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Power Of Predictive Analysis

Predictive analysis is an advanced analytical system which is used to make predictions for future events. A number of data analytical models are used to make such estimates. Techniques such as data mining, machine learning, statistics, data modeling etc. make use of current data to form predictions for future. It helps organizations better understand need of the hour and streamline their operations accordingly. Also, it helps them in improving their bottom line figures.

Predictive analysis is all about understanding the patterns found in historical as well as transactional data and then using it to identify opportunities and risks for future.

Why Is Predictive Analysis Important?

  • Detecting Frauds – Cyber security is a growing concern these days. Techniques of predictive analysis can be used to detect any criminal behavior and fraud. Such an analysis assists in identifying any anomalies and taking an action, well in advance.
  • Improving Operations – Predictive analysis can be used to optimize operations. It not only helps in forecasting inventory but also in managing other resources in a better way. This improves organizational functions and makes them more efficient. For e.g. Airlines can use predictive analytical techniques to set ticket prices.
  • Boosting Marketing Campaigns – Techniques of predictive analysis can be used to determine needs and preferences of the potential customers. This helps in designing marketing strategies which help in attracting as well as retaining more people.
  • Reducing Risks – It can be used by certain industries to appropriately depict and also form inferences from the data available to them. It helps them in forming an interpretation of a person, business entity or situation for effective decision making thus minimizing the risks.

Steps Followed For Conducting A Predictive Analysis

  • Collect & understand the available data
  • Prepare & organize data
  • Choose an appropriate model
  • Evaluate the model
  • Deploy the model and use it in applications
  • Monitor the effectiveness of the model in real time

How Does Predictive Analysis Work?
For carrying on predictive analysis successfully, three main things are required:

  • Data – It is the basis of any analysis. There is no scope of making a prediction in the absence of reliable data from which inferences can be formed.
  • Statistics – It is used to make mathematical calculations and also estimate relationship among different variables.
  • Assumptions – Future is unpredictable, however certain assumptions are made to derive results. Predictive analysis rests on an assumption that future will continue to mimic the past.

Industries That Are Widely Using Predictive Analytical Tools

  • Banking & Finance
  • Healthcare
  • Retail
  • Hotels and travel agencies
  • Manufacturing

Thus, businesses which are able to gather relevant data, use the right model and assumptions can more accurately predict the future trends and streamline their operations in the present accordingly which thus increases their success rate.

For more information, contact Centex Technologies at (972) 375 - 9654.

Ways In Which Businesses Lose Data

Nowadays, businesses are increasingly collecting a large amount of information from their customers to create a database, which is further being used to form valuable inferences. However, accumulation of data, also poses a risk of data loss.

No matter what the size of a company is, data loss can have a serious impact on their credibility. It can be caused due to many reasons but ultimately breaks the company’s coffers at the end as data loss can prove to be costly. So it is important to take a serious note over implementing prevention systems to minimize the risk of information loss.

However, to take steps in preventing the loss of information, it is important to understand the causes of data loss. Here we have listed some common ways in which businesses lose their valuable data:

  • Changing Advanced Settings – Every computer has an “advanced settings” feature for some reason which employees from non-IT background might not know about completely. Sometimes they unknowingly change the advanced settings with an intention to modify & fix their laptop or computer. In an attempt to do so, they often end up booting the device leading to a data loss. So, it is best to consult the IT department in case a technical glitch arises rather than diving into something one doesn’t have knowledge about.
  • Failing To Backup Data – Imagine your business being exposed to a cyber-attack, natural disaster or theft etc., apart from losing other physical resources, the greatest loss is that of the data you had collected over the past. Backing up data minimizes the risk of complete data loss. So it is important to store data at a location from where it can easily be recovered. Also keep a third backup, just in case your backup file becomes corrupted.
  • Hardware Failures – Machines might face technical breakdown. However, in this process, business lose their valuable data, exposing the company to data loss threat. There can be any kind of technical glitch, from a mechanical error in the hard drive, failure of flash memory due to data writing error, power supply malfunction or something as simple as dropping down the device, there can be a myriad of things that can lead to the loss of company’s valuable data. Companies however, can opt for alternatives such as storing their data on cloud.
  • Not Following Security Protocols – Even though employees are being cognized about security measures, they still have a lax attitude towards it. Despite repeated warnings, some employees might click on email attachments sent by unknown senders opening up the doors for cyber criminals. Also, use of easily guessable passwords is a problem.  All this might result in a data loss.
  • Ransomware – Ransomware is the most common way in which hackers steal your private and confidential information. They launch a ransomware attack and encrypt the data which businesses can retrieve only if the ransom is paid. In case it is not paid within the given time frame, then the company loses all its valuable data. Sometimes, businesses are not able to recover the data even after paying for the ransom amount.

