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Make better decisions based on data - With data science and real-time data

04/14/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Digitization has had a major impact on the way we work and make decisions. Businesses today have more data at their disposal than ever before, and using that data effectively is key to success. Data Science is a discipline concerned with extracting knowledge from data to make decisions and improve business processes. Real-time data, in turn, allows companies to make decisions based on current information rather than relying on past data. In this article, you'll learn how you can use data science and real-time data to make better decisions.

The importance of real-time data

Traditionally, companies rely on historical data to make decisions. But in today's fast-paced business world, the ability to access real-time data is critical. Real-time data is data that is immediately available and can be processed without delay. They can come from sensors, surveillance tools, social media, and other sources. The use of real-time data allows companies to react quickly to changes, identify trends and identify problems early. This leads to greater flexibility, agility and responsiveness.

Data science for better decisions

Data science is a process that involves the extraction of knowledge from data using mathematical and statistical methods and advanced technologies. Data science can help make better decisions by enabling companies to see complex data patterns and make predictions. By analyzing data, companies can gain valuable insights and make informed decisions. Data science can also help streamline business processes, reduce costs, and increase efficiency.

An example of using data science and real-time data is supply chain optimization. By using real-time data, companies can monitor the supply chain in real-time and react quickly to unforeseen events such as delays and bottlenecks. Data science can also help predict demand and optimize inventory planning for better supply chain efficiency and customer satisfaction.

Conclusion

In today's fast-paced business world, data science and real-time data are essential to make informed decisions and stay competitive. Businesses that invest in these technologies can gain a competitive advantage by responding quickly to change, streamlining processes, and increasing efficiencies.

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What is Google Performance Max?

04/12/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Google Performance Max is a Google Ads advertising option launched in February 2021. It is an automated advertising method based on Machine Learning that allows advertisers to serve their ads on various Google platforms, such as Google Search, Google Maps, YouTube, and others.

Unlike traditional Google ad campaigns that target specific audiences, keywords or websites, Google Performance Max uses machine learning algorithms to customize and optimize ads in real time to target audiences.

Advertisers only need to specify their budget and goal (e.g. lead generation or sales increase) and Google Performance Max takes care of the rest. Ads are automatically delivered on the most appropriate channels and at the best times.

Google Performance Max is considered a promising option for companies that do not have sufficient resources or experience in advertising, but still want to achieve maximum results.

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What is organic lead generation (OLG)?

04/06/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Organic lead generation (OLG) refers to the practice of attracting potential customers in a natural and non-paid way by creating content and offers that are relevant and interesting to them. Unlike paid lead generation, which involves placing ads to drive traffic to a website, organic lead generation uses strategies such as search engine optimization (SEO), content marketing and social media engagement to drive traffic to the website and attract potential customers. The goal is to generate high-quality leads by convincing potential customers of your products or services, rather than flooding them with advertising.
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More leads thanks to good storytelling - How to get into the media and win more customers

03/17/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Good storytelling can be a very effective way to generate leads and get more customers. Here are some tips on how you can use storytelling to get into the media and generate more leads:

Find your story: Identify a unique story that embodies your brand or company. This story should connect to your values and goals and be interesting and relevant to your target audience.

Define your target audience: Define your target audience and tailor your story to them. Make sure your story is appealing to your target audience and captures their interest.

Tell your story: tell your story in a creative and engaging way. Use images, graphics and videos to support your story and convey a clear message.

Use social media: Spread your story through social media channels such as Twitter, Facebook, LinkedIn and Instagram. Use the power of social media to get your story out there and reach a broader audience.

Press outreach: use press outreach to get your story in the media. Write a press release that conveys your story in a concise and engaging way. Build relationships with journalists relevant to your target audience and offer them exclusive insights and interviews.

Share success stories: Share success stories from customers or partners who have benefited from your brand or business. This can build potential customers' trust in your brand and increase the credibility of your story.

By using storytelling in PR and marketing, you can more effectively communicate your brand message and capture the interest of potential customers. A creative and engaging story can attract the attention of the media and target audience and help you generate more leads and attract more customers.

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Find applicants - How to use social media marketing for your HR search for new talent, specialists and trainees

03/16/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Social media marketing can be a very effective way to find and attract applicants for your job openings. Here are some tips on how to use social media in your HR search for new talent, specialists and trainees:

Choose the right platforms: Every social media platform has its own strengths and weaknesses. For example, LinkedIn is a great platform for finding professionals and talent, while Instagram or TikTok may be better for finding trainees. Identify the platforms where your audience is most likely to hang out.

Create a professional presence: No matter what platform you use, make sure your business profile is professional and attractively designed. Use consistent branding elements and showcase your work culture, benefits, and values.

Leverage targeted ads: Social media ads can help you reach your target audience more accurately. You can show ads that target specific demographics, interests, or locations.

Use relevant hashtags: Hashtags can help make your posts visible to people searching for specific topics. Use relevant hashtags to increase your reach and attract potential applicants.

Share content that reflects your work culture: Publish posts that show your employees, work environment and company culture. This allows potential applicants to gain insight into your company and get a better idea of ​​whether they fit into your organization.

Participate in discussions: Being active in groups or forums on social media platforms can increase your reach and position yourself as an expert in your field. This can attract potential applicants and position your company as an attractive employer.

Use video content: Videos can be a very effective way to engage potential applicants and get them interested in your job openings. Use videos to show your work environment, your people, and your company culture.

Overall, social media marketing is an important part of any modern HR search. By following these tips, you can engage and attract potential applicants in ways that traditional HR search methods cannot.

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