Connect with us

Odysseynews Community

How data quality tools can improve the roadmap for your business?




Want create site? Find Free WordPress Themes and plugins.

Unless you have been operating a business in a niche without any digital aspect, you have heard of data-driven processes. This is simply the ability to collect, leverage, and gain valuable insight into your operations and customer interactions so you can compete and grow profits in today’s marketplace. The reason this is so critical is because that is what everyone else is doing. You cannot remain competitive if you have not embraced some form of data collection and analytics.

A critical feature of this process is data quality. You must   be able to trust and rely on the data you collect to gain any kind of value for the future. That requires strong data quality management. The problem is that those who have a lack of data quality or the ability to properly manage such frameworks cannot benefit at the necessary level to compete.

What is Data Quality?

At its core, data quality is all about ensuring you have the correct information to conduct decision-making. That requires specific contributing factors like:

  • Accuracy: Is the data collected reflecting the actual information used in decision-making? Inaccurate data leads to problems and poor outcomes because you are relying on information that may not be relevant to your decisions. If you think your demographic has people in their 50s, but you use data from people in their 20s, you will have poor marketing.
  • Completeness: Are there any gaps in the information you are gathering? If you issue a customer survey with frequent skipped questions, your data is incomplete, and you may not gain the insights necessary for future promotions.
  • Relevancy: Does the data being collected have anything to do with your operations? In general, a business that sells lawn equipment probably doesn’t need data about newborn behaviors in the American household.
  • Validity: Is your data in the correct format for analysis? Date and time stamps are excellent examples of this contributing factor.
  • Timeliness: How recent has the data been collected? You do not want to respond to a market trend based on 5-year-old data.
  • Consistency: Are all of the data points the same across all your databases or sets? Without consistency, different users and teams may be operating under various assumptions that may not be true.

How to Properly Engage in Data Quality Management?

Luckily there are quite a few services and options for modern data quality management. This includes data quality tools that are streamlined for specific niche uses and parameters. These can include things like:

  • Unified Data Platforms: The goal is to create a single source of consolidated information that tracks, manages, reports, and gains insight into the different data being collected and served. This alleviates many of the data fatigue issues in organizations by simplifying the entire process.
  • Specialized Data Quality Tools: Here, the emphasis is placed on automation using tools that profile, match, monitor, and allow for bespoke metadata management. There are various options according to your industry and niche focus.
  • Data Quality Services: Of course, if you would rather turn the entire operation over to a third party, there are plenty of vendors willing to take on that role. These tend to be highly specialized and experienced providers with transparent guidelines to ensure a solid data quality framework.
  • Applications with Embedded Data Quality: By embedding safeguards into the data quality lifecycle of an application, you are empowered to manage your workflow far more efficiently. There may be some initial setup challenges, but in the long run, you will experience greater insight with fewer compliance issues because of the checks in place.

What are the Common Challenges to Maintaining Data Quality?

The velocity at which data management adoption by major industries is causing issues in the long-term insight and decision-making capabilities of analytics and tools. While the value of the data being collected is exponential, so also are the errors that can be easily made without a proper data quality framework.

A good example of this is data consistency. When your business does not have consistent data available to internal or external sources, you cannot build the trust and reliability needed to improve efficiency and profitability. There is a lack of enterprise programs to drive consistency, even though this is a critical aspect of any data quality framework. Every single decision made should reflect the driving forward toward your business goals and mission.

Again, we see the various timelines of digital transformation in the way data is managed through an enterprise. Take, for example, data silos. If you want to make valuable decisions about your organization for the future or in response to the market, you need access to the relevant information. Many organizations that utilize big data or business intelligence have data silos that separate specific groups of information from one another. This is in an effort to organize and respect the accuracy of data, but it is also preventing stakeholders from making critical decisions.

Sometimes the issue is a business does not know what it does not know. Whenever domain expertise is constrained to only specific fields of knowledge, the ability to cross-reference or create relevant connections is limited. This could be highly detrimental to the flexibility of the internal business process and the ability to make innovative decisions for the external customer and market pressures.

Finally, a lack of automation will inhibit modern data quality management. Simply put, there is too much data out there to manage effectively without the use of some form of automation. If you cannot streamline this process, you will fall under the wave of data being collected and not be able to move forward.

What is the Data Quality Lifecycle?

The best way to ensure you have quality data being collected and used for decision-making is to put in place a data lifecycle that accounts for the checks and balances needed. While each lifecycle can be easily modified to fit your specific field or niche business, a general outline would be:

  • Data Profiling: This is how your data is examined and reviewed to remove any potential errors. You are creating summaries of data based on metadata and insights that will point out any data quality issues.
  • Classification: With verified data, you can begin to organize information into different categories, so it is easier to retrieve, manage, and secure according to the formal rules and policies of your business.
  • Rules & Validation: You must be able to place your data into the correct context using consistent formats and accurate representations to ensure quality. This could be anything from patient profile data at a hospital to ensuring an image is in the correct database column.
  • Cleansing: Here, we can eliminate duplicates, faulty data, or anything else that could contaminate our analytics, insights, and decision-making (misspelled words, blank fields, etc.)
  • Observability: Finally, we are able to view our data and gain insight into any data quality issues now that we are near the end of the cycle. This allows us to integrate any new rules or systems to eliminate unforeseen or unwanted errors.

Data Quality Management is Critical to Decision Making

Data quality drives the actions you will take in your day-to-day operations. If you act on information that is not relevant or accurate to your business, you risk losing out on valuable opportunities or end up making critical errors that could result in significant losses.

That is why it is critical you contact us at NextPhase to help solve your data management challenges. We have spent years perfecting our data quality management tools and frameworks to ensure your information is maintained correctly. With our tools, we are able to help you leverage incredible insights into your data so you can make real-time, evidence-based decisions that spur future growth. Reach out today and schedule a consultation with our expert team to improve your data quality systems.


