IoT Data Visualization for Corporate Finance Business Intelligence

Debashree Kabi | August 3, 2022 | 1778 views | Read Time : 03:36 min

IoT Data Visualization
The evolution of internet-based market models has changed the way businesses operate. Present-day businesses know that data visualization in business intelligence is integral to competitive success. Therefore, businesses are now expanding their data and intelligence retrieval capacities. As a result, IoT (Internet of Things) data visualization is gaining popularity among industrialists and researchers across various disciplines.

In corporate finance, IoT-based efficient data visualization analyses data from multiple sources with the help of corporate analytics management tools and manages data quality for business intelligence to reduce the risk of leaks.


Impact of IoT Data Visualization on Corporate Finance BI

Data is everywhere— right from a customer's first visit to your company’s website until he signs out, all the behavioral patterns and data are tracked. All this data becomes useless unless it is utilized for a particular purpose.

Analyzing this data to predict future trends is one of the significant benefits of smart data visualization tools and technologies. It helps to slice and dice the data gained from different sources of different complexity levels to the minute granular level. Business intelligence utilizes these insights and the existing database to run risk analysis.

It gives an overview of your financial performance and the risks and exposures it faces. And if you switch the KPIs at the center of any dashboard, your entire team can instantly access the most important and relevant data.

IoT data visualization can measure big data on customers more efficiently, allowing organizations to add value to their customers. Customized tools will analyze your customers’ data and produce reports according to specific customer needs to help you get a deeper insight. Corporations can also utilize this data to better understand their competitors’ benchmarks.


Customizable IoT Data to Store Millions of Data Points in One Place

IoT collects millions of data from various complex sources. The data visualization dashboard contains multiple widgets that convert this data into various forms, such as line graphs, geographical maps, bar charts, pie charts, gauges, heat maps, etc.

This information, transmitted into multiple visualizations, helps organizations to unlock every piece of data into a valuable asset.


The Benefits of Using IoT Data Visualization

Businesses can collect, analyze and monitor a variety of data using IoT, such as internet usage data, video surveillance data, mobile app usage, and social media. It helps businesses to design products and provide personalized value-added services to drive better consumer engagement. Here are some key benefits IoT data visualization offers:
  • Unlock multiple insights across various verticals
  • Addressing important financial concerns proactively
  • Combination of multiple data sources into a single insightful dashboard
  • Multi-layered visual data.
  • Combines new data with the existing data to analyze new business opportunities.
  • Better performance on IoT data flow.
  • Analyze multiple data correlations in real-time
  • Improved Collaboration
  • Well-coordinated and efficient performance.
  • Cost reduction
  • Accurate data interpretation
  • Mitigate risk factor
  • Better decision making


Conclusion

Hands down, IoT data visualization intelligence in a company’s business operations will lead to better decision-making. But, before you choose an IoT data visualization tool for your business, you should know what kind of data you need to analyze and if you need any additional historical data. Because IoT services offer data visualization tools and techniques to analyze and monitor the data accordingly to predict future trends. So, it’s important to identify the goals before selecting a tool for your organization.

Spotlight

SolGenie

SolGenie Technologies, headquartered in Norcross, Georgia is an IT Consulting firm, providing a broad range of services and solutions in Enterprise Applications, Software Product Engineering, Outsourcing, and Staffing Solutions.

OTHER ARTICLES
ENTERPRISE IOT

What Impact Will Data Management Have on Your IoT Strategy?

