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SEO: fix 404 redirects, sitemap cleanup, canonical fix, internal links

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- .htaccess: 301 redirect data-analytics-companies-london-top-providers → -compared
- .htaccess: 301 redirect gdpr-compliance-web-scraping-uk-guide → web-scraping-compliance-uk-guide
- sitemap.xml: remove redirecting /services/data-analytics entry
- sitemap.xml: remove duplicate real-time-analytics-streaming (2025) entry
- sitemap.xml: add locations/london, /manchester, /birmingham pages
- real-time-analytics-streaming.php: canonical → real-time-analytics-streaming-data (2026 version)
- data-analytics-companies-london-top-providers-compared.php: internal link to churn article
- python-data-pipeline-tools-2025.php: internal link to churn article
- real-time-analytics-streaming-data.php: internal link to churn article
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2026-02-20 11:00:23 +00:00
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commit a26f6632c7
6 changed files with 33 additions and 16 deletions
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2
blog/articles/data-analytics-companies-london-top-providers-compared.php
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@@ -827,7 +827,7 @@ $modified_date = "2025-08-08";
<div class="faq-item">
<h3>How long do typical analytics projects take?</h3>
<p>Project timelines vary significantly: analytics strategy (4-12 weeks), BI implementations (3-9 months), predictive analytics (2-6 months), and full data platform builds (6-18 months). Agile approaches typically deliver value in 2-4 week sprints.</p>
<p>Project timelines vary significantly: analytics strategy (4-12 weeks), BI implementations (3-9 months), predictive analytics (2-6 months), and full data platform builds (6-18 months). Agile approaches typically deliver value in 2-4 week sprints. For a deeper look at predictive timelines in practice, see our guide on <a href="/blog/articles/predictive-analytics-customer-churn">predictive analytics for customer churn reduction</a>.</p>
</div>
<div class="faq-item">

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blog/articles/python-data-pipeline-tools-2025.php
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@@ -114,7 +114,7 @@ $breadcrumbs = [
<li><strong>DataOps Integration:</strong> CI/CD practices and infrastructure-as-code approaches</li>
</ul>
<p>The modern data pipeline tool must balance ease of use with enterprise-grade features, supporting everything from simple ETL jobs to complex machine learning workflows.</p>
<p>The modern data pipeline tool must balance ease of use with enterprise-grade features, supporting everything from simple ETL jobs to complex machine learning workflows, including <a href="/blog/articles/predictive-analytics-customer-churn">customer churn prediction pipelines</a>.</p>
</section>
<section>

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blog/articles/real-time-analytics-streaming-data.php
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@@ -576,7 +576,7 @@ groups:
<ul>
<li><strong>Personalization:</strong> Real-time recommendation engines</li>
<li><strong>Inventory Management:</strong> Dynamic pricing and stock optimization</li>
<li><strong>Customer Analytics:</strong> Live customer journey tracking</li>
<li><strong>Customer Analytics:</strong> Live customer journey tracking and <a href="/blog/articles/predictive-analytics-customer-churn">real-time churn prediction</a></li>
<li><strong>A/B Testing:</strong> Real-time experiment analysis</li>
</ul>

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blog/articles/real-time-analytics-streaming.php
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@@ -7,7 +7,7 @@ $article_title = "Real-Time Streaming Analytics: 5-Step Pipeline Guide (2025) |
$article_description = "Build a real-time streaming analytics pipeline in 5 steps. Covers Kafka, Flink, and cloud-native architectures with latency benchmarks and code examples.";
$article_keywords = "real-time analytics, streaming data, Apache Kafka, real-time dashboards, stream processing, data streaming UK";
$article_author = "UK Data Services Analytics Team";
$canonical_url = "https://ukdataservices.co.uk/blog/articles/real-time-analytics-streaming";
$canonical_url = "https://ukdataservices.co.uk/blog/articles/real-time-analytics-streaming-data";
$article_published = "2025-06-02T09:00:00+00:00";
$article_modified = "2025-06-02T09:00:00+00:00";
$og_image = "https://ukdataservices.co.uk/assets/images/icon-speed.svg";