You can design a preventive strategy to overcome these problems and lessen the risk of data loss. For more information, contact Centex Technologies at (972) 375 – 9654.

Understanding Botnet Attacks

A number of inter- connected devices coordinated together to perform a certain task are referred to as a botnet. They are generally used for malicious purposes such as stealing data, spamming, launching a ransomware or a distributed denial-of-service attack (DDoS) etc.

Often used with a negative connotation, the word botnet is a combination of two words – Robot and Network i.e. a network of robots used to commit crime.

The cybercriminals who control them are known as bot herders or bot masters. They are widely launching botnet attacks for stealing cryptocurrencies and money from digital wallets, disrupting functions of IoT devices, defrauding advertisers etc. This is indeed worrisome and a serious threat to security systems.

How Do Botnets Work?

  • Bot masters try to bring under their command as many infected devices or bots as possible to make a bigger botnet. This is done to amplify the impact of attack and to create an operational disruption. So the size of botnet matters a lot.
  • They then use bots to completely obstruct a certain website by overloading it. Such an attack is also called DDoS attack.
  • Generally designed to infect millions of devices, bot masters infect botnets into computers through a Trojan horse virus. It is injected into the user’s system when he/she clicks on a website or pop up containing malware or a malicious email attachment.
  • Once the virus is injected into a user’s system, botnets then gain access to their computers, steal the information and commit cybercrimes.
  • They are difficult to detect and most of the times, user might not be able to figure out that their device is under the influence of a botnet.
  • Some botnets can also propagate the infection on their own, thus bringing more devices under control by infecting them.

Structure Of Botnet
There are two main forms of botnet structures.
Client-Server Model: In this structure, one main server controls the transmission of information from each client and is best for taking & maintaining complete control over the botnet. A special software is used to establish the command and control servers in order to send instructions to each client device.
Peer-to-Peer: This P2P model uses an interconnected structure. Unlike client-server model that relies on a centralized C & C server, in a peer-to-peer structure every device functions both as a client as well as server.
Names Of Some Botnets

  • Zeus
  • Windigo
  • Koobface
  • Kovter
  • Flashback
  • Sefnit
  • ASProx
  • Conficker etc.

With the increasing trend of IoT devices, it has become easier to launch a botnet attack. So, it is important to understand the working and implications of a botnet and ways in which a botnet works to prevent falling prey to such an attack.

For more information, contact Centex Technologies at (972) 375 – 9654.

Reasons Why Mobile Apps Fail

There are millions of mobile apps available on the app store. However, there are certain reasons why some apps gain high popularity, become a fad and have over million users whereas some are not able to get even thousand downloads. So, it is important to analyze what makes a mobile app a hit or a failure. Here we have listed certain potential reasons due to which a mobile app generally fails.

  • Poorly Researched Market & Audience

The biggest reason why a mobile app does not qualify to enter the list of most popular/downloaded apps is lack of research. This has two main causes, either failing to specify your target market altogether and marketing your app to wrong set of people or not being able to understand what your target market actually wants. Although, market research is a time taking task but it is definitely worth. It helps you channelize your efforts in the right direction.

  • Lack Of Originality

App stores are already full of similar apps. So why would a user download an app created by you?
They would do so only if it has some feature which other apps don’t have. Your app should have a unique value proposition that differentiates it from others and also optimizes the user experience. Users always welcome new, innovative and useful app ideas.

  • Ignoring Platforms

It is important to develop apps both for android and iOS devices. While doing app developer should keep in mind how a user interacts with different devices.

  • Poor User Experience

If your app faces performance issues, takes longer time to load and has features that are difficult to access then it is definitely something to worry about. People usually uninstall an app that is not able to offer a compelling user experience.

