Plainly speaking, it cannot be a piece of cake. Accessing hard copies from a variety of remote places can break your back. Moreover, business intelligence is a time constraint activity. Changing trends often interferes with the decisions. What strategy is valid today may obsolete tomorrow. Thereby, your strategies may require amendments as per scope of various trends.
So! What is there to say about the trends?
Certainly, they are data. Drawing strategic, purposeful and dramatic actions for your business can not be painful, if you incorporate with the latest technology. It’s automation that is proving groundbreaking in almost all domains. Why is it hot favourite-let’s come across its benefits to know:
Benefits of data automation:
- Errors and their associated costs, including preventing, correcting and allowing errors, decline dramatically.
- Deriving intelligence turns on a faster track.
- Automated data entry and extraction often save money and time, as in filing for tax return online.
- Employees’ satisfaction appreciates, as they bear lesser stress and time to extract viable strategies from the useful insight.
- The utility of the Internet of Things (IoT) devices is up surging, leading to a massive data collection for tapping on customer behaviour and business trends.
But, the main concern is how to grapple with storage, utility and accessibility of data to stakeholders. These challenges can be sailed across through these latest technologies, which lead to sensing breakthroughs.
How can you automate data entry for business decisions?
Let’s understand how technologies assist in producing intelligence or strategies for the business:
Data Warehousing: It’s the best data mining practice to filter meaningful patterns or models. Bill Inmon has described the data warehouse as a subject-oriented, integrated, time-variant and non-volatile collection of data to support the decision making process.
The digital warehouse is where the whole data live. It centralizes the pan data from multiple siloes. To name a few big players, Google BigQuery, Microsoft Azure and Amazon Redshift are the most sought-after data storages.
These warehouses are prominently making their places in various data mining companies. The migration of data is consistently taking a giant leap through, for example- Google BigQuery Data Transfer Services (DTS). This practice is healing the pain of data migration from SaaS applications to its cloud warehouse. However, the data loss poses a big threat during this shifting process. Therefore, the replica technique is evolved. The ace tech players, such as Fivetran, have launched applications to replicate databases, files and events within a few seconds. Their automated schema designs your data in such a layout where you explore high-performance data let’s say customers behaviour and sales journey in a few clicks.
Data Analysis and Visualization: The significant business decisions cannot sift through warehouses by self. Many roadblocks, such as incomprehensive data structure and scattered sources, appear to confront with. You can hire software and applications, such as zoho or tableau, to collate and automate styling of your data in a customized format. These tools are largely capable of providing with industry-specific visualization.
Data Quality: Former CEO of HP-Carly Fiorina once said, “The goal is to turn data into information, and information into insight.” But, the errors can interrupt the meaningful insight to come out. Evaluation, monitoring and data management yield accurate decisions, if the decision funnel gets the real-time relevant data.
So, you need to employ actionable data cleansing techniques or tools to automate data entry and thereby, decision making. You need to follow the idea of ‘garbage in, garbage out’ to stop incorrect and poor-quality inputs for being produced faulty output.
These contributors effectively feed the latest machine learning and artificial intelligence devices. As a result, what you get is the most effective and efficient business decisions.