Did you find apk for android? You can find new Free Android Games and apps.
Continue Reading

Odysseynews Community

Appinnovix – Mobile App Development Agency




Want create site? Find Free WordPress Themes and plugins.

Appinnovix, we are a Mobile App Development Agency that provides a range of services to help businesses succeed in the digital world. We specialize in web development, android, iOS, Custom app development, and digital Marketing. We have a dedicated Team in India and Our Sales Team is available in the UK, USA, Canada, and UAE. At Appinnovix, we’re committed to providing high-quality services that meet your unique requirements. We combine top-notch expertise with a customer-focused approach to deliver cost-effective solutions for your projects. Let us help you succeed in the digital landscape.

Did you find apk for android? You can find new Free Android Games and apps.
Continue Reading

Odysseynews Community

What is The Difference Between Branding and Digital Marketing?





Want create site? Find Free WordPress Themes and plugins.

In the dynamic business and marketing space, two fundamental concepts often come to the forefront:

  • Branding.

  • Digital marketing.

Though related, these concepts are distinct in their approach and purpose. Let’s delve into the nuances that set them apart.


Branding is the foundation of your business’s identity. It encompasses your company’s core values, mission, and unique selling propositions. This is what sets you apart from competitors. Think of branding as the personality of your business. It’s reflected in your logo, color scheme, and how you communicate with your audience.


Branding is akin to crafting a brand’s essence, moulding its identity, personality, and consumers’ perception. It’s the art of shaping the overall image, values, and emotional resonance linked to a brand.

But, branding is the tactic through which you demonstrate yourself. Your branding strategy decides how people perceive you in this online world.


Branding hones in on creating and nurturing a robust, recognizable brand identity.

This encompasses defining the brand’s:

  • Mission.

  • Values.

  • Voice.

  • Visual elements (like logos and colour schemes).

  • Unique selling propositions (USPs).

Long-Term Perspective

Branding is a patient, long-term strategy dedicated to forging trust, loyalty, and recognition over time. It involves weaving a consistent, seamless brand experience across all touchpoints, whether online or offline.


The toolkit of branding comprises brand positioning, brand messaging, brand storytelling, brand values, brand equity, and brand guidelines. Together, these elements construct the very essence of a brand.


The ultimate objective of branding isn’t confined to immediate sales. Rather, it’s about laying the foundation for a robust and positive brand reputation that resonates with the target audience. It’s about fostering enduring brand affinity.

Now that you know about branding – it’s time to focus on digital marketing.

Digital Marketing

On the other hand, digital marketing is the active promotion of your business through online channels. It involves strategies and tactics to connect with your target audience, drive traffic to your website, and convert visitors into customers. Digital marketing encompasses various methods, including social media, email, search engine optimization (SEO), pay-per-click advertising, and content marketing.


Digital marketing, on the other hand, unfurls its banner in the digital landscape, leveraging various online avenues, platforms, and technologies to promote and advertise products or services.


Digital marketing is laser-focused on product or service promotion, advertising, and distribution through digital channels such as websites, social media, email, search engines, and online ads.

Short-Term and Long-Term

Digital marketing exhibits versatility. It can encompass quick, results-driven campaigns like paid advertising or email marketing, as well as long-term strategies such as content marketing and search engine optimization aimed at achieving specific marketing goals.


The toolkit of digital marketing boasts a variety of tools – online advertising, social media marketing, content marketing, email marketing, search engine optimization (SEO), pay-per-click (PPC) advertising, affiliate marketing, and more. These are wielded to reach, engage, and convert digital audiences.


Unlike branding’s long-term perspective, digital marketing sets its sights on immediate and quantifiable results. It’s all about driving metrics like website traffic, lead generation, sales, or conversions. Data-driven analysis and optimization are its closest allies.

Here are Some Other Differences between Branding and Digital Marketing

Digital marketing promotes your business’s identity online, while branding defines your business’s identity.

Branding is key to effective digital marketing, allowing you to connect with and convert your target audience online.


Branding: The primary purpose of branding is to establish and reinforce your business’s identity, fostering trust and recognition among your audience.

Digital Marketing: Digital marketing aims to attract, engage, and convert potential customers by leveraging online platforms and strategies.


Branding: It consists of visual elements like logos, typography, and colour schemes, as well as intangible elements like brand values, mission, and voice.

Digital Marketing: It involves specific tactics such as social media posts, email campaigns, SEO-optimized content, and online advertising.


Branding: Building a strong brand is a long-term endeavour that evolves gradually over time.

Digital Marketing: Digital marketing campaigns can produce more immediate results and can be adjusted or scaled up as needed.


Branding: Success in branding is often measured through surveys, customer feedback, and long-term brand recognition.

Digital Marketing: Success is quantifiable through metrics such as website traffic, click-through rates, conversion rates, and ROI.

Strategy Integration

Branding: Branding is the foundation upon which digital marketing campaigns are built. Effective digital marketing often relies on a strong, consistent brand identity.

Digital Marketing: Digital marketing tactics are used to promote and reinforce the brand’s identity and messaging.

End Note

Can branding and digital marketing go hand-in-hand?

Branding and digital marketing, like peanut butter and jelly, complement each other.

When your branding is strong, digital marketing becomes easier. It helps you stand out online.

For instance, your brand’s colours and logo instantly make your social media posts recognizable.

Digital marketing spreads your brand message far and wide. It’s like shouting from rooftops, but online.

Together, they build trust and attract loyal customers. So, remember, branding and digital marketing are a dynamic duo!

Did you find apk for android? You can find new Free Android Games and apps.
Continue Reading