Impact of Big Data on Business: 5 Practical Examples
Each day, some 402.74 million terabytes of data are generated across personal devices, workplaces, and social media. Clive Humby famously said, “Data is the new oil.” So, just imagine the impact of ‘Big Data’ on the business world! When leveraged effectively, it opens the door to smarter decisions, streamlined operations, and sustainable growth. Quick Bytes: What Makes Big Data Valuable for Businesses of All Sizes? Every business — small or large, offline or online — creates, receives, and shares data across multiple channels, whether through operations, transactions, customer interactions, websites, or apps. However, the challenge isn’t just collecting or processing this data; it’s making sense of it. Data comes in different formats, from varied sources, and often in real time. Businesses need to integrate, analyze, and extract trusted insights from this data. Notably, the role of the Chief Data Officer (CDO) is becoming critical for modern organizations. They orchestrate how data is safeguarded, shared, and optimized to support smarter decision-making. But even the most skilled CDOs need the right Big Data and analytics tools to act effectively and deliver impact at scale. Big Data includes both structured and unstructured content. When managed and analysed well, it helps you uncover patterns, trends, opportunities, and risks that would be impossible to identify manually. These actionable insights guide smarter decisions, strengthen operations, and shape long-term business strategies. Impact of Big Data on Business Processes: 5 Actionable Scenarios Not all data is useful. Your data must be accurate, accessible, relevant, consistent, and timely to drive real benefits. How poor data quality can affect business performance? Here’re two simple examples why good data is so important for your business. Today, one of the most notable shifts in the data landscape is the growing integration of machine learning (ML), Natural Language Processing (NLP), and artificial intelligence (AI) into data management systems. Significantly, Big Data and analytics tools are no longer confined to IT workflows; they are now being applied across a wide range of functions and industries. Let’s look at five actionable scenarios where Big Data strengthens business processes and drives real impact: 1. Data Becomes a Business Intelligence Asset Big Data forms the foundation of your Artificial Intelligence (AI), Business Process Automation (BPA), and Business Intelligence (BI) initiatives. When leveraged effectively, it powers all three, delivering actionable insights that drive results. Together, they help you: In essence, big data becomes your core Business Intelligence (BI) asset. 2. Big Data Unlocks Marketing Intelligence Customer satisfaction lies at the heart of every business. Surely, it works the same way for your business, too. With Big Data, you can uncover patterns and factors that influence consumer behavior. For example, Facebook and Instagram advertising tools reveal insights into people’s interests and hobbies. This is valuable strategic intelligence for marketers. It helps you create personas for your target audience, enabling you to plan and execute marketing strategies more optimally. This takes you beyond broad market segmentation, isn’t it? 3. Data Helps Improve Customer Experience Even small businesses generate valuable customer data through websites, social media, and other digital touchpoints. By analyzing this data, you can enhance user experiences and identify areas for improvement. For instance, if a product-ordering page is slow or confusing, customers may abandon their carts. With UX data insights, you can optimize these pages, improve the customer experience, and ultimately increase sales. A seemingly small issue, but it clearly demonstrates how valuable user data can be for driving sales. Other key areas where Big Data helps include demand forecasting, personalization, secure payments, and more. 4. Big Data Impact on Business Efficiencies Within internal management, Big Data actively boosts efficiency. By tracking the performance of machines, streamlining delivery processes, and enhancing customer interactions, it optimizes a wide range of operations. These improvements save time, reduce costs, and increase accuracy across the organization. For example: In short, Big Data helps drives operational effectiveness and delivers tangible business value. 5. Fraud Prevention and Big Data Fraud prevention is another powerful way Big Data enhances your business operations. By monitoring and analyzing massive streams of transactional data in real time, you can quickly spot irregularities and stop suspicious activity before it causes losses. For example, credit card companies use Big Data to track millions of transactions simultaneously. Advanced models enable continuous monitoring and faster detection of anomalies, such as sudden spending spikes, large withdrawals, or unusual locations, allowing immediate action to protect customers. Reportedly, AI and Big Data are now central to the UAE banking industry’s cybersecurity and fraud prevention initiatives. Maximizing Big Data Impact with Custom BI Solutions The true value of Big Data remains out of reach when businesses lack strong Data Governance, quality controls, and risk management. Without these, data becomes inconsistent, inaccurate, and vulnerable. This leads to poor decisions, compliance issues, and security gaps. Custom BI and analytics solutions help because they are tailored to your organization’s unique data, processes, and goals. Want to harness the true potential of your Big Data? We help businesses achieve seamless, scalable, and secure data management through our results‑driven, custom BI and automation solutions. Reach out for more info.