  • Improper Mobile App Testing

The biggest blunder that you can do is to launch your app without testing. It is important to test it so that all the bugs can be removed beforehand, because if you don’t, then you yourself give users a reason to uninstall your app. Hundreds of things can go wrong and the app might just crash. So it is always advisable to test the app before launching it on app stores.

An attractive yet user friendly app goes a long way. So it is a prudent decision to hire a professional app developer who understands the intricate details and possess knowledge as well as skill to develop an optimized mobile app.

To know more about mobile application development, contact Centex Technologies at (972) 375 – 9654.

Welcome to BlogEngine.NET

If you see this post it means that BlogEngine.NET is running and the hard part of creating your own blog is done. There is only a few things left to do.

Write Permissions

To be able to log in, write posts and customize blog, you need to enable write permissions on the App_Data and Custom folders. If your blog is hosted at a hosting provider, you can either log into your account’s admin page or call the support.

If you wish to use a database to store your blog data, we still encourage you to enable this write access for an images you may wish to store for your blog posts.  If you are interested in using Microsoft SQL Server, MySQL, SQL CE, or other databases, please see the BlogEngine docs to get started.


When you`ve got write permissions set, you need to change the username and password. Find the sign-in link located either at the bottom or top of the page depending on your current theme and click it. Now enter "admin" in both the username and password fields and click the button. You will now see an admin menu appear. It has a link to the "Users" admin page. From there you can change password, create new users and set roles and permissions. Passwords are hashed by default so you better configure email in settings for password recovery to work or learn how to do it manually.

Configuration and Profile

Now that you have your blog secured, take a look through the settings and give your new blog a title.  BlogEngine.NET is set up to take full advantage of many semantic formats and technologies such as FOAF, SIOC and APML. It means that the content stored in your BlogEngine.NET installation will be fully portable and auto-discoverable.  Be sure to fill in your author profile to take better advantage of this.

Themes and Plugins

One last thing to consider is customizing the look and behavior of your blog. We have themes and plugins available right out of the box. You can install more right from admin panel under Custom. Also you can check out our high quality themes.

On the web

You can find news, tutorials, documentation, tips and tricks about BlogEngine.NET on the official website. The ongoing development of BlogEngine.NET can be followed at Github.

Good luck and happy writing.

The BlogEngine.NET team

Big Data Terms That One Must Know

Data has a huge potential if the right value is derived from it. Big data is the voluminous repository of data which is used to form inferences. It is a relatively new concept.

It is a wide field and encompasses a number of terms in itself. Here we have listed certain terms which are used in tandem with big data that one must know to gain a detailed insight over this subject of study.

  • Algorithm – It refers to a mathematical formula that is generally used to analyze data. It is usually run by a software.
  • Data Lake – Huge source of information in its raw form is known as Data Lake. This information is used to form inferences.
  • Data Mining – The process of delving into available information to derive meaningful insights is known as data mining. Experts use a variety of statistical techniques, machine learning algorithms, sophisticated software’s meant for data analysis to generate significant conclusions.
  • Distributed File System – It is not possible to store large volume of data on a single system as it is complex, costly and infeasible. So, it is generally stored across various storage devices. This mechanism of storing data on multiple devices is known as distributed file system.
  • ETL – It is an acronym which means extract, transform & load. It is a three step process which is used while ingesting information over big data systems in a structured manner. First of all, raw data is extracted, then it is converted into a meaningful form. Finally, it is loaded onto the system for use.
  • Hadoop – It is a programming framework. Hadoop enables storage and processing of huge chunks of data.
  • Data Scientist – They are people who are experts in analyzing data and are well versed with science, statistics, mathematics and other data analysis techniques.
  • Data Cleansing - There might be certain sets of information which are incorrect. Data cleaning is the process of removing incorrect or irrelevant information from the database. This is done to maintain the quality of data as it is further used for analysis.
  • Dark Data – This is that kind of data which is there in the company’s data repository but has never been put to use.
  • NoSQL- It is a database system which means ‘Not Only SQL’. It is designed to handle large volumes of unstructured data without any schema.
  • IoT – Internet of Things is the growing trend these days. Since so many devices are connected to the network, large amount of data is collected through them which can be used for further analysis.

    To know more about big data, contact Centex Technologies at (972) 375 - 9654.