Search here

Can't find what you are looking for?

Feel free to get in touch with us for more information about our products and services.

FIVE Essential Questions for Assessing your Big Data Deployment Readiness

Big Data isn’t just a big buzzword. Nor is it merely a business ritual. Ask yourself these 5 essential questions to know if you business is ready for data-driven transformation in the Big Data era.

readiness to embrace data

When it comes to making an effective deployment of data, what matters the most is having a well-rounded data deployment policy in place. A policy formulated taking all of the important elements or aspects of data life cycle management provides a guideline to establish a right mechanism, to take a right approach, and to come up with the right data for the right solutions.

Most importantly, data deployment is not a ‘stand alone’ process. Instead, it is a part and parcel of the efficient data management and productivity optimization policies.

Because every business enterprise has a unique set of approaches, goals, and priorities in terms of data deployment, there is no silver-bullet solution that applies to all business enterprises equally.

However, a standard enterprise data management commonly involves the process of defining the data requirementsextracting the required dataintegrating the data into the BI systems for analysis and securely storing the data for the future references. Hence, the questions regarding Big Data deployment readiness revolve around these issues. 

Here we’ve rounded up five of the key questions you would be better off asking yourself.

1. What specific business objectives do you envision to achieve with your data?

data objectives

Considering the fact that different enterprises have different purposes of using data, to have a very precise and clear view about the business objectives is the most important part of your big data strategy.

Data yields no result unless it is applied to achieve the clearly specified business objectives taking the specific business contexts into account. For doing this, you have to be fully cognizant about the whatswhys, and hows—i.e. what your requirements and expectations are and how you are going to mobilize your resources to meet them—of data deployment.

2. Do you have the required data aggregation and integration skillsets and infrastructure?

data infrastructure

Data aggregation and deployment involves a complex process of data extraction (collecting, cleansing, converting, formatting, validating), data integration (loading, linking, combining, applying), and data warehousing (classifying, archiving, storing, retrieving) which require a complex set of tools, infrastructure, and skilled workforce.

What if you are not able to invest thousands of extra dollars on setting up an advanced infrastructure and hiring data scientists you need? Certainly, not all businesses can afford doing so. Besides, having to process too much of unstructured data can even cause data overload and choke your system off. Even if you do not have the required skills or facilities for doing the job, you can still get the advantage by patterning with the data warehousing and BI platforms. Grepsr—a low-cost, cloud-based flexible service—for example, can be a good choice for your data aggregation needs.

Data to make or break your business
Get high-priority web data for your business, when you want it.

3. Is your data fresh, relevant, consistent and accurate?

fresh, relevant, accurate data

Freshness, relevancy, consistency and accuracy are the crucial benchmarks of high quality and actionable data. An old and irrelevant data can offer only a little (or no) business insights and can even cause more harm if applied in the inappropriate contexts.

By implementing the process of frequent updating, standardization, and validation, you can avoid the garbage in garbage out situation. Moreover, bugs in the data entry and processing systems or applications can cause inconsistency and inaccuracy in the data output. It is, therefore, imperative that you use the right tools to measure and maintain the quality of your data. By applying regression testing and frequent diagnostics, you can ensure that you won’t get faulty data or experience system crash in the future. Check out the best data enrichment tools available on the web here.

4. Is your decision-making process guided by the current Big Data best practices?

best data practices

The whole purpose of using data is facilitating the decision makers take right decisions by providing them with the hard data and factual information. Cutting-edge technologies developed in the areas of data accumulation and integration have made the process of decision making a lot easier.

To ensure that you are not missing any of the key elements of Big Data best practices, you need to:

  1. Familiarize your staff with the basics of Big Data.
  2. Reorient your organization for moving towards data-driven mode.
  3. Create positions responsible for conducting data-related tasks.
  4. Apply the advanced data mining, migration, analytics, BI, visualization tools, cloud technology and other technologies that improve leanness and scalability.*
  5. Communicate about the findings in your organization’s decision making process.
  6. Implement the findings with a focus on performance optimization and service customization.
  7. Review the entire process for the necessary changes, corrections, or upgrades.
    * Depending on the tools and skill-sets you have, you might also require an expert’s help in conducting some of these processes.

5. Do you work with a complete metadata management policy?

metadata management policy

Because a good metadata management policy takes not only the state of the data but also the entire range of data management approaches and mechanisms into account, it helps businesses develop a comprehensive understanding about and maintain the detailed catalogs of data lifecycle management.

