Julius Caesar’s assassination is one of the biggest chronicles of betrayal and vengeance. Had Caesar been not so power-hungry and entirely focused on making Rome's decaying political order one of the greatest empires, he could have sensed the hostility and treachery rising in his own comradery. But, the real reason for Caesar’s downfall was not his thirst of domination but ignorance. He hastened his death by being ignorant of the evident signs that directly suggested a conspiracy.
While Shakespeare’s Julius Caesar was based on an ancient Roman setting, its lessons still hold a lot of relevance. Particularly in business.
Businesses dealing with a lot of data have to rely on data preparation methods for maintaining data quality; even the slightest of ignorance or incompetence can bring the entire organization down to its knees.
To save your business die a dreadful Julius Caesar’s death, one must pay heed to these data preparation lessons.
Lesson 1: Don’t Dishonor Quality – While preparing data for analysis or use, data quality is a huge concern. Presence of errors, duplicities, missing values, and more in data directly impacts the resultant insights and analytics.
However, many companies tend to ignore data quality issues rather handling much like Julius Caesar ignored soothsayer’s warning: “Beware of the Ides of March”.
Enterprises must carry out data quality functions such as validation, deduplication and enrichment to sustain the quality of incoming data. Distilling data enhances its quality, hence better insights can be extracted. Which, in turn, help in making better business decisions, ultimately driving the business forward.
Lesson 2: Don’t Battle Solo - A data scientist has a high prowess for analytics, designing programs, and data modeling indeed. But, data preparation is not an individual task. Companies must hire a team of data janitors to prepare data for analysis or storage.
Truth is, a team can profile, visualize, detect outliers, and find null values and other junk data in the data set better than an individual.
Lesson 3: Don’t fall short - Though Caesar considered the battleground and political circumstances to be ever-changing, he never realized his inner circle could develop different ambitions and inhibitions over time that could lead to his dreadful death. His lack of conscience to acknowledge the change happening in his surroundings brought Rome the misery.
In a similar manner, a business ecosystem can also go to rack and ruin if it doesn’t embrace the change and act accordingly. In other words, resting on the old data preparation technologies is not a good idea.
Organizations that are willing to grow and capture larger market share need to use automated data preparation methods powered by AI because these methods enable efficient and high-quality preparation. With automation introduced in data preparation, organizations can not only identify data quality issues effectively but also enrich data lineage and ensure data security. Recent research has shown that automation will easily replace spreadsheets and handle larger volumes of data without posing any threat or discrepancy.
Data preparation is anything but plain sailing. Without a quality-driven data, strong team, and the right technology, performing data preparation is like building castles in the air. Therefore, relying on luck or wobbly fixes can no longer serve the purpose. All you need is to pay attention to the data preparation lessons to completely eradicate the occurrence and pave the path forward.
Read our blogpost “Unraveling Process, Benefits, and Tools of Data Preparation” to learn more.