analytics

Business Intelligence Makes for Smart Businesses

Business Intelligence, or BI, is a concept that usually involves the delivery and integration of business information in an organization that can be useful for making decisions. Every organization has multiple departments, and each database may only contain information that is relevant to its own department.  Business Intelligence involves the use of customer information, sales data, statistics, product movement, profitability, etc. Companies use BI to detect significant events and identify and monitor business trends in order to adapt quickly to their changing environment and a scenario. If you use effective business intelligence training in your organization, you can improve the decision making processes at all levels of management and improve your tactical strategic management processes.

Regardless of whether you run an established and successful business, or a new startup, your organization needs the ability to make informed decisions through proper data analysis.

1. Boost productivity. Through traditional data gathering methods, users need to compile and analyze data and write related reports. This can be incredibly time consuming, especially for small businesses that may not have the employees to do it. With a BI program, you can pull data and create the reports at the click of a button thus freeing up time and resources allowing employees to be more productive on their own tasks.

2. To gain sales & market intelligence. A CRM is a useful tool for sales and marketing people. A CRM solution collects data about clients and presents it in a way for you to solution collects the data about your customers and tries to make sense of it. You get insights on new prospects, existing customers, and post sales services. 

3. Results closer to established goals. How many times have you established a set of seemingly reasonable goals for a project or other venture, only to end up with an outcome that is drastically different? With BI you can keep track of information, and have it accessible by parties that need it, when they need it. BI goes a long way in helping achieving what you aim for.

4. Return on Investment BI will help a company decrease operating costs and lower overhead costs. For example, if a company is looking to save on storage costs, they are able to see a visual chart of how much they have saved this year compared to previous years. Companies are able to better dictate if they are on track with their new goals and projections. 

5. Gain insights into consumer behavior. One of the main advantages of investing in BI and skilled personnel is the fact that it will boost your ability to analyze the current consumer buying trends. Once you understand what your consumers are buying, you can use this information to develop products that match the current consumption trends and consequently improve your profitability.

6. To improve visibility.  If you want to improve your control over various important processes in your organization, Business Intelligence will improve the visibility of important processes in your organization and make it possible to identify areas that could use improvement.  

7. Turn information into actionable information. A BI system is an analytical tool that can give you the insight you need to make successful strategic plans for your organization. This is because such a system would be able to identify key trends and patterns in your organization’s data and consequently make it easier for you to make important connections between different areas of your business that may otherwise seem unrelated.

Data must be configured to display trends and statistics. Data visualization makes data legible and allows the user to be able to decipher the meaning of it. Business Intelligence Dashboard displays reports on what the company is doing and it shows a breakdown of how each department is doing. Businesses are able to get a centralized view of where they are saving money, and where they are spending too much. 

There are so many important parts to a business, and even though some parts appear to be silos, every part ties into one another. It is important to understand these subtle connections and look at your organization's data from a centralized view through data analytics. It's understanding the subtle connections that can make the difference between a company that excels to the top of the market, and one that makes poor decisions due to not using its data to the fullest potential. 

 

6 Ways Information Governance Uncovers Valuable Data

Information governance makes a positive contribution to businesses. Businesses can leverage information governance to create new income by using big data mining techniques to acquire valuable corporate data.

The maximum value of big data is realized when the output of computing is efficient at creating new wealth. It is important to find meaningful data among a bulk of information. That way businesses can see the bottom line benefits of making the business case for big data governance.

Ultimately, information governance should be "the rules-based management of digital information that connects to the advancing, the wealth creation, and wealth preservation goals of an organization.” The key is to uncover hidden data through big data mining because this can help efficiently filter data to find what is actually worth taking a look at.

For big data analytics to be successful, information governance rules must be followed closely by every person in an organization. Think of big data analytics as a machine, where the engines are performing calculations on the numbers, but they can only do this with correct input -- the data has to qualify, it has to meet the rules that are useful for the engine to compare to find the patterns, and if the data does not qualify, it is useless.

1. Data must conform to rules

Information must be first validated. Then data needs to be compared with the rules in order to decide whether or not to pass it through to the analytics engines that are being operated.

2. Locate sources of new data

This includes warehouse data, graph data, text data and multimedia data. Event record logs, where every machine and application creates records of how they perform their function, are also an important part of information governance because they allow information governance officers to see what has happened to the data. Records can hold important information such as who used what device to type specific keystrokes, and what authentication sequences were carried out.

3. Establish rules for defining event logs

The information governance process should be seen as a front-end process rather than a back-end one. It is important for information governance experts to be involved in making the rules for governing information and handling data provenance. The systems being used today are designed and engineered without the realization of how to utilize their output -- their performance data and event logs, to create new channels of revenue.

4. Data provenance aligns with the rules you set

Data provenance is the records of the entities, people and processes involved in producing a piece of data. It is important because it allows information to be more easily identified as being what it purports to be. Understanding the data’s provenance makes the data much more valuable.

5. Provenance chains together to improve the value of data for analytics

Data provenance improves the value of information intelligence by eliminating excess validation. The validation exercise requires checking the metadata. It chains together so that the result is the net outbound data coming through systems that have been enhanced with information governance policies.

6. Effective information governance requires engineering the information life cycle

This helps with the business’s efficiency. Information governance should be a part of the engineering life cycle because this will allow for opportunities to discuss each data asset’s revenue opportunity.