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Why Maximizing Data Insights Can Drive Decisions That Yield Growth
Why Maximizing Data Insights Can Drive Decisions That Yield Growth

Forbes

time13-06-2025

  • Business
  • Forbes

Why Maximizing Data Insights Can Drive Decisions That Yield Growth

Business leader reviewing data insights Nearly everyone in an organization feels the pressure to act decisively. From the individual contributors helping internal users with technical issues to top leadership, all must make decisions that impact critical outcomes. Going down the wrong path may have consequences ranging from a minor mishap to an unrecoverable catastrophe. In my experience, whether situations call for split-second choices or drawn-out analyses, having data-driven insights to rely on can steer the team in the right direction. Nonetheless, sometimes access to facts, figures and stats isn't enough. Maximizing data insights not only ensures a higher degree of accuracy but also results in growth. Discover the main reasons below. Many business leaders have experienced working for an organization that lacked clear strategic direction. Even worse, its initiatives might have frequently shifted abruptly—from crucial decisions about brand identity to determining who would oversee the company's website redesign. While inconsistent decision-making sometimes stems from conflicting viewpoints, it most often signals a fundamental failure to harness data effectively. The challenge isn't always a lack of research or information. More often, not using data effectively can be linked to disorganization, or to models or datasets that need fine-tuning. This is particularly true in the age of LLMs and Machine Learning, where high-quality data is more critical than ever. In other words, the organization lacks the proper tools to consolidate its data. This prevents the information from sufficiently synchronizing to yield clear, actionable insights that ensure everyone is on the same page. Some of my portfolio companies have used tools like that allow companies to build datasets, evaluate or fine-tune models and collaborate with multiple stakeholders. Rather than making decisions based on disparate data, marketing and customer service directors can access the same, unified information. This approach leads to cleaner datasets that are synthesized across departments, ensuring greater consistency. When critical stakeholders contribute to data models, it reduces surprises and disjointed decisions. This allows the company to maintain its trajectory, enhancing growth aligned with data-driven insights. With improved consistency, employees gain greater clarity, enabling them to achieve their growth goals. Analytics reveal insights beyond just current market trends. These tools also provide predictive capabilities, which are crucial for enhancing a company's competitiveness. By fully leveraging data analytics insights, organizations can stay ahead of the curve. Remaining ahead of the competition translates to delivering solutions before competitors do or offering superior versions that improve the customer experience. This competitive advantage may be magnified by what's often called a 'data flywheel'—a virtuous cycle where insights drive better products and services, which in turn generate richer data for even further optimization and differentiation. For example, Helix Wireless was able to help client Genesee & Wyoming, a short-line railroad holding company, do this through data-driven insights. Train passengers naturally want to stay connected while they're traveling. However, the nature of train travel means railroad cars are passing through tunnels, remote landscapes and long distances. Different wireless carriers own and operate the towers that enable mobile data and, consequently, mobile Wi-Fi networks. When service constantly switches between these carriers, it can result in dropped and unstable connections. Leveraging data insights, Helix knew its client was juggling multiple relationships with different carriers across various countries. This led to a less-than-seamless experience for the railroad operator's customers. So, Helix's used their SmartSIM to eliminate challenges with connectivity, roaming expenses and service restrictions could be overcome. Costs related to purchasing and logistics decreased by 25%, and customers got a better experience. When service and product solutions become more competitive, market growth typically follows. Anytime you see a user experience that has disruptions like this, try and find a solution that can eliminate frustrations for your customer. Consider any major decision, personal or professional. The inherent uncertainty often leads to agonizing over 'what-ifs' —the potential risks and downsides of choosing a particular path, sometimes even the worst possible outcomes. In business, when teams and leaders rely on intuition rather than insight, risks can be greater. Decisions become susceptible to real-time impulses or are hindered by incomplete data. Assumptions may also arise from a lack of proper tools to interpret information correctly. Regardless, failing to maximize data insights often leads to poorly informed choices. It's similar to looking at a picture from a single angle. Acting on this limited perspective, an organization may proceed down a misleading path, taking on unnecessary risks and dealing with the ensuing fallout. Getting a complete data picture eliminates most of the guesswork. Instead of choosing a direction based on assumptions, decisions are backed by comprehensive data. The broader the perspective, the greater the accuracy. Consequently, more informed teams and leaders face a reduced chance of undesirable outcomes. Mitigating risks means fewer costs that can stifle growth, including qualitative expenses like the erosion of brand trust. A company's growth is often synonymous with success. But behind the numbers are well-made decisions, ranging from strategic product launches to everyday interactions with clients. Without data-driven insights, those choices can derail an organization's growth trajectory. Acquiring the tools and resources needed to get the most out of the information you gather will enhance consistency, competitiveness and risk reduction.

Musk's X Selects Polymarket as Prediction Market Partner
Musk's X Selects Polymarket as Prediction Market Partner

Bloomberg

time06-06-2025

  • Business
  • Bloomberg

Musk's X Selects Polymarket as Prediction Market Partner

Elon Musk's X and the cryptocurrency-based predictions market platform Polymarket are partnering to provide data-drive insights and recommendations derived from posts on the social media site to the predictions platform. Terms of the agreement weren't disclosed. The partnership will begin by launching a joint product and aim to release a suite of similar services to users of both platforms, according to a statement from Polymarket on Friday. The venture will incorporate Grok, the AI chatbot developed by xAI, Musk's artificial intelligence company.