How Birst BI and Analytics Can Transform Your Business
Birst BI Analytics—the modern BI platform—can help you make smarter business decisions and drive growth! Read on. Founded in 2004, Birst is a leading BI solutions provider. It equips your business with simple, powerful tools for analyzing enterprise data. Sharing information across teams is effortless through cloud-based business intelligence and reporting. The platform helps you leverage data for better, more informed decisions. It rapidly delivers insights, from personnel to operations to customer satisfaction! Eventually, the company has become part of Infor, a global ERP Solutions company. The Birst Philosophy Birst has overhauled how analytics were done in the past. The goal is to involve your staff rather than just giving them tools. They call it an ‘adaptive user experience’. The idea is to make data consumers part of the BI process. Simply put, it reduces the gap between report builders and viewers, so consumers can better understand the data. is to make consumers of data part of the BI process. Following are some of Birst’s incredible offerings that can transform businesses. Incredible Dashboards and Visual Elements The platform helps you manage data easily. How? Firstly, with user-responsive and HTML5-integrated dashboards, you can manipulate data without any technical expertise. Since Birst’s visual discovery and dashboards require no training or IT intervention you can enjoy true self-service BI analytics across your enterprise. Next, Birst’s networked analytics connects your team’s insights so you can make trusted, smarter decisions. Additionally, the amazing drag-and-drop features help you look into the data and optimise visuals. This means that you can directly interact with the software and become part of the reporting solution. Mobile BI with Birst Analytics What makes mobile BI so compelling is that you can weave it much more closely into where work is actually getting done, away from the office. There is increasing demand for mobile analytics, ETL applications, enterprise reporting, ad hoc querying and mobile dashboards. No wonder, mobile computing companies are focussing a lot on enterprise business intelligence (BI) mobile apps. With Birst, business managers and executives get quick access to data anytime, anywhere and from any device. This allows you to manipulate charts and tables, filter results and get hold of critical reports no matter where you are. So we can say mobile BI is no longer a nice-to-have; it’s quickly becoming the primary way businesses expect to consume analytics. As users are becoming more demanding of BI mobile apps—are you? Birst BI, an Open-Client Interface Birst BI and analytics solution can easily be integrated into some of the other tools, like Excel, R and Tableau. The tool handles queries behind the scenes, providing users with a seamless experience where every consumer becomes a producer, analytics adapts to your modern mobile workstyle, and everyone can use their existing analytic tools. As a business you are at an advantage because you are now working with a front-end application that you are already familiar with. This as well ensures that all the different departments across the company are on the same page. Outstanding Reporting from Birst The platform offers enhanced features that allow your staff to create highly-readable and insightful reports. It also ensures security of data. In addition, Birst offers a report-creation mechanism that allows your team to experiment with the reports’ design elements using easy-to-use features like drag-and-drop, double-click, auto-complete search, guided visualizations, and visual filtering. Predictive Analytics Tools With latest predictive analytics capabilities, Birst helps businesses stay ahead in the game. Its advanced mechanisms ensure that your time is not wasted in carrying out data mining functions. Signifcantly, companies have been amassing data for years, yet the industry has finally reached the consensus that data for its own sake is not valuable. Now as a company you need to ask the critical question: Where’s the value? All of this means that we have finally reached a point where data science can be applied by people who do not have advanced degrees in mathematics. On average, between 60% and 73% of all data within an enterprise goes unused for business intelligence (BI) and analytics, a study had found, markedly. Are you looking for high-quality BI solutions? We at Centelli bring rich experience and expertise across leading BI platforms, helping your company thrive in its industry. To know more, contact us now!