Article | July 15, 2022

For businesses to grow, they must be armed with the right technology and implement the right strategies to get a high return on their investments. With an IoT strategy, you can successfully make sense of the high volumes of data generated. IoT is about having devices with sensors communicate with other devices over the internet and share real-time data or parameters to maintain healthy system processes. Sharing and transferring data in real time over the cloud creates a lot of data that needs to be carefully managed. Not having a streamlined method to control and manage the volume of data to capture, send, transmit, and receive over the cloud poses many space constraints as the data piles up quickly. Furthermore, deciding what data to keep and what to discard, how long you need the data, and for what purpose are all critical. Some standard IoT devices include sensors, lights, alarms, and cameras that a smartphone can control. Learn about the importance of data management in establishing an IoT framework below. The Top Reason for Establishing an IoT Framework Needs Data Management Learning from past data trends to make future decisions in an IoT framework is critical. Data management acts as a layer between the IoT devices generating the data and the software accessing the data for analysis and services. It helps review, analyze, and navigate the massive amounts of structured and unstructured data. Defining which actions trigger responses to create data in your process is necessary to monitor your product and services and to keep your customers satisfied. In an IoT framework, managing the large amounts of data that are generated and collected means learning from the past and predicting what will happen in the future. Why is Data Management for the IoT Framework Crucial for Medium and Large Enterprises? Creating a better product is essential to add more value to your product offerings and avoid recalls, keeping your brand reputation at stake. The more data, the deeper the analysis, and the more refined the product, the greater the need to manage large amounts of data efficiently. The future of IoT data management is promising when it comes to improving all aspects of your business processes, mainly controlling the automation and manufacturing processes and software triggers. Check out the in-depth benefits of data management in IoT. Data management in IoT helps conduct a field test of your IoT products before deployment. Improve the uptime of your business production lines and equipment. Perform seamless decision-making for planning, scheduling, and execution systems to meet the changing customer and market demands using accurate and current data. Data management helps efficiently deploy IoT solutions such as enterprise resource planning (ERP), enterprise asset management (EAM), and manufacturing execution systems (MES) in manufacturing businesses. Data management helps remote monitoring of automation systems and robotic systems in industrial IoT needs current data and management. Improve production flexibility and responsiveness by welcoming smart manufacturing using IoT data management. When it comes to the data management of IoT devices, different types of data management systems take care of structured and unstructured data. 8 Data Management Systems for Your Enterprise IoT Devices IoT device management means registering, organizing, monitoring, and remotely managing IoT-connected devices at scale. Various cloud architectures with different data management systems help with efficient IoT device management. In addition, equipment data, sub-meter data, and environmental data help track the performance of your IoT devices through IoT data collection. Let's find out how data management systems for IoT devices would help develop an IoT strategy for your large enterprise. IoT gateway device management involves many steps in keeping your operations healthy and maximizing uptime. These are provisioning, authentication, configuration, control, monitoring, diagnostics, software updates, and maintenance. In addition, data management systems aim to make data available for analysis in the long term. The different data management systems are as under: Querying Production Collection Aggression/Fusion Delivery Pre-processing Storage, updating and archiving Processing or analysis. These data management systems capture, organize, store, retrieve, and analyze data when required. Sorting out the data management in IoT will initiate your internet of things database scalability. An IoT data lifecycle is built around the data management systems in the data flow, which acts as guidelines or checkpoints for a smooth data flow across your IoT platform. Let us unfold them below. Seven Guidelines for Cost-Effective IoT Data Management • Querying: Accessing and retrieving data for temporary monitoring. For example, you could ask IoT devices or sensors for data in real time to learn more about trends and patterns. • Production: Sensing and transferring data by the "things" or IoT devices in an IoT framework is the data production phase. Pushing the data to the cloud network and the IoT database servers and reporting it to the interested parties. This rich data has different formats such as audio, video, or image content, and is time-stamped and geo-stamped. • Collection: Collecting and retrieving data for a predefined time interval and sharing it with the governing components within the gateways is a part of the collection. Filtering out valuable data and compressing it accordingly helps seamless data transfer. It is also a part of data collection. • Aggression or fusion: Part of the aggression is real-time data transmission across the network to increase the rate of data streaming over the limited bandwidth. It pulls together information from different points of contact and reduces the amount of information that needs to be stored and sent. • Delivery: Collating the data from multiple touch points across the IoT framework and summing it up for the final responses is a part of the data delivery management system. Making data ready for permanent data storage is also a part of it. • Preprocessing: Removing redundant, missing, and incomplete data and making all the data unified is a part of preprocessing. Data cleaning is also one of the preprocessing methods applied to data mining. • Storage, Update, and Archiving: Storing data in an organized way for long-term offline usage or big-data systems is a part of the storage data management system. It can be decentralized or centralized as per the required capabilities. • Processing or Analysis: Retrieval of stored packets of data accessed