<p data-block-key="7vlx7">Your database contains a variety of file extensions, such as MP4, DOC, HTML, etc. The data gathered by these extensions is very diverse, so it becomes necessary to determine how your organization may derive value from this data.</p><p data-block-key="cl7rg">There are several criteria to take into account to categorize the data and convert it into meaningful insights. There are five main and innate characteristics of Big Data, also known as the Five V’s:</p><ul><li data-block-key="crriq"><strong>Volume</strong>: This refers to the data that exists. It is the initial size and amount of data that is collected. If the volume of data is large, it is classified as Big Data. This helps define whether your business requires <a href="https://www.quixom.com/big-data-solutions/"><strong>Big Data solutions</strong></a> for smoother processes and handling.</li><li data-block-key="6uloq"><strong>Velocity</strong>: Velocity defines the speed at which data is stored and managed by organizations. This includes the number of social media posts, search queries received within specific hours or days, etc.</li><li data-block-key="20uen"><strong>Variety</strong>: Many data sources are available today. Some of those are websites, apps, social networking sites, audio and video sources, smart devices, etc. This also includes data diversity, range, and whether the data is structured, unstructured, or semi-structured.</li><li data-block-key="87hnn"><strong>Veracity</strong>: Because the data is obtained from various sources, there are chances of errors and inconsistency. The data needs to be accurate and consistent to leverage analytics from this data. Big Data solutions help make the data comprehensive.</li><li data-block-key="b0ttc"><strong>Value</strong>: The usefulness of data for any business is determined by how much value it adds to the business’s existing corporate value. Businesses derive value from data through insights, discoveries, pattern recognition, and analytics.</li></ul><p data-block-key="c1o75">Big Data is vast and diverse. As a result, it is complex. To understand this complex data, you need systems that are able to process it.</p><p data-block-key="d33fp">Big Data uses a specialized NoSQL database that stores data in a manner that doesn’t need strict adherence to a particular model. This offers the flexibility needed to analyze available information and gain comprehensive insights.</p><p data-block-key="f7uod">Big Data is either classified as analytical or operational. Operational data involves data relating to customer data and inventories, while analytical data offers information and insights.</p><p data-block-key="a285l">When managing Big Data, you must employ an approach different from conventional ones. This is because the data volumes are large, complicated, and comprise diverse information.</p><p data-block-key="b62tf">To get actionable insights from these data sets, it is necessary to clean and process them. For a successful implementation of Big Data solution, you need to overcome challenges that might occur at the initial stages.</p><p data-block-key="fi1pn">You must answer a few critical questions before moving ahead with Big Data strategy consulting.</p>

