How to Simplify Data Management Using Analytics

Simplify Data Management Using Analytics

Your organization gathers data for a number of reasons. Its most basic function is to help you operate efficiently and achieve your goals. Today’s technological advances have provided you with such an abundance of information that it can be difficult to tell where to start.

Simplifying your data management makes it easier for you to use this information. It also reduces your data storage costs, development, and administration. Let’s explore how the right analytic tools can help simplify data management to give you the information you need when you need it.

Understand Data Patterns

The key to simplified data management lies in having a thorough understanding of data patterns that are specific to your organization. Analytics help you identify patterns within your data. Through these patterns, your IT department is able to see which data is highest priority. They can respond and create appropriate internal policies around this data. This provides higher levels of data security, increases efficiency, eliminates data duplication, and improves workflows.

Organize Your Data

Analytics can also help you efficiently organize your data. This results in faster, simplified data access. It also eliminates any conflicting priorities between different applications and users. As a result, you can identify data that is outdated or low priority. By archiving this data, you save on storage costs. System performance and backup times are also greatly improved.

Robust analytics tools tell you which data is most in need of broad access so that you can ensure that it is readily available. This gives your users a seamless data experience. Zero impact, instant access. It does not get much better than that.

Gain Insight into Data Volumes

Data storage is a high cost item for your business. These costs will only become higher as your company grows. So, it is essential that you have a solid understanding of how you are currently using your data. You need to leverage your resources. You need to minimize your data volumes, or at least establish and automate policies that move lower priority data to less costly data archives.

In doing this, you free up your primary storage for what has the most value. The best way to identify the data that can and should be archived is through data analytics. Measuring what is accessed and modified the least, for example.

Data analytics guides your data lifecycle management. Add careful integration of regulatory compliance, and the data you analyze becomes pivotal in informing your decisions. Deletion policies, as well as what the impact of moving data to archived storage, will be an easy determination.

Better Data Management Means Better Efficiency

You know that you need to improve the efficiency of your data management process. The proper data analytics tools allow you to do so.  ShareArchiver offers you easy-to-understand data visuzalization. We help you identify areas where performance can be improved and inefficiencies eliminated. Our goal is to simplify your data and lower your data storage costs.

Our team of experts provides you with the ability to more easily interpret and act upon your internal data management patterns. See for yourself, and get a free trial of ShareArchiver today.

5 Data Analytics Mistakes Gaming Companies Make

Gaming Data Analytics

The gaming industry has been transformed by big data. At some point, your developers likely just sat and observed people playing your games. They interviewed them about how they felt and used this information – essentially nothing but player sentiment – as a guide for modifications and improvements.

Today’s decisions are driven by more specific, calculated metrics. Data analytics and automated databases provide rapid results. With this also comes the opportunity for significant data analytics mistakes. There is no question that having big data is vital to the success of your gaming company, but what happens when it is used incorrectly?

Here are 5 common data analytics mistakes gaming companies make and how to avoid them.

  1. Tracking Every Player Action

Not all data is good data. In fact, too much data analysis can lead to an inability to measure what is truly relevant. Smart gaming companies pinpoint those analytics which are most important and focus on them. Are you doing this?

You also need to place a priority on data that furthers your company goals. By analyzing player behaviors that specifically align with your company goals, you provide yourself with better information. That data can then guide changes in your game mechanics.

  1. Responding to Single Metrics

Data analytics is about seeing the bigger picture. Gaming companies often hurry to respond to a downturn in a single metric. You’ve implemented quick changes in the hopes of improving retention or monetization. That’s expected.

But you also need to consider the impact these types of changes may have in other areas, or even just on other players. It is essential that you give yourself the ability to measure the secondary effects of changes.

  1. Prioritizing Numbers Instead of Player Behaviors

It’s easy to fall into the trap of comparing how your game is doing against competitors. It’s also common to focus heavily on player retention rather than digging deep into the numbers that really matter: the ones that provide path analysis information critical to understanding your player behaviors.

The highest priority metrics are those that let you know what drives retention. Is it the type of device your game is being played on? Is it the game version? You must analyze what your data is telling you and assess whether it is something that you can act on or improve.

  1. Not Using Game-Specific Metrics

Key performance indicators related to conversion and monthly active users do have value. They can also be misleading. This is especially the case if they are used to generalize information. Game developers need metrics that are specific to player behaviors in each of their games. Non-game specific metrics are a wasted analytics effort. The more precise you are, the more valuable your data becomes.

  1. Not Using Built-in Event Tracking

One of the most expensive data analytics mistakes comes from not planning ahead. When event tracking is left out of early development, for example, it leaves developers unable to make the correlations necessary to monetize or respond to valuable insights. This not only creates delays but also adds unnecessary expenses. These metrics will then need to be added long after they could have been most valuable. They will also take more time to set-up and measure.

Your gaming company relies on data to drive improvement and understand player behaviors. You need immediate access to your data no matter where it is stored. Implementing a data management solution that is efficient and improves productivity can help.