for an efficient analysis is a part of data processing or analysis in a data management system. Whenever handling large amounts of data, an efficient data management system will solve numerous problems concerning your IoT strategy, as discussed above. Find out exactly what can keep you from implementing IoT. 5 Growth Challenges in Data Management for IoT Technology High Initial and Ongoing costs: Upgrading the hardware and software infrastructure that is already in place, hiring IoT-trained staff, and building an IoT infrastructure will all require upfront and ongoing costs. Vulnerability: Your IoT security strategy is a critical aspect of your IoT platform strategy. Multiple data points for structured and unstructured data captured, transmitted, stored, and retrieved by software come with security risks. Procuring Quality Hardware: Finding compatible hardware for your requirements and building an infrastructure around them can take a while regarding decision-making for scalability. In addition, hardware must remain supportive of the quick adoption of future software innovations. Installation and Upkeep of Hardware Infrastructure: Setting up a complex IoT strategy with the implementation of IoT data management, infrastructure, security, and more takes time and expertise. One of the other big worries is keeping the hardware infrastructure in good shape so that security can't be broken. Constraints on Scalability and Agility: The humungous IoT data traffic poses a severe concern for appropriate control of the data storage, retrieval, analysis, monitoring, and everything aligned with IoT data management. Also, the fact that IoT data doesn't last as long as other types of data is a risk to the way data flows and is collected. Now, let us figure out how to implement IoT that aligns with your business objectives. How to Implement IoT in Line with Your Business Goals A complete analysis of your immediate and long-term business objectives is critical as it helps decide which data to keep and which to discard after how much time. Every byte of data you hold and analyze comes with a cost for storage, retrieval, and security, which can be a barrier to implementing IoT for your business. Identifying IoT data collection helps you align your IoT implementation strategy with your business objectives. Here are a few ways to address your implementation of IoT. Consider the use cases of IoT data management as per the processes involved in your business. Implement security protocols for encryption and restricted access as per the type of business data. Organize training for the existing workforce and hire skilled professionals in IoT. Understand your business's data requirements, including the data collection process. Allow enough budget for IoT infrastructure and resources. Consider the design and development of the product as per the customer's behavior. Consider the impact of the environmental conditions affecting your business. Measure real-time performance metrics using a suitable IoT sensor to streamline your process. Take automated decisions with the help of AI once IoT sensors recognize the performance gaps. Choose the right IoT platform that defines how you communicate and handle data. Understand that IoT implementation is a complex process and needs commitment. Collect only the important data and statistics for a smooth workflow and to lower the cost of putting IoT into place. Taking into account where your storage and production lines are located, choose the best ways to gather, organize, and analyze your data. Use cold path analytics for the long term and hot path analytics for real-time data storage. Building infrastructure with scalability in mind will help small businesses grab market share quickly and efficiently. As a result, medium-sized enterprises will find prominence in their industry. Using data visualization in business intelligence allows for rapid optimization of your IoT devices and for controlling data management costs in the long run without negatively impacting performance. Explore more about IoT data visualization down below. Role of Data Visualization in IoT for Business Intelligence With IoT data visualization, you can optimize business processes by applying visualization business intelligence to get your business ready to scale. Discover the role of data visualization in your IoT strategy. Make sense of the data you've collected or saved. Patterns and trends should be recognized. Check the data for inconsistencies and errors. The output should then be visualized over time for analysis and monitoring. IoT infrastructure and devices improve performance and streamline the IoT data flow. Analyze real-time data correlations across multiple business verticals using the IoT communication platform. Make future decisions based on the data captured in the past. Get actionable insights on customer behavior and Identify the factors impacting your business. Once you identify the gaps in business processes, you can make changes to the process and further improvise. Creating an optimized workflow and detecting errors and faults in a process early are the primary goals of data management in an IoT strategy. Tackling vulnerabilities in data security and data redundancy helps the cost-effective implementation of IoT for small businesses, opening avenues for scalability. With IoT data management, you can also optimize your products to make customers happier and get a bigger share of the market, which is great for your business's growth. Summarizing With secure access control, encryption, software updates, endpoint security, and communication protocols in place, the relentless power of data visualization for analyzing and monitoring the captured data has proved to be unmatched. Bringing resilience and giving a rapid boost to the scalability of your medium and large enterprises is now becoming a norm with organized IoT data management. FAQs: • What is the most significant benefit of IoT? IoT helps devices or sensors report real-time data for smooth interconnected production operations. In addition, IoT keeps healthy functions throughout and minimizes the turnaround time for troubleshooting and maintenance. • What are the three types of IoT? Depending upon the needs from time to time, the three types of IoT include short form, medium form, and long form. The short form meets immediate needs, the medium form meets future needs, and the long form keeps the system running smoothly. • How does data analytics help IoT? Effective process optimization is possible by analyzing the data generated in an IoT framework. It helps boost efficiency, and connectivity, cut costs and unlock scalability.