Making the Most of Data: Analysis and Business Intelligence (BI) Tools
However today, with the rise of scalable and affordable data analysis and business Intelligence tools, any business having vision and willingness can use a more holistic use of BI to their advantage. Strikingly, the picture was rather different not many years ago. Integrated BI, or Business Intelligence systems and processes, was a luxury that only big enterprises could afford to employ. But in the future, more and more companies of all sizes will be looking to modernise their infrastructure and use advanced BI analytical tools. This will help them: A Bit About Business Intelligence (BI) Business Intelligence uses strategies and technologies to analyse business data and information. BI technologies help organisations gain historical, current, and predictive views of their operations. How does that work? However, you must also acknowledge that it’s no longer enough to look at historical trends. It’s now important to identify patterns in the data, shifting focus towards predictive analysis so business managers can make crucial strategic decisions. Making the Most Out of Data Available In today’s digital landscape, businesses must fully use the data at their disposal — along with growing data from external sources. As people increasingly recognise the value of understanding this information, data is rapidly becoming a major business asset. Therefore, using the right set of BI tools is essential to manage and thrive in such an environment. Here are some key ways to do this: 1. Start with the Data You Already Have In the beginning, focus on building your understanding and keeping things simple. You do not want to overwhelm your team; instead, support them as they grow and develop in this new landscape. For example, you might already have more data than you realise. From website traffic, hits, and likes to newsletter signups and online enquiries, there’s a lot you can work with. Moreover, you can align BI tools to identify and analyse data, helping you recognise patterns and make sense of the information you collect. 2. Get Insights about Your Customers Understanding your customer is key to any business. By knowing their past preferences and predicting how they will behave in the future, BI tools can connect with Customer Response Management (CRM) tools to gather, analyse, and report this data. For instance, you can plan campaigns by recognising that your customers from a certain part of the world have an upcoming festival. Offering seasonal discounts during this time could be a strategic move. Moreover, analysing the response to such a campaign can provide valuable insights into its effectiveness. 3. Measure Data in Real-Time With the advent of mobile phones, data is now shared, analysed, and displayed on the go across a range of mobile devices. This real-time analysis is made possible through BI tools, allowing managers to view results and forecasts directly in their hands, even while on the go. Many off-the-shelf BI products offer this functionality as standard, making it relatively simple to implement. In fact, the IT department does not need to be involved. By correctly configuring KPI dashboards and generating real-time reports on sales directly to your handheld device, you can see how much can be achieved through BI tools to keep up with the fast turnaround of information needs. 4. Predict the Future Using Integrated BI The traditional Excel spreadsheet has long been the standard tool for recording information and tracking progress. However, it is labor-intensive, error-prone, and not well-suited for making predictions about the future. This is where integrated BI tools come in. These tools provide data analysis that helps define trends and identify growth opportunities. Being able to look forward and steer the ship is far more effective than looking back at the wake and trying to make decisions. With BI tools, you can make a real impact on your business’s future. We at Centelli are a leading Business Intelligence Consultancy based in the UK, serving businesses across the EU, US, and worldwide. With a team of savvy data analysts and gurus, we help businesses make use of BI tools to face complex challenges and modernise their infrastructure. Contact us for more info.