The experts at ShareArchiver are ready to help you implement a data storage management system that is tailored to your needs and will grow with your company.

Call us today for more information at (855) 927-2448.

Transform Your Retail Business with Data Analytics

Retail Data Analytics

Data analytics have dramatically changed retail businesses around the world. You have likely witnesses this first-hand. Where your focus was once on bringing customers to your store, your challenge now is to bring your store to your customers. Wherever they are, whenever they want, your retail business must be available. Your ability to do this relies on having plenty of information about these customers. You need to find ways to put your data to good use.

Understanding your customers is at the heart of your retail operation’s success. Data analytics provide the opportunity to dig deeper. They allow you to understand customer behavior and cross-channel purchase decisions. You are now also able to evaluate non-transactional data, including data security, promotional effectiveness, and price elasticity. By looking at all of these factors separately and collectively, you can incite real change and realize improved profitability.

Winning Strategies for Improved Sales

Understanding what drives a customer to make a purchase is the top challenge facing retail businesses like yours today. Part of the difficulty lies in the fact that data is a constantly moving target. Today’s customers are demanding on-the-spot information about your products. In order to win their business, you need to react quickly – both on trends and demands.

Exhibiting focus and agility relative to your data is critical. Your retail business must be able to quickly gather and analyze information about the consumers’ path-to-purchase. You may then use this data to make real-time decisions about merchandising, marketing, and inventory.

One of your most effective tools is an operational system that provides comprehensive reporting functions and built-in analytics. This improved functionality provides you with the ability to extract data early and fast.

The Technology Challenge

As a retailer, you understand the importance of data analytics. It’s very likely that your primary obstacle is feeling constrained by their existing technology. That is completely understandable. Legacy systems often lack the ability to pull data that they need from their system in a comprehensive way.

Your answer lies in incorporating a data management system that integrates seamlessly with your existing operational system. One which provides you with the tools that you lack.

What should you be looking for?

Here are some benefits of a data management system that can dramatically improve your retail business’ data analytics:

  • Timely access to data
  • The ability to collate unstructured data
  • Built-in analytical engine/tools
  • Efficient data processing
  • Mobile data analytics access

The Future of Retail Success

When your retail business effectively uses data to understand customer behavior, you’re able to transform your operations to meet the challenges of today’s digital environment. Only then may you combine your understanding of purchasing decisions with information about pricing effectiveness and cross-channel promotion to increase your profitability.

Using technology that provides the business insights you need is an essential component of this strategy. ShareArchiver is one of the only companies to provide retail businesses with mobile and web browser access, efficient data warehousing, and built-in reporting and data analytics tools. Our goal is to help you make the best use of your data and drive your business to greater success.

Get a free trial today and see for yourself.

How Data Analytics Are Revolutionizing the Construction Industry

Construction Company Data Analysis

Data analytics have been the driver behind some of the biggest transformations in business – from cost reductions to faster, better decision making and the creation of new products and services. In the construction industry, the ability to effectively use data that’s been collected from disparate departments and sources has been revolutionary. It has introduced new efficiencies, reduced risk, and introduced the opportunity for increased profits.

Here are a few ways data analytics are revolutionizing the construction industry today.

Better Use of Existing Information

Your construction company has always relied on the information that you gather. It’s been projected that one third of the cost of every project is made up of wasted materials plus the time it takes to go back and fix mistakes or make changes. Data analytics provides you with the ability to link large quantities of unstructured data and make it immediately available to all of the different parties that need to access it, understand it, and act on it.

Using data analytics, your initial project decisions can involve your designers, engineers and the client. You can work together to share complex documents and financial data. External data such as schedule elements can also be accessed in real time. By combining data analytics with other innovations such as visualization technology and predictive modeling, your entire process is faster, leaner, and more nimble.

Immediate Access to Data

Your construction business relies on information that is gathered and created by many different hands. From the business department to architects, engineers, and project managers, each area has traditionally held its own information and planning in its own data silo. This lack of communication is a constant source of frustration. It has also been responsible for an enormous amount of waste.

All too often, seemingly insignificant changes to data send your project into a costly delay. This means more wasted time and materials. Data analytics and cloud-based storage solves this problem. It allows greater examination and sharing of data so performance can improve.

Project managers can quickly review design changes while accessing applicable information on workforce, equipment, and quality assurance strategies. They are also able to easily add and analyze external data such as weather forecasts and materials costs. This yields tremendous improvements in efficiency without concern for data storage costs.

Driving Company Success

In this digital age, the construction industry relies heavily on data. Failure to understand and share data has traditionally led to cost overruns and delays. Data analytics has changed all of that. It provides you with the tools you need to reduce project delivery times, mitigate risk, and ultimately achieve higher profit margins.

As new innovations for construction are created, the need to manage data will continue to grow. ShareArchiver is able to offer you cutting edge data analytics and storage strategies that help you embrace this shift so you can make the best use of these technologies. Contact us today to learn more.