With this road-map at hand, businesses can have clear plans and prior readiness for the important issues like:

  1. Where to get the data from
  2. How to maintain a better data quality environment
  3. What tools or procedures to adopt for optimizing agility and productivity
  4. How to mitigate the risks of data being leaked, stolen or damaged
  5. How to encrypt, archive and store the data securely, and how to make it accessible and retrievable when needed

Your Readiness Counts

For many businesses today, adopting the right data management policies is a huge challenge. Big data offers them a make-or-break challenge as well as an opportunity. While the correct data deployment initiative adds to an improved competitive edge, a few of the missteps in it can lead to a huge catastrophe.

Likewise, a few of the good policies can save data from being junk records, and turn it into a goldmine of information, giving your organization a greater competitive advantage over your competitors.

So, are you fully prepared to embrace data-driven transformation for your journey into the Big Data era?

Web data made accessible. At scale.
Tell us what you need. Let us ease your data sourcing pains!

Related read:


A collection of articles, announcements and updates from Grepsr

real estate prospecting

Zero-in on Your Real Estate Prospects with Data

Big Data technologies make real estate prospecting more credible and effective by giving you access to real-time web data. You can use web scraping to gather actionable web data and analyze the real estate market environment on a city block level.

service better than tools

Why Data Extraction Services are Better Than Tools for Enterprises

The key factors that set a data extraction service apart from its do-it-yourself variant

grepsr partners with datarade

Press Release: Grepsr joins Data Commerce Cloud (DCC) to meet global need for actionable, on-demand DaaS solutions

Dubai, UAE / Berlin, Germany. 1 December 2022 – Grepsr, provider of custom web-scraped data, has become a Premium Partner of Datarade’s Data Commerce Cloud™, the platform which makes data commerce easy. Grepsr’s data products are now available to buy on Datarade Marketplace and other DCC sales channels. Grepsr processes 500M+ records, parses 10K+ web sources, and extracts data […]

data in travel & tourism

Significance of Big Data in the Tourism Industry

In a post-pandemic reality, big data helps travel agents and travelers make better decisions, minimize risks, and still have memorable holidays.

web scraping

A Smarter MO for Data-Driven Businesses

Data is key to future-proofing your brand. Web scraping is the first step towards achieving long-term data-driven business success.

data analysis

Business Data Analytics — Why Enterprises Need It

Objectivity vs subjectivity The stories we hear as children have a way of mirroring the realities of everyday existence, unlike many things we experience as adults. An old folk tale from India is one of those stories. It goes something like this: A group of blind men goes to an elephant to find out its […]

data quality

Perfecting the 1:10:100 Rule in Data Quality

Never let bad data hurt your brand reputation again — get Grepsr’s expertise to ensure the highest data quality

data visualization

Data Visualization Is Critical to Your Business — Here Are 5 Reasons Why

Data visualization is a powerful tool. When done correctly, it is a much more elegant method of explaining even complex concepts compared to lengthy texts and paragraphs. Maps and graphs have existed since the 17th century as a means of visualizing data. It was in the mid-1800s that the world saw one the first examples […]

data normalization

What is Data Normalization & Why Enterprises Need it

In the current era of big data, every successful business collects and analyzes vast amounts of data on a daily basis. All of their major decisions are based on the insights gathered from this analysis, for which quality data is the foundation. One of the most important characteristics of quality data is its consistency, which […]

legality of web scraping

Legality of Web Scraping — An Overview

Ever since the invention of the world wide web, web scraping has been one of its most integral facets. It is how search engines are able to gather and display hundreds of thousands of results instantaneously, and how companies build databases, develop marketing strategies, generate leads and so on. While its potentials are immense, there […]

data from alternate sources

Data Scraping from Alternate Sources — PDF, XML & JSON

An unconventional format — PDF, XML or JSON — is just as important a data source as a web page.

QA protocols at Grepsr

QA at Grepsr — How We Ensure Highest Quality Data

Ever since our founding, Grepsr has strived to become the go-to solution for the highest quality service in the data extraction business. In addition to the highly responsive and easy-to-communicate customer service, we pride ourselves in being able to offer the most reliable and quality data, at scale and on time, every single time. QA […]

benefits of high quality data

Benefits of High Quality Data to Any Data-Driven Business

From increased revenue to better customer relations, high quality data is key to your organization’s growth.

quality data

Five Primary Characteristics of High Quality Data

Big data is at the foundation of all the megatrends that are happening today. Chris Lynch, American writer More businesses worldwide in recent years are charting their course based on what data is telling them. With such reliance, it is imperative that the data you’re working with is of the highest quality. Grepsr provides data […]

11 Most Common Myths About Data Scraping Debunked

Data scraping is the technological process of extracting available web data in a structured format. More businesses globally are realizing the usefulness and potential of big data, and migrating towards data-driven decision-making. As a result, there’s been a huge rise in demand in recent years for tools and services offering data for businesses via Data […]

amazon scraping challenges

Common Challenges During Amazon Data Collection

Over the last twenty years, Amazon has established itself as the world’s largest ecommerce platform having started out as a humble online bookstore. With its presence and influence increasing in more countries, there’s huge demands for its inventory data from various industry verticals. Almost all of the time, this data is acquired via web scraping […]

Our Newly Redesigned Website is Live!