6 Business Metrics You Should Know About
A lot of people know about Key Performance Indicators (KPIs), KPIs are themselves made up of many measurable values, or metrics that show how your Business is progressing. They highlight whether objectives have been achieved. And a trend of historical performance. As a business in this data-dominated world, you need to identify your key metrics and then effectively measure and monitor them to stay on top of your game. With advanced data analysis tools, your staff can easily do that with the right information at their fingertips. Here are 6 useful business metrics that you ought to really know about: 1) Sales’ Revenue This one’s pretty obvious. Also called “Sales“, “Net Sales“, “Net Revenue“, and just plain “Revenue” and is the Income from sales of goods and services minus the cost associated with things like returned or undeliverable merchandise You need to find out how sales are doing. Knowing this will help you figure out crucial aspects, such as how your marketing efforts are performing, what products or services are selling more, etc. Calculating this will help you understand if your business offering is on the right track financially. 2) Qualified Leads As your sales’ efforts grow, you will be generating more and more leads. Qualified leads are those that have the potential to become customers. They are prospects already in your lead-tracking system, expressed interest in buying from you and passes a set of lead qualifications to progress further down the funnel Measuring these qualified leads will help you understand whether you are targeting the right market and help assess the kinds of customers that you are attracting. This helps to give a view of future potential sales and the direction of marketing campaigns and make productive changes. 3) Customer Loyalty Customer loyalty is defined by your success in retaining customers for a period of time. Loyal customers use your brand and do not buy from competitors. Customers show their customer loyalty when they consistently purchase a certain your product or brand over an extended period Measuring customer loyalty and retention rates will help you identify both good and bad aspects of your products and services. Your goal is surely to enhance your offering and the way you do business to hence, improve customer loyalty. 4 ) Client Conversion Rate Conversion rate, as the name suggests, is the number of people who actually bought your services and products after your sales team contacted them. Is often presented as a percentage of prospective customers who moved from being qualified leads to actual purchasers: An example might be percentage of website visitors who purchase after who filling out a form, call you, or enquiring from you online If you find that your conversion rates are low, then you need to look at how effective your online presence is or other parts of your sales processes. 5) Website Traffic In the digital world, almost all businesses now need a website and an online presence. Today’s customers first go online and look at you through your website as part of making their purchasing decision Using web tools, such as Google Analytics, you can easily measure traffic. In fact, you can track the entire buying journey. These and other such insights help you form better digital marketing strategies and up your game online 6) Employee Satisfaction Research has shown that the happier employees are 12 percent more productive. As a business looking to achieve long-term success, you need to ensure that your employees are finding meaning and are satisfied with their work. Employee satisfaction measures whether employees are happy and fulfilling their needs at work. Many measures purport that employee satisfaction is a factor in employee motivation, employee goal achievement, and positive employee morale in the workplace. Make sure you regularly carry out surveys to measure their satisfaction levels. Also, take their suggestions about what would make life better at work. Good managers know that happy employees are loyal, productive employees. We at Centelli provide KPI framework consultancy services, encompassing many more metrics and KPI to keep track of your business. We can also support you in the selection of the most appropriate cost-effective tools for the modernisation of your business KPI reporting. This will free you up, to focus on what such measures and data can really do for you in your business. With a team of savvy business intelligence analysts, we offer such optimised solutions to businesses across Europe.
Ways You Can Modernise your Business Intelligence
We are living in a business environment that is dominated by data. Whether it is marketing, finance, or operations, major decisions are based on insights from data. You must modernise your business intelligence (BI) if you want to sustain and grow. Previously, business intelligence was a luxury that small companies and organizations could not afford. In contrast, the big guns in the corporate sector hired teams of data scientists, who would mine data and provide useful insights to them as one offs to support big decisions. However, with the advancement of BI software, this has changed! Today, businesses of all sizes can make use of BI tools and analytical resources to gain an edge. 4 Key Ways to Modernise Your Business Intelligence In this competitive and fast-evolving landscape, you have a choice to make: struggle or modernize your business intelligence. And you’d surely prefer the latter. So, here are some ways you can do that and leverage maximum advantage out of it: 1. Use Self-Service BI Tools Your employees should not have to ask the IT team to provide relevant BI data. They must be able to access it whenever and wherever they want to. This is where self-service BI comes in. These tools can allow your staff to handle clients’ queries in a timely manner. Data can now be presented straight to your desktop, tablet or mobile phone. 2. Automate Processes for Business Intelligence Tools For your BI tool to function effectively, you need to make sure that the data gathered is of a good quality and accurate. Many enterprises still resort to manual processes. Their teams manually type in data on spreadsheets to be used by highly localised BI tools. However, the problem with this is that it can lead to: This can essentially render such BI tools almost useless! Make sure you are using automated tools for gathering and recording data (if your BI tool does not already have that). 3. Incorporate Other Device If you are looking to modernise BI, you cannot just limit it to Desktop, PCs or Laptops. You can now incorporate these tools into tablets and smartphones. Your customers and your employees have gone mobile. From buying/selling to reading emails, people use mobile phones on the go. Therefore, your BI strategy will greatly benefit from embracing mobile, putting information directly into the hands of those that need it. 4. Make Use of External Data Traditional BI would provide you insights about your profits, customer touch points, online sales, and so on. This is data is traditionally from internal sources. However, a truly modernised BI must be able to gather information from external sources as well. It should be able to help you blend this to drive insight and decision making. For instance, an event planner should have the capability to predict attendance, based on data from weather forecast reports, geographic attendance trends, knowledge of other simultaneous events, and plan accordingly. With a team of data scientists and BI gurus, we at Centelli help organisations modernise business intelligence. Our business intelligence and analytics consultancy can help you incorporate tools and solutions more effectively to transform the way you do business. Book your free consultation today.
