in the Spring of this year.

Now that Big Data has made it clear it isn’t just a fad, people have begun to worry about privacy issues. As a result of the public’s concern, big steps have been taken to ensure safety. Safe Harbor was an agreement concerning Big Data that crossed international borders. The European court of justice determined this agreement invalid, protecting European citizen privacy.

The UK has also taken steps to ensure that insurance companies are not using data to set automated premiums. The Financial Conduct Authority has begun their investigation into the use of Big Data in insurance companies to prevent insurance companies from using discriminatory practices.

This is just a few highlights of Big Data’s journey through 2015. We have seen the emergence of new and exciting technology as well as an active approach to maintaining privacy laws to protect the public. Hopefully throughout 2016 we can expect to see more advanced technology as well as clearly defined regulations surrounding Big Data usage.

Marijuana And Big Data – How Do Cannabis Consumers Trend?

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How do consumers use Marijuana? And can Big Data be valuable to the dispensary owner in the Cannabis industry?

What To Expect Out Of Big Data In 2016

As a child I can remember watching the futuristic life of The Jetson’s on Saturday morning cartoons and thinking “wow that must be a long time from now!” But this is not necessarily the case. With the immersion of Big data and its widespread application, we are beginning to see “The Future” much more quickly than we expected.

Now that Big Data Analytics has been around long enough to no longer think of it as a magical, all knowing, wonder tool, companies are now used to Big Data and understand how to manage it. Big Data has become a mainstream, ordinary process in the work place. With Big Data being more manageable and easy to understand, it is now being applied to many different new and exciting projects. Big Data is being utilized in Artificial Intelligence, Natural Language Processing, and Machine Learning.

Artificial Intelligence is being developed in forms anywhere from robotics to the Internet of Things. Big Data is being heavily utilized in Natural Language Processing to enhance applications such as Apple’s Siri. Natural Language Processing is something we can expect to see a lot of a The Internet of Things continues to make a bigger presence. Machine Learning will make its mark as algorithms continue to be developed to ensure efficiency and minimal human intervention. Between these three sectors we are looking at the world of The Jetson’s being very near.

Big Data Revolution – And Big Data Business Coming To You

Are you in the Big Data business? You are whether you like it or not!