Read More
ENTERPRISE IOT

The IoT Smarthome Battlefield: A Jointly Endorsed IoT Standard for the Home Area Network

Article | July 13, 2022

Google announced that together with Amazon and Apple (the big 3 smart home players) they will work on the adoption of a joint wireless IoT standard for the smart home. This new connectivity standard is designed to make it easier for smart home products to work with each other.In the statement, Google said they were “joining Amazon, Apple and others to create Connected Home over IP, a new independent working group managed by the Zigbee Alliance (separate from the existing Zigbee 3.0/Pro protocol). We’re contributing two of our market-tested and open-source smart home technologies, Weave and Thread. Both are built on IP and have been integrated into millions of homes around the world.”

Read More
ENTERPRISE IOT

Smart Home Technologies: Zigbee, Z-Wave, Thread, and Dotdot

Article | June 2, 2022

If you own smart home products like SmartThings or Nest, you may be familiar with some of the technologies behind them. Network protocols like Zigbee and Z-Wave dominate the industry, while Thread, a younger network standard, is gaining headway as a strong contender in the battle for market share. Although this may seem like your typical rivalry between industry leaders, the competitive landscape is more complicated than selecting one over another.

Read More

12 Industrial IoT Companies You Should Know

Article | February 10, 2020

As the industrial IoT market continues to expand at rapid rates, companies across the world are reaping the benefits. Utilizing this growing network of tools and systems, businesses have been able to prevent costly downtime, decrease product development costs, enhance customer engagement and satisfaction and acquire and implement intelligent data for strategic planning purposes.The potential benefits are seemingly endless, and the list of organizations that are embracing this industrial revolution is continuing to grow, so let’s highlight some of the main IIoT companies you need to know for a number of the most common IIoT use cases.

Read More

Spotlight

SolGenie

SolGenie Technologies, headquartered in Norcross, Georgia is an IT Consulting firm, providing a broad range of services and solutions in Enterprise Applications, Software Product Engineering, Outsourcing, and Staffing Solutions.

Related News

ENTERPRISE IOT

Friendly IoT Platform to Manage Tens of Millions of IoT Devices

Friendly Technologies | November 25, 2022

Friendly Technologies, the IoT and Device Management company, enters the realm of smart utilities with multiple new Internet of Things projects spanning the globe. Alongside the recent upgrade to Friendly IoT version 6.3.0 for telcos and IoT enterprises worldwide, Friendly Technologies will now manage tens of millions of IoT-enabled smart meters for water, gas, and heating utilities. Friendly IoT version 6.3.0 helps Friendly Technologies'' customers introduce new projects and verticals with ease. Friendly's new Application Enablement Platform combined with the Friendly One-IoT device management software allows organizations to manage devices, collect and analyze data, implement automated workflows, integrations, multi-tenancies, access control, create unique dashboards, and more - all in one user-friendly interface. The E2E device management platform from Friendly Technologies also stands out with its scalability - able to scale en masse without skipping a beat, as well as the capability to be deployed on-cloud or on-premise. Friendly Technologies began its journey in 1997 and currently has over 250 active customers worldwide. Some of the most significant communication service providers, including Tier-1 telecommunication and IoT-enabled businesses, use the Friendly IoT Device Management platform to provision, manage, and monitor their devices. It is an active member of the Broadband Forum and the Open Mobile Alliance, always staying future-ready. In addition to provisioning, management, and monitoring of devices, the Friendly IoT Management platform comes with robust security features and integrations with third-party tools, such as Microsoft Azure IoT and others.