Differences between Strategic and Tactical Business Intelligence
With heaps of data at their disposal, it would be naïve for businesses not to take advantage of it. However, business intelligence (BI) exists in many forms. Let’s take a closer look at strategic vs tactical business intelligence here! Both shape data-driven decision making in their own way. Markedly, modern BI tools enable the rapid collection, processing, and analysis of massive data pools. With such advanced mechanisms, business intelligence and analytics can provide incredible insights. As a result, BI greatly benefits business owners by improving productivity, enhancing customer service, and reducing costs. Strategic vs Tactical Business Intelligence at a Glance Strategic and tactical BI are the two major types (with the others being predictive, diagnostic, and descriptive BI). Although often used interchangeably, there are quite a few differences between the two. Now, let’s break them down individually for better clarity: Strategic Business Intelligence It’s primarily focused on how insights from data will be implemented, driving and informing strategy. It, moreover, supports planning and all forward-looking business activities. So, what sets strategic intelligence apart? Here are three key characteristics: 1. Oriented towards the Future The great thing about the strategic approach is that it can predict future conditions. This allows businesses to plan for the long term and make more informed decisions, removing the guesswork. By uncovering potential possibilities and probable outcomes, strategic business intelligence empowers them to formulate their future course of action. 2. Deals with Identifying Trends and Patterns Strategic intelligence can also help businesses understand current industry trends and make sense of consumer behaviour patterns. As such, it puts businesses more in the driving seat, in a better position to thrive. 3. The Upper Management Deals with Strategic Intelligence Since it involves looking at the bigger picture and deciding the future course of action, strategic intelligence is handled by the top executives – steering the “ship-of-business” by looking forward rather than looking backwards at the wake. Tactical Business Intelligence It’s a type of business intelligence that deals with how the strategies will be implemented and informs about the tasks to be performed. So, what defines tactical intelligence? Here are three key characteristics: 1. Deals with Present Scenarios Tactical intelligence provides real-time analysis of the current competitive landscape and operational performance. This helps businesses prioritize and take timely actions. Furthermore, it also enables them to achieve their objectives, stay on track, and align with the strategy and plans set through strategic intelligence. 2. Evaluates Whether the Company Has Enough Resources This model can help assess whether the company has adequate time, money and manpower to implement the plans. It tracks and informs about the effective use of all its assets. What’s more, it helps businesses make efficient use of their resources! 3. Different Departments can be Responsible for Carrying It Out Since tactical intelligence deals with actual implementation, different departments can be involved depending on company’s needs. To leverage these tactical and strategic insights effectively, businesses need the right tools, however! From BI Approach to Types of Business Intelligence Tools It’s no exaggeration to say that the advent of easily accessible software technology has leveled the playing field. Importantly, these applications can leveraged by small businesses and large enterprises alike. Moreover, many of these BI tools can be customized to meet a business’s unique requirements. With deep experience in Business Intelligence, we at Centelli help businesses thrive in the digital world. From strategy to solutions, we help drive your growth through: For more details or any questions, reach out to us today!