big-data-solutions

<h2 data-block-key="3j7fy">How Is Big Data Used?</h2>

<h3 data-block-key="7vlx7"><strong>1.</strong> <strong>What is the purpose of your project?</strong></h3><p data-block-key="15cb4">A clear business objective is important before undertaking any Big Data project. Look for key issues or roadblocks that Big Data can solve. Your objective can be anything from driving sales to improving operations.</p><p data-block-key="6nplt">Remember that your focus shouldn’t be on using Big Data technology, it should be on how you can use it to help your organization meet its objectives.</p><h3 data-block-key="4k3bq"><strong>2. Are you familiar with your data problem?</strong></h3><p data-block-key="45ho8">Once you have defined a clear business objective for your Big Data venture, determine its significance from a data perspective.</p><p data-block-key="5fdv2">To make your data error-free or minimize negative impact, you will have to clean your data. You must hire a Big Data consultant to help you identify key variables to bifurcate your data according to your objectives.</p><h3 data-block-key="1edf2"><strong>3. Can you identify the source of your data?</strong></h3><p data-block-key="9e3fl">You must identify the potential data sources you will need to access for your Big Data project. All organizations have a database. Some even have built-in data warehouses.</p><p data-block-key="9oloq">A company that provides professional Big Data consulting services can help you address data source concerns and determine an ideal roadmap that supports your Big Data project objective.</p><h3 data-block-key="6vc6m"><strong>4. How is your data obtained?</strong></h3><p data-block-key="8m14o">Data can be captured through multiple external sources like social media, wireless technology, radio frequencies, etc. This is combined with the internally stored data to ensure that it is properly blended and accurately utilized.</p><p data-block-key="cobde">Another challenge you may face is data silos. Combining data from multiple sources like IoT sensors, social media streams, software applications, etc. to gather meaningful insights can be complicated.</p><p data-block-key="3744u">This isn’t because of inadequate technology. It is because of the lack of the ability to capture data effectively. Hire a Big Data consultant who assists you in implementing the right integration software to eliminate data silos.</p><h3 data-block-key="1n8qv"><strong>5. Do you have proper data?</strong></h3><p data-block-key="289ba">You have collected data. But are you sure if this data is beneficial for your project? You must know the parameters of your project, its purpose, usability, and objective to align your data with it. But how do you determine the data’s usability?</p><p data-block-key="1135e">Consider factors like the volume and velocity of the data, as well as take into account whether the data is structured, unstructured, or semi-structured.</p><p data-block-key="bb13l">Another thing to note is that your data should be the latest; if data has accumulated for a long period of time, it will not offer relevant insights. Big Data projects may be unsuccessful when you use outdated data. Instead, real-time data or recent data is preferred.</p><p data-block-key="ld2l">For example, you want to implement a Big Data project that seeks to address a new problem, but you do not have a currently consistent dataset for it. You will have to identify correlating datasets that are able to provide you with the necessary information.<br>This can be done by implementing a Big Data strategy consulting that can identify additional data that needs to be collected.</p><h3 data-block-key="20gjj"><strong>6. How will the Big Data project benefit your organization?</strong></h3><p data-block-key="empt9">Define what value your organization will gain from your Big Data project. Keep in mind things like budget and return on investment. Some popular industries like Marketing, Logistics, Healthcare, Retail, and Finance leverage Big Data to get real-time insights, monitor customer behavior, uncover hidden trends and patterns, and improve overall operations.</p>

List of questions to refer to before considering the Big Data Management Solution:

<h2 data-block-key="3j7fy">List of questions to refer to before considering the Big Data Management Solution:</h2>

<h3 data-block-key="7vlx7"><strong>Step 1: Identify Your Business Requirements</strong></h3><p data-block-key="1aedb">Understanding and defining your business and data requirements is important before collaborating with a Big Data consultant company. Define the type of data you need to manage, its volume, and how quickly that data might multiply.</p><p data-block-key="dr5f3">Also, decide if your organization needs real-time analytics or if it can work with the already existing data collected through batch processing. Once your business requirements are defined, applying relevant Big Data management solutions becomes easy.</p><h3 data-block-key="3q54f"><strong>Step 2: Consider Various Available Solutions</strong><br>&nbsp;</h3><p data-block-key="b5m7q">Several Big Data management solutions are available in the market. Some solutions are designed for particular industries or use cases, while others are broader and for common purposes.</p><p data-block-key="4q449">One must evaluate various available solutions based on scalability, ease of use, security, cost, and vendor support. Also, evaluate whether the solution is cloud-based or on-premise as it impacts data privacy and compliance.</p><h3 data-block-key="22vjl"><strong>Step 3: Examine Open-Source Solutions</strong><br>&nbsp;</h3><p data-block-key="fol47">Consider applying Big Data Management open-source solutions. A few that have gained recent popularity are Apache Hadoop, Apache Spark, and Apache Cassandra. They are free to use and receive support from large development communities contributing to their improvement.</p><p data-block-key="7lefl">Even though open-source solutions require more technical expertise, you must consider them to reduce costs and increase flexibility.</p><h3 data-block-key="95h7a"><strong>Step 4: Check if the Solution Has Built-in Analytics</strong><br>&nbsp;</h3><p data-block-key="73ler">The focus of Big Data consulting services is on storing and processing data. However, the role of analytics as an essential component should not be overlooked. Analytics is an important part of the Big Data ecosystem.</p><p data-block-key="5re5j">Check whether the solution you are considering has built-in analytics as a part of it or if you will need third-party tools to integrate analytics. It is recommended that you prefer solutions that support wide analytics use cases, including data visualization, Machine Learning, and predictive analytics.</p><h3 data-block-key="gs3g"><strong>Step 5: Ensure That the Solution Is Scalable</strong><br>&nbsp;</h3><p data-block-key="34n7e">The last step is to ascertain if your Big Data solution is scalable. Your data needs to evolve with your growing business. You need to upscale solutions to be able to handle large volumes of data and complex analytics use cases.</p><p data-block-key="3qg7g">Partner with a Big Data consultant who can provide you with a solution that is not only capable of growing your business but can also be easily integrated into other systems whenever required.</p>