Read More

ENTERPRISE IOT

Robustel 5G IoT EDGE Computing Gateway certified by Microsoft Azure and Amazon Web Services (AWS)

Robustel | November 23, 2022

Robustel's latest IoT device the EG5120 5G Edge Computing Gateway is now listed in the Microsoft Azure certified device catalogue and also Amazon Web Services (AWS) IoT Greengrass. The EG5120 helps to seamlessly extend Azure & AWS based IoT cloud services and intelligence to the network edge, and allows customers using Azure and AWS to quickly & seamlessly deploy IoT applications in verticals including autonomous driving, smart cities, industrial IoT (IIoT), smart energy, robotics, and more. With Azure IoT and AWS IoT Greengrass, customers can securely connect, configure, manage, monitor and maintain edge devices and customize applications for field devices, including streaming analytics, machine learning, image recognition and other high-value AI applications that are deployed from the cloud to the edge for local execution, to dramatically reduce the time and cost of connecting various sensors and devices from the edge to the cloud. Features of the EG5120 Robustel 5G Edge Computing Gateway Cutting-edge (Release 16) 5G connectivity. Global cellular band coverage. High performance processor for running complex applications. 2 X RS232/RS485 serial ports for connecting to industrial devices. 2 X Digital Inputs (DI) and 2x Digital Outputs (DO) for simple monitoring and control. Dual SIM card slots for failover & redundancy. Wide operating temperature range, ideal for industrial applications. Linux Debian 11 (bullseye) based Operating System Support for Docker containers for rapid application deployment Access to more than 50,000 applications from the Debian repository. Access to Industrial VPN protocols like Wireguard, IPsec and OpenVPN. Full Modbus TCP and RTU support for industrial data collection. Robustel's management platform RCMS for effective management of large fleets of devices. About Robustel: Robustel are a Wireless IoT & WAN Edge solutions provider specialising in 5G, 4G/LTE & LPWAN devices, helping the enterprise in smart cities, transportation, smart water, energy and precision agriculture industry to deliver unbreakable connectivity by Robustel's hardware and cloud.

Read More

DEVICES

ironSource and Sensor Tower Partner to Unlock Growth for App Marketers

ironSource | November 24, 2022

ironSource a leading business platform for the App Economy, today announced its partnership with Sensor Tower, the leading source of enterprise-grade market intelligence for the digital ecosystem. By combining the keyword intelligence of Sensor Tower from across the market, with the campaign management and optimization capabilities of ironSource Luna, the partnership will create one place for app marketers to scale Apple Search Ads campaigns to drive incremental growth. ironSource Luna is the first to market with such a partnership with Sensor Tower. The companies currently offer two complementary solutions. Sensor Tower offers a rich selection of industry data points, including share of impressions by app, competitor keyword analysis, and top advertisers. ironSource Luna gives app marketers the ability to manage and optimize Apple Search Ads campaigns by aggregating campaign data from all sources, utilizing an efficient bid optimization algorithm, and editing campaigns in bulk. Currently, app marketers extract market data from Sensor Tower, analyze it to see which keywords they’re already bidding against, and then import new keywords into Luna. This platform partnership will streamline this process, by making Sensor Tower’s data instantly and continuously accessible directly within the Luna platform, unifying keyword mining with keyword management and optimization. “Continuously unlocking scale is one of the key challenges for marketers growing their app business. The best way to achieve scale with Apple Search Ads is to programmatically discover, test and optimize thousands of relevant keywords, and this partnership is a huge step in empowering marketers using Luna to do that,” explains Adam Stevens, VP Product at ironSource Luna. “Now, app marketers will be able to unlock new keywords and then seamlessly execute campaign adjustments in a fully automated way, all in one platform. We’re delighted to be the first app marketing platform to partner with Sensor Tower, helping app marketers to reach their full potential.” “Our ad and app intelligence products provide our customers with powerful insights into the market and competitors to help them grow with Apple Search Ads, Partnering with ironSource Luna will enable our customers to more seamlessly power real business success by connecting our insights with the ability to execute campaign adjustments to drive performance.” Greg Rosen, Chief Product Officer at Sensor Tower All ironSource Luna customers will have access to Sensor Tower’s keyword discovery data within the platform once they have connected Apple Search Ads as a channel in Luna. About Sensor Tower Sensor Tower is the leading, trusted source of enterprise-grade market intelligence and analytics software for the digital ecosystem. Its innovative performance, advertising, usage, and trend insights across digital devices enable firms from mobile-first app publishers to Fortune 500 companies and financial institutions to navigate and adapt in a rapidly evolving landscape. About ironSource ironSource is a leading business platform for the App Economy. App developers use ironSource's platform to turn their apps into successful, scalable businesses, leveraging a comprehensive set of software solutions which help them grow and engage users, monetize content, and analyze and optimize business performance to drive more overall growth. The ironSource platform also empowers telecom operators to create a richer device experience, incorporating relevant app and service recommendations to engage users throughout the lifecycle of the device. By providing a comprehensive business platform for the core constituents of the App Economy, ironSource allows customers to focus on what they do best, creating great apps and user experiences, while enabling their business expansion in the App Economy.