4 Ways to Leverage Data for Optimal Results
In this digitally enabled world, data has become of incredible value for businesses. If you are a business leader wondering how to leverage data for real value and impact, you are in the right place! No doubt, the companies who have employed forward thinking data management and analytics approaches, have gained a competitive advantage in this data-dominated world. However, the question is: how to capitalise on your data? How to Leverage Data for Optimal Results At Centelli, our team of business intelligence experts suggests four simple ways you can leverage data to your advantage: 1. Use Data to Create a Comprehensive Product Platform, Not Just a Pipeline In the past, one approach that businesses took was to push new products and services to their customers. This was called the pipeline model. Today, however, by taking advantage of data, companies can interact with their customers in a more meaningful way. What’s more, using the same data, they can scale accordingly. This helps them create a comprehensive product platform with the backing of robust data. 2. Leverage Data Analytics for Improving Customer Satisfaction With massive amounts of data that has been accumulated, it can become extremely difficult for companies to analyse that data and utilise it to gain a competitive advantage and increase customer satisfaction. However, using effective data analytics tools, the data obtained from web traffic, surveys, and call centre records can be used to give better insights that can enhance customer experience. Here is one key example of this in action: Global retailer Walmart leverages real-time data to fine-tune its personalized marketing, offers, and product recommendations. Want to make your data work to your advantage? Our business intelligence experts and data scientists can help you unlock its full potential. We specialize in gathering, organizing, interpreting, and integrating data across platforms for deep insights. Contact us today. Notably, AI-powered inventory management not only helps the company avoid issues like overstocking and stockouts but also ensures customer delight and wins more customers. 3. Becoming Reliable and Effective with Data Your customers want relevant and useful content in this digital world. Portraying yourself as a transparent company goes a long way in establishing you as a reliable source. Glassdoor and Indeed, online job search companies, for instance, do this effectively by providing a reviews and ratings section. Job seekers can use this section to learn more about the companies they want to join. 4.Using Data for Better Business Decisions Finally, managing and analysing data better can help improve your decision making. From enhanced supplier management to driving costs down, there are many ways data can prove insightful for you. Markedly, big data and data formats are evolving with new breakthroughs in technology and platforms to manage, store, process, and transfer. These present new challenges, and so you must ensure relevant expertise and create processes to manage it all.
The Importance of Monetising IoT Data
Synopsis: Experts believe IoT data monetization is set to play a pivotal role in driving broader economic growth. Companies wanting to thrive and scale in today’s digital landscape must leverage new IoT data to boost business intelligence, operational efficiency, and revenues. It is said that by 2020, 69% of global households will have Internet access. According to data from the UN’s ITU agency, global smartphone penetration is expected to reach 75% globally. Smart devices are now taking over homes across the world. This leads to unprecedented opportunities of finding incremental revenue for IoT (Internet of Things) suppliers. There is no denying the fact that IoT isn’t just another internet trends. It is the future of business and here to stay. Explore how IoT is redefining revenue streams! IoT Promises to Deliver Data Driven Experience IoT data offers amazing opportunities, better operational efficiency, leading to reduction in waste. Cognitive computing when paired with instrumented data has the power to drive new business models and find new chances for market expansion. In fact, many experts now agree that IoT data monetization is on the cutting edge of broad economic development. Therefore, companies that want to develop and expand in today’s digital world must use new IoT data to understand economic optimums and augment market performance. Furthermore, organizations ought to be willing to compensate for data to help them better understand definite segments, as well as create new and exciting marketing initiatives. Two points in case here: promotions and customer insights. Take for example the John Deere range of IoT based products. These run analytics on connected equipment in possession of their farmers. The data is collected via in-field sensors, which is then used to: But that’s not all. The new tech is also enabling farmers to reduce water wastage while enhancing the yields. Undoubtedly, this is the right time for organizations from across sectors to start exploring what IoT data can do for them. Seizing Opportunities Brought by IoT Data Traditional ways of conducting business are rapidly evolving. New ways are emerging for data monetization, whether it’s big data, mobile data, or IoT. Connected IoT devices capture valuable data on user behavior, environmental changes, and how machines, equipment, and devices perform. Businesses can turn this data into revenue through innovative applications. Proactive maintenance, smart industrial and domestic solutions, and optimized supply chains are some common use cases. It is, however, important to remember that success brought on by the utilization of IoT data should also be complemented with solid relationships with your customers. Importantly, you also need to build a quality business model. It is a non-negotiable imperative for organizations and enterprizes that want to succeed in the digitized world. Unlock Your Data Value with Experts It takes deep expertise, the right solutions, and well-defined processes to collect and process data, navigate its complexity, and draw meaningful insights. At Centelli we provide a range of business intelligence and intelligent automation solutions with capabilties to handle Internet of Things. Our custom-built tools can help you make the best of your IoT data, monetize it and drive real value. Ready to Monetize your IoT data? Email us for more info or book a call to help us understand your requirements.