Step-by-Step-Guide-to-Help-You-Choose-The-Right-Big-Data-Consulting-Services

Step-by-Step Guide to Help You Choose The Right Big Data Consulting Services

<h2 data-block-key="3j7fy">Step-by-Step Guide to Help You Choose The Right Big Data Consulting Services</h2>

<p data-block-key="7vlx7">Data is the most valuable asset that your organization can have at its disposal. It offers you critical insights into customer behavior and business operations. It can help you enhance efficiency, increase sales, optimize logistics and supply chain, and conduct predictive analytics.</p><p data-block-key="9h3a5">Exciting technologies like Artificial Intelligence, Machine Learning, and the Internet of Things are growing due to large volumes of available data. However, this available data is of no use if not correctly leveraged. Your business needs the right Big Data management solution to benefit from this data.</p><p data-block-key="46db0">Quixom has years of experience offering Big Data management and data engineering services that help organizations unlock the true value of Big Data. Our team of skilled experts assists you in implementing reliable Big Data management solutions that augment your organization’s decision-making, performance, security, cost, compliance, and data governance.</p><p data-block-key="1p7pt">Our Big Data consulting services include end-to-end data management, data processing audit, data modernization, data technology, and data architecture consulting. We help you define your business needs through factors like security, testing, and compliance that help your organization achieve its business goals.</p>

Obtain the Best Big Data Management Solutions

<h2 data-block-key="3j7fy">Obtain the Best Big Data Management Solutions</h2>

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<h2 data-block-key="p6jdi">Take Action: Overcoming the Challenges of AI in Clinical Trials and Embracing the Opportunities Ahead</h2>

<p data-block-key="7hfga">I’m a digital strategist, and I believe that unique businesses deserve unique strategies to succeed and I love coming up with ideas to match your ambition. I know you’ve got the ambition to spare, you’re a leader, and you understand the profit potential and exposure available for your business online.</p>

vishal

I’m a digital strategist, and I believe that unique businesses deserve unique strategies to succeed and I love coming up with ideas to match your ambition. I know you’ve got the ambition to spare, you’re a leader, and you understand the profit potential and exposure available for your business online.

Vishal Nakum

<p data-block-key="htln2">The dawn of the informational revolution has been followed by a surge in data. Data is constantly generated anytime customers access an application or search engine or travel with their mobile devices.</p><p data-block-key="6as96">Along with this, digital transformation enhanced computational power, leading to the development of technologies like Machine Learning, Artificial Intelligence, and the Internet of Things. These technologies need data to function.</p><p data-block-key="gm1o">As a result, data has become the primary resource of all organizations, and Big Data management has become an integral aspect for businesses to survive in the digitally competitive environment. This, in turn, has resulted in the growth of Big Data consulting services.</p><p data-block-key="d0mu9">The ultimate goal of any business is to offer exceptional digital services to its customers. However, businesses need data on emerging trends, customer preferences, shopping behavior, and patterns to do that. Big Data makes it possible. Let us understand how.</p><p data-block-key="67h25">Big Data is a combination of various types of structured, unstructured, and semi-structured data. It includes both historical and real-time data. This data is mined and collected by businesses to extract information. Based on this information, predictive models, <a href="https://www.quixom.com/11-ways-we-use-machine-learning-solutions-day-to-day/"><strong>Machine Learning solutions</strong></a>, and advanced analytical applications are developed.</p><p data-block-key="atf6i">These applications empower businesses to gain insights into customer data that is further used to refine their marketing, advertising, and promotions to increase customer engagement and conversions.</p><p data-block-key="ctli2">A rising number of businesses are hiring Big Data consulting services to assess and meet customers’ evolving preferences and enhance their responsiveness to customer needs and wants. Organizations are realizing the potential of data and how they can convert it into actionable insights by applying analytics.</p><p data-block-key="3p1mi">To fully harness the power of data, it is crucial for businesses to implement a Big Data strategy consulting that helps them correctly collect, process, and analyze this data.</p><p data-block-key="8126k">Before we dive into that, let us understand how Big Data works and how data scientists derive value from data to obtain meaningful insights</p>