Read More

ENTERPRISE IOT

Friendly IoT Platform to Manage Tens of Millions of IoT Devices

Friendly Technologies | November 25, 2022

Friendly Technologies, the IoT and Device Management company, enters the realm of smart utilities with multiple new Internet of Things projects spanning the globe. Alongside the recent upgrade to Friendly IoT version 6.3.0 for telcos and IoT enterprises worldwide, Friendly Technologies will now manage tens of millions of IoT-enabled smart meters for water, gas, and heating utilities. Friendly IoT version 6.3.0 helps Friendly Technologies'' customers introduce new projects and verticals with ease. Friendly's new Application Enablement Platform combined with the Friendly One-IoT device management software allows organizations to manage devices, collect and analyze data, implement automated workflows, integrations, multi-tenancies, access control, create unique dashboards, and more - all in one user-friendly interface. The E2E device management platform from Friendly Technologies also stands out with its scalability - able to scale en masse without skipping a beat, as well as the capability to be deployed on-cloud or on-premise. Friendly Technologies began its journey in 1997 and currently has over 250 active customers worldwide. Some of the most significant communication service providers, including Tier-1 telecommunication and IoT-enabled businesses, use the Friendly IoT Device Management platform to provision, manage, and monitor their devices. It is an active member of the Broadband Forum and the Open Mobile Alliance, always staying future-ready. In addition to provisioning, management, and monitoring of devices, the Friendly IoT Management platform comes with robust security features and integrations with third-party tools, such as Microsoft Azure IoT and others.

Read More

ENTERPRISE IOT

Robustel 5G IoT EDGE Computing Gateway certified by Microsoft Azure and Amazon Web Services (AWS)