Implementing a Successful Data Initiative
An effective corporate data initiative provides a solid groundwork for successful operations. Whether a company needs to adapt to a changing business environment or pursue its own growth ambitions, data-driven decisions help navigate with confidence. And thanks to the world-changing shift towards digitisation, it is possible to measure, monitor, categorise and analyse anything and everything called ‘digital data’. Moreover, improvements in computing—with power on tap through cloud providers such as Amazon AWS, Microsoft Azure, Google Cloud Platform, and others—allow for lightning-fast data analysis. Imagine the massive business intelligence and actionable insights this can provide! How Data Intelligence Benefits Significantly, what a company does with this data available will make the differentiate the good from the great! Positive differentiation can help organisations in the following areas: However, a strategic approach goes a long way in maximizing the results, value, and impact of corporate data initiatives. Key Considerations for a Successful Data Initiative Here are some key considerations to keep in mind: Data initiatives must be agile in their execution to ensure that quick adjustments to the approach can be made and results are delivered quickly. Agile organisations tend to actively seek feedback, learn and adapt. This agility is critical to ensuring success of complex initiatives such as data. Each organisation, its data, priorities and strategy is different from others in the industry. Data initiatives must cater to these unique needs. Big data management must also take into account the unique model, customer, operational risks and cultural needs of the organisation. Successful data initiatives need to drive business outcome and should be sponsored by senior a business executive. Senior sponsorship ensures the data initiative delivers results that matter and helps unblock organisational barriers that will come up through the journey. Data security and privacy is a very important aspect of any data initiative. Especially, if your organisation deals with customer/end user data. Therefore, you must build data security into the data initiative from the start to ensure compliance with regulations such as GDPR. In order to maximise return, you should make investments as close to the point of need as possible. It should be possible to scale, and pay for the scale, in line with the uptake of initiatives. Cloud resources are vital to enabling this, notably. If you are just testing the waters or have a specific need at this time, focus on the most important aspects and expand over time. Also, if you are not actively managing your data, you risk it being mismanaged. Don’t wait; act today. Take control of your data. Our data management and BI consulting services are only a click away! For more information or to request a service, contact us now.
Leveraging Unstructured Data for Business Efficiency
Organizations are increasingly embracing data analytics with the aim of innovating. Yet, leveraging unstructured data to the fullest is a struggle for many. This could be due to data complexities, processing challenges, and other systemic issues. Consequently, while many companies are already adopting big data for specific applications, the majority still work only with structured data. However, the future belongs to those who develop the ability to leverage semi-structured and unstructured data as well. In a nutshell, a comprehensive and modern BI approach. 2 Key Challenges of Unstructured Data +Solutions Organisations that try tackling unstructured data come across two common challenges: How to fix these? 1. The first issue can be solved by building a central repository, such as a data lake. We recommend building these repositories in the cloud. Key benefits: You can scale on demand and avoid any upfront investment in infrastructure. 2. The vast amount of data variety also mandates successful unification to ensure that organisations get the desired results. Why? Repositories or Data Lakes can’t help solve this conundrum, despite the fact that these offer more flexibility than traditional data warehouses have ever provided. It is now possible and a lot more affordable to embrace information processing, get faster access, and take advantage of the advanced capabilities of modern insight engines. What If a Business Isn’t Primarily Data-Reliant? Many businesses rely on big data, even if their services/products aren’t primarily data reliant. The reason is that Big Data tools and BI services let them unlock huge market advantages without making massive financial investments or long development cycles. So, now they are also focused towards using up their vast reserves of disparate, unstructured data. This is a huge shift! Here’s how it all plays out: Unstructured Data Is The Recipe To The Secret Sauce Businesses that understand and invest in the success of their BI initiatives must also realize the potential of unstructured data and find the best ways to tap into it for their victory. No organization can succeed in the long term without leveraging unstructured data alongside structured data. The most thrilling promise of Big Data and BI solutions is that they can bring together this unstructured data and empower businesses and organisations with much better decision-making. That said, leveraging your unstructured data assets should not be daunting or half-baked! Which means you need the right tools and applications. You could even opt for process-centric data analytics for granular insights, enabling deeper understanding and more precise strategies and planning. Here at Centelli, we offer a wide range of unstructured data solutions, addressing all your business information challenges and solving them effectively. We are an experienced business intelligence consulting firm who can help you employ BI suited to your business needs. Call us to get started!