We’ve redesigned our website to make it easier for you to find what you’re looking for

Preview the New Look Grepsr App

Everybody’s favorite big data tool is getting a fresh coat of paint (and some behind-the-scenes tweaks)

data mining during covid

Role of Data Mining During the COVID-19 Outbreak

How web scraping and data mining can help predict, track and contain current and future disease outbreaks

Grepsr’s 2019 — A Year (and Decade) in Review

Time flies when you’re having fun

Introducing Grepsr’s New Slack-like Support

Making our data acquisition specialists more accessible to busy professionals

APIfy the Web with Grepsr Realtime

Convert any website into easy-to-use APIs

Grepsr’s 2018 — A Year in Review

As we say hello to 2019, everyone here at Grepsr firstly wishes our readers and valued customers a very Happy New Year! We look forward to your continued love and support in the new year and beyond. Here’s a look back at some of Grepsr’s highlights in 2018. New Product In addition to our existing […]

Grepsr — the Numbers That Matter

Our stats since the start of 2018

Welcome To The (New) Grepsr Blog

Hello, Grepsr friends and family, and welcome to the next chapter of Grepsr Blog! It may not look much different yet, but we’re ramping up our editorial operation. Over the next few months you’ll see more posts, more announcements and analysis, more writing, and even new forms of content here. We’re still hammering out all the […]

Introducing the All New Grepsr

Chrome Extension, APIs, Better Support & Much More

Importance of Web Scraping in the Age of Big Data

Big Data has become an internet buzz lately. Not a day goes by without a mention of Big Data in many articles published by media or tech companies around the world.

Data Extraction for BI: Picking the Right Services is Crucial

Finding the appropriate data warehousing and Business Intelligence (BI) platforms that can understand and address your business concerns, priorities, and needs is a daunting task. Specifically, the ones that can have cohesive approaches in generating and deploying your data.

Seven Areas Where Big Data has Brought Big Transformations

As the volume, variety, and velocity of Big Data increases, so does its value and application. Today, there is a widespread use of Big Data, and the whole fabric of life has become increasingly data driven. Here is a brief review of 7 major areas which have gone through massive transformations driven by data:

Data Mining for Developing Business Intelligence

The growing use of digital technologies in every sphere of life has resulted in the rapid escalation of digital data. While digitization of the facilities of everyday use has given rise to datafication, the process of datafication has produced a byproduct known as big data, which is regarded as a new oil of the digital […]

How Grepsr Works: A Brief Introduction

Web crawling and data extraction services at Grepsr are simple, quick, hassle free and intuitive. We focus on providing top–quality services to our customers in the highly competitive rates. Our strong base–with cutting-edge technologies and advanced infrastructure–in Kathmandu and our maturing technical expertise in the area have helped us to compete with the top tire […]

11 Interesting Quotes about Data

These days, almost everybody—be it a casual technophile or a trailblazing technocrat—has something to say about the usefulness of data. Apparently, there is no area of human interest where you cannot achieve agility, efficiency, and better outcome by deploying data science. Business, astronomy, neuroscience and you name it. Data had never been generated with such […]

How are Data Sharing Technologies Revolutionizing Education through Educational Data Mining?

Education-related statistics show the stark contradictions of our time, but they also tell us about the immense possibilities and big changes that are just around the corner. The rapid development and spread of disruptive technologies is breaking the conventional boundaries and pushing us into the new era of data-driven insights and efficiency. Data-enabled split-hair precision […]

Big Data & Power of Personalization

According to Wikipedia, Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. “Doing business without advertising is like winking at a girl in the dark. You know what you are doing, but nobody else […]

Big Data is Redefining News & Journalism

If digital data were something physical, it would have massively altered the shape of our world, probably, with new data mountains rising every hour. Whether you browse the web or flip pages of print media, you are sure to stumble upon some news about big data, all the while feeding the web with your digital […]

Data Mining: How Can Businesses Capitalize on Big Data?

In the recent years, data mining has become a prickly issue. The big controversies and clamors it has gathered in the political and business arenas suggest its importance in our time. No wonder, it is used as a household name in the business world. Data mining, in fact, is an inevitable consequence of all the technological innovations […]

Grepsr at Startup Asia event in Jakarta

We are just back from an awesome start-up event in Jakarta, Indonesia organized by TechInAsia. There were big investors and experts from the Asian tech industry at the event. We shared the stage with 15 other start-ups who pitched their product in front of a big crowd – it was an amazing experience! The reception […]