Robustel | November 23, 2022

Robustel's latest IoT device the EG5120 5G Edge Computing Gateway is now listed in the Microsoft Azure certified device catalogue and also Amazon Web Services (AWS) IoT Greengrass. The EG5120 helps to seamlessly extend Azure & AWS based IoT cloud services and intelligence to the network edge, and allows customers using Azure and AWS to quickly & seamlessly deploy IoT applications in verticals including autonomous driving, smart cities, industrial IoT (IIoT), smart energy, robotics, and more. With Azure IoT and AWS IoT Greengrass, customers can securely connect, configure, manage, monitor and maintain edge devices and customize applications for field devices, including streaming analytics, machine learning, image recognition and other high-value AI applications that are deployed from the cloud to the edge for local execution, to dramatically reduce the time and cost of connecting various sensors and devices from the edge to the cloud. Features of the EG5120 Robustel 5G Edge Computing Gateway Cutting-edge (Release 16) 5G connectivity. Global cellular band coverage. High performance processor for running complex applications. 2 X RS232/RS485 serial ports for connecting to industrial devices. 2 X Digital Inputs (DI) and 2x Digital Outputs (DO) for simple monitoring and control. Dual SIM card slots for failover & redundancy. Wide operating temperature range, ideal for industrial applications. Linux Debian 11 (bullseye) based Operating System Support for Docker containers for rapid application deployment Access to more than 50,000 applications from the Debian repository. Access to Industrial VPN protocols like Wireguard, IPsec and OpenVPN. Full Modbus TCP and RTU support for industrial data collection. Robustel's management platform RCMS for effective management of large fleets of devices. About Robustel: Robustel are a Wireless IoT & WAN Edge solutions provider specialising in 5G, 4G/LTE & LPWAN devices, helping the enterprise in smart cities, transportation, smart water, energy and precision agriculture industry to deliver unbreakable connectivity by Robustel's hardware and cloud.

Read More

DEVICES

ironSource and Sensor Tower Partner to Unlock Growth for App Marketers

ironSource | November 24, 2022

ironSource a leading business platform for the App Economy, today announced its partnership with Sensor Tower, the leading source of enterprise-grade market intelligence for the digital ecosystem. By combining the keyword intelligence of Sensor Tower from across the market, with the campaign management and optimization capabilities of ironSource Luna, the partnership will create one place for app marketers to scale Apple Search Ads campaigns to drive incremental growth. ironSource Luna is the first to market with such a partnership with Sensor Tower. The companies currently offer two complementary solutions. Sensor Tower offers a rich selection of industry data points, including share of impressions by app, competitor keyword analysis, and top advertisers. ironSource Luna gives app marketers the ability to manage and optimize Apple Search Ads campaigns by aggregating campaign data from all sources, utilizing an efficient bid optimization algorithm, and editing campaigns in bulk. Currently, app marketers extract market data from Sensor Tower, analyze it to see which keywords they’re already bidding against, and then import new keywords into Luna. This platform partnership will streamline this process, by making Sensor Tower’s data instantly and continuously accessible directly within the Luna platform, unifying keyword mining with keyword management and optimization. “Continuously unlocking scale is one of the key challenges for marketers growing their app business. The best way to achieve scale with Apple Search Ads is to programmatically discover, test and optimize thousands of relevant keywords, and this partnership is a huge step in empowering marketers using Luna to do that,” explains Adam Stevens, VP Product at ironSource Luna. “Now, app marketers will be able to unlock new keywords and then seamlessly execute campaign adjustments in a fully automated way, all in one platform. We’re delighted to be the first app marketing platform to partner with Sensor Tower, helping app marketers to reach their full potential.” “Our ad and app intelligence products provide our customers with powerful insights into the market and competitors to help them grow with Apple Search Ads, Partnering with ironSource Luna will enable our customers to more seamlessly power real business success by connecting our insights with the ability to execute campaign adjustments to drive performance.” Greg Rosen, Chief Product Officer at Sensor Tower All ironSource Luna customers will have access to Sensor Tower’s keyword discovery data within the platform once they have connected Apple Search Ads as a channel in Luna. About Sensor Tower Sensor Tower is the leading, trusted source of enterprise-grade market intelligence and analytics software for the digital ecosystem. Its innovative performance, advertising, usage, and trend insights across digital devices enable firms from mobile-first app publishers to Fortune 500 companies and financial institutions to navigate and adapt in a rapidly evolving landscape. About ironSource ironSource is a leading business platform for the App Economy. App developers use ironSource's platform to turn their apps into successful, scalable businesses, leveraging a comprehensive set of software solutions which help them grow and engage users, monetize content, and analyze and optimize business performance to drive more overall growth. The ironSource platform also empowers telecom operators to create a richer device experience, incorporating relevant app and service recommendations to engage users throughout the lifecycle of the device. By providing a comprehensive business platform for the core constituents of the App Economy, ironSource allows customers to focus on what they do best, creating great apps and user experiences, while enabling their business expansion in the App Economy.

Read More

Events