X names Polymarket as its official prediction market partner
X names Polymarket as its official prediction market partner

TechCrunch

time06-06-2025

  • Business
  • TechCrunch

X names Polymarket as its official prediction market partner

X, formerly known as Twitter, announced on Friday that it has partnered with Polymarket, naming it the platform's official prediction market partner. Launched in 2020, Polymarket allows users to bet on the outcomes of real-world events using cryptocurrency. Although the companies didn't announce specifics about the partnership, they shared that they will be launching 'an integrated product to deliver data-driven insights and recommendations.' Polymarket predictions will be combined with X data to deliver live insights, with real-time annotations of market moves from Grok and relevant X posts, Polymarket explained in a press release. The product will be the first in 'a suite of integrations and unique experiences' that will emerge from the partnership, the company said. 'Combining Polymarket's accurate, unbiased, and real-time prediction market probabilities with Grok's analysis and X's real time insights will enable us to provide contextualized, data-driven insights to millions of Polymarket users around the world instantaneously,' said Shayne Coplan, founder and CEO of Polymarket, in the press release. 'We look forward to enhancing X and Polymarket users' ability to make instant sense of breaking news and make informed decisions about the future as we continue to scale our platform.' In 2024, over $8 billion in predictions were made on Polymarket across politics, current events, pop culture, and more. The news comes nearly a year after Polymarket partnered with AI-powered search engine Perplexity to display news summaries of events. This happened around the same time that Polymarket partnered with Substack to allow writers to embed prediction data from its platform into their posts.

Rayobyte Unveils AI-Powered Web Scraping API: Turning Public Web Data Into Business Gold
Rayobyte Unveils AI-Powered Web Scraping API: Turning Public Web Data Into Business Gold

Associated Press

time07-05-2025

  • Business
  • Associated Press

Rayobyte Unveils AI-Powered Web Scraping API: Turning Public Web Data Into Business Gold

Lincoln, NE - May 7, 2025 - Rayobyte, a leading innovator in ethical and large-scale data collection, is proud to announce the official launch of its Web Scraping API, a next-generation tool designed to empower businesses with the ability to collect public web data at scale and transform it into meaningful, actionable insights using advanced AI and machine learning technologies. Built on the philosophy that data is the new gold, Rayobyte's Web Scraping API gives companies the power to mine, refine, and capitalize on publicly available information across websites and social media platforms, in real time and without the usual complexity of traditional scraping tools. 'We're not just helping businesses extract data, we're helping them understand it,' says Neil Emeigh, Founder and CEO of Rayobyte. 'Our Web Scraping API isn't just fast and scalable. It's smart. By integrating AI and machine learning directly into the scraping process, we make it easier than ever to transform massive volumes of raw data into clear insights that drive smart decisions.' Turning Raw Data into Refined Strategy The new API delivers a streamlined pipeline from data extraction to data intelligence, starting with smart scraping capabilities that navigate complex site structures and bypass anti-bot systems, ethically and reliably. Once collected, AI-driven preprocessing tools clean and organize the data to remove noise, outliers, and inconsistencies, making it analysis-ready from the start. 'Think of it like mining for gold,' explains Emeigh. 'Web scraping pulls in raw material – tons of data from across the internet. But that material only becomes valuable when it's refined. Our system polishes it through preprocessing, analysis, and predictive modeling.' From Insight to Prediction The Web Scraping API goes beyond basic data collection by laying the groundwork for sophisticated predictive modeling. Using historical and real-time data, businesses can identify trends, forecast outcomes, and tailor strategies in areas like marketing, product development, customer engagement, and more. With the addition of AI, the API automatically adapts to changing site structures, selects relevant content, and supports large-scale aggregation, unlocking insights that were previously impossible to access at scale. Built for Interdisciplinary Teams Rayobyte's Web Scraping API is also designed with interdisciplinary collaboration in mind. Whether it's marketers tracking brand sentiment, analysts forecasting sales, or data scientists building AI models, the tool provides clean, comprehensive datasets that support every stage of the decision-making process. 'Each discipline brings a unique perspective and skill set to the table,' says Emeigh. 'Web scraping plays a foundational role in this collaboration by efficiently gathering large volumes of data from across the internet, allowing teams to focus on analysis and strategic decision-making.' Key Features of the Rayobyte Web Scraping API: AI & ML Integration for smart extraction and preprocessing Scalable Infrastructure for high-volume public data collection Customizable Output Formats for seamless analysis and integration End-to-End Automation, from scraping to preprocessing to insight generation For more information about the Rayobyte Web Scraping API, visit: . About Rayobyte Rayobyte is a trusted leader in proxy solutions and data infrastructure, empowering organizations to access, collect, and analyze public web data at scale. With a focus on ethics, performance, and transparency, Rayobyte provides the tools businesses need to turn data into decisions—and decisions into growth. Socials: X , YouTube, LinkedIn Media Contact Company Name: Rayobyte Contact Person: Michael Woo Email: Send Email Phone: +1 800-484-0229 Country: United States Website: Source: